RealEarth™ Product Listing

[NWS-Alerts-Coastal-Hazards]

NWS Alerts (Coastal Hazards)

[NWS-Alerts-Convective]

NWS Alerts (Convective)

[NWS-Alerts-Fire-Weather]

NWS Alerts (Fire Weather)

[NWS-Alerts-Hydrologic]

NWS Alerts (Hydrologic)

[NWS-Alerts-Non-Weather-Emergencies]

NWS Alerts (Non-Weather Emergencies)

[NWS-Alerts-Non-Convective]

NWS Alerts (Non Convective)

[NWS-Alerts-Tropical]

NWS Alerts (Tropical)

[NWS-Alerts-Winter-Weather]

NWS Alerts (Winter Weather)

CIMSS-Cloud Top Cooling targets

AIRMET Icing Advisory

AIRMET-Mountain Obscured Advisory

Terminal Aerodrome Forecast (TAF)

AIRMET-Turlulence Advisory

Volcanic Ash Advisories: Ash Clouds

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[turb-grid-32-33-kft]

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VIIRS 375m I-band high spatial resolution imagery provides a greater response over fires of relatively small areas and provides improved mapping of large fire perimeters. The 375m data also has improved nighttime performance. Consequently, these data are well suited for use in support of fire management (e.g., near real-time alert systems), as well as other science applications requiring improved fire mapping fidelity. These data represent mean fire radiative power from SNPP and NOAA-20 Direct Broadcast imagery processed with CSPP software.

Wildland Fire Perimeters - Current

CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS, adapted to the GOES-ABI. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. These products represent a composite of all available 5-min CONUS imagery since sunrise on the given day. These products are expected to be most useful in mid- and low-latitude locations. CONUS region Quick guide

[River-Flood-ABItsp]

CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS, adapted to the GOES-ABI. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. These products represent a composite of all available 5-min CONUS imagery since sunrize through the given hour. These products are expected to be most useful in mid- and low-latitude locations. CONUS region Quick guide

[River-Flood-ABI-hourly]

CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS, adapted to the GOES-ABI. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. These products represent a composite of all available 5-min CONUS imagery since sunrize through the given hour. These products are expected to be most useful in mid- and low-latitude locations. CONUS region Quick guide

[River-Flood-ABItsp-hourly]

CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS, adapted to the GOES-ABI. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. These products represent a composite of all available 5-min CONUS imagery since sunrize through the given hour. These products are expected to be most useful in mid- and low-latitude locations. CONUS region Quick guide

CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS, adapted to the GOES-ABI and Himawari -AHI. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. These products represent a composite of all available 10-min imagery since sunrise on the given day. These products are expected to be most useful in mid- and low-latitude locations. For more information visit: Here

[RIVER-FLD-joint-ABI]

CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS, adapted to the GOES-ABI and Himawari -AHI. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. These products represent a composite of all available ABI-full disk imagery and VIIRS imagery since sunrise on the given day. For more information visit: Here

[RIVER-FLD-joint-AHI]

CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS, adapted to the GOES-ABI and Himawari -AHI. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. These products represent a composite of all available AHI-full disk imagery and VIIRS imagery since sunrise on the given day. For more information visit: Here

[RIVER-FLDglobal-composite1]

CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. These products represent a composite of all available VIIRS daylight imagery over the past 1 day. For more information visit: Here

[RIVER-FLDglobal-composite]

CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. These products represent a composite of all available VIIRS daylight imagery over the past 5 days. For more information visit: Here

CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Alaska region Quick guide

CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Alaska region(Transparent flood-free land) Quick guide

CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Global(CSPP product) Quick guide

CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Missouri Basin Quick guide

CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Missouri Basin(Transparent flood-free land) Quick guide

CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. North Central Basin Quick guide

CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. North Central Basin(Transparent flood-free land) Quick guide

CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. North East Basin Quick guide

CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. North East Basin(Transparent flood-free land) Quick guide

CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Northwest Region Quick guide

CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Northwest Region(Transparent flood-free land) Quick guide

CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Southeast Region Quick guide

CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Southeast Region(Transparent flood-free land) Quick guide

CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Southwest Region Quick guide

CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Southwest Region(Transparent flood-free land) Quick guide

CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. US Quick guide

CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. West Gulf Basin Quick guide

CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. West Gulf Basin(Transparent flood-free land) Quick guide

VIIRS downscaling software is designed to downscale the VIIRS 375-m flood products to 30-m flood products. The software uses VIIRS daily composite flood product as a basis for the downscaling.

View of lsat8-llook-fc-scenes

View of lsat8-llook-tir-scenes

The Worldwide Reference System (WRS) is a global notation used in cataloging Landsat data. Landsat 8 and Landsat 7 follow the WRS-2, as did Landsat 5 and Landsat 4.

View of lsat9-llook-fc-scenes

View of lsat9-llook-tir-scenes

[HRR-CONUS-FZRN-SFC]

HRRR ConUS Latest Freezing MASK

[HRR-CONUS-ICEP-SFC]

HRRR ConUS Latest Ice Mask

[HRR-CONUS-PCP-LATEST]

View of HRR-CONUS-PCP-SFC

[HRR-CONUS-RAIN-SFC]

HRRR ConUS Latest Rain Mask

[HRR-CONUS-RADAR-LATEST]

View of HRR-CONUS-PCP-SFC

[HRR-CONUS-SNOW-SFC]

HRRR ConUS Latest Snow Mask

[RAP-CONUS-PRAT-SFC-DBZ]

View of RAP-CONUS-PRAT-SFC

Terminal Aerodrome Forecast (TAF)

NPP Day/Night Band - Dynamic

[G16-ABI-CONUS-airmass]

G16-ABI-CONUS-airmass

[G16-ABI-CONUS-cloud-phase]

G16-ABI-CONUS-cloud-phase

[G16-ABI-CONUS-convection]

G16-ABI-CONUS-convection

[G16-ABI-CONUS-day-microphysics-abi]

G16-ABI-CONUS-day-microphysics-abi

[G16-ABI-CONUS-dust]

[G16-ABI-CONUS-fire-temperature-awips]

G16-ABI-CONUS-fire-temperature-awips

[G16-ABI-CONUS-geo-color]

G16-ABI-CONUS-geo-color

[G16-ABI-CONUS-ir-sandwich]

G16-ABI-CONUS-ir-sandwich

[G16-ABI-CONUS-night-microphysics]

G16-ABI-CONUS-night-microphysics

[G16-ABI-CONUS-snow-fog]

G16-ABI-CONUS-snow-fog

[G16-ABI-CONUS-true-color]

View of G16-ABI-CONUS-geo-color

[G16-ABI-CONUS-water-vapors2]

G16-ABI-CONUS-water-vapors2

[G16-ABI-CONUS-BAND01]

The 0.47 µm, or “Blue” visible band, is one of two visible bands on the ABI, and provides data for monitoring aerosols. Included on NASA’s MODIS and Suomi NPP VIIRS instruments, this band provides well-established benefits. The geostationary ABI 0.47 µm band will provide nearly continuous daytime observations of dust, haze, smoke and clouds. The 0.47 µm band is more sensitive to aerosols / dust / smoke because it samples a part of the electromagnetic spectrum where clear-sky atmospheric scattering is important

[G16-ABI-CONUS-BAND02]

The ‘Red’ Visible band – 0.64 µm – has the finest spatial resolution (0.5 km at the subsatellite point) of all ABI bands. Thus it is ideal to identify small-scale features such as river fogs and fog/clear air boundaries, or overshooting tops or cumulus clouds. It has also been used to document daytime snow and ice cover, diagnose low-level cloud-drift winds, assist with detection of volcanic ash and analysis of hurricanes and winter storms. The ‘Red’ Visible band is also essential for creation of “true color” imagery.

[G16-ABI-CONUS-BAND03]

The 0.86 μm band (a reflective band) detects daytime clouds, fog, and aerosols and is used to compute the normalized difference vegetation index (NDVI). Its nickname is the “veggie” or “vegetation” band. The 0.86 μm band can detect burn scars and thereby show land characteristics to determine fire and run-off potential. Vegetated land, in general, shows up brighter in this band than in visible bands. Landwater contrast is also large in this band.

[G16-ABI-CONUS-BAND04]

The Cirrus Band (1.37 µm) is unique among the reflective bands on the ABI in that it occupies a region of very strong absorption bywater vapor in the electromagnetic spectrum. It will detect very thin cirrus clouds during the day.

[G16-ABI-CONUS-BAND05]

The Snow/Ice band takes advantage of the difference between the refraction components of water and ice at 1.61 µm. Liquid water clouds are bright in this channel; ice clouds are darker because ice absorbs (rather than reflects) radiation at 1.61 µm. Thus you can infer cloud phase. Fires can also be detected at night using this band.

[G16-ABI-CONUS-BAND06]

The 2.24 μm band, in conjunction with other bands, enables cloud particle size estimation. Cloud particle size changes can indicate cloud development. The 2.24 μm band is also used with other bands to estimate aerosol particle size (by characterizing the aerosol-free background over land), to create cloud masking and to detect hot spots.

[G16-ABI-CONUS-BAND07]

The 3.9 μm band can be used to identify fog and low clouds at night, identify fire hot spots, detect volcanic ash, estimate sea-surface temperatures, and discriminate between ice crystal sizes during the day. Low-level atmospheric vector winds can be estimated with this band, and the band can be used to study urban heat islands. The 3.9 μm is unique among ABI bands because it senses both emitted terrestrial radiation as well as significant reflected solar radiation during the day.

[G16-ABI-CONUS-BAND07-FIRE]

[G16-ABI-CONUS-BAND08]

The 6.2 µm “Upper-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking upper-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm motion, monitoring severe weather potential, estimating upper/ mid-level moisture (for legacy vertical moisture profiles) and identifying regions where the potential for turbulence exists. Further, it can be used to validate numerical model initialization and warming/cooling with time can reveal vertical motions at mid- and upper levels.

[G16-ABI-CONUS-BAND08-VAPR]

The 6.2 µm “Upper-level water vapor” band is one of three water vapor bands on the ABI, andis used for tracking upper-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm motion, monitoring severe weather potential, estimating upper/ mid-level moisture (for legacy vertical moisture profiles) and identifying regions where the potential for turbulence exists. Further, it can be used to validate numerical model initialization and warming/cooling with time can reveal vertical motions at mid- and upper levels.

[G16-ABI-CONUS-BAND09]

The 6.9 µm “Mid-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking middle-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm motion, monitoring severe weather potential, estimating mid-level moisture (for legacy vertical moisture profiles) and identifying regions where turbulence might exist. Surface features are usually not apparent in this band. Brightness Temperatures show cooling because of absorption of energy at 6.9µm by water vapor.

[G16-ABI-CONUS-BAND09-VAPR]

[G16-ABI-CONUS-BAND10]

The 7.3 µm “Lower-level water vapor” band is one of three water vapor bands on the ABI. It typically senses farthest down into the midtroposphere in cloud-free regions, to around 500-750 hPa. It is used to track lowertropospheric winds, identify jet streaks, monitor severe weather potential, estimate lower-level moisture (for legacy vertical moisture profiles), identify regions where the potential for turbulence exists, highlight volcanic plumes that are rich in sulphur dioxide (SO2) and track LakeEffect snow bands.

[G16-ABI-CONUS-BAND10-VAPR]

[G16-ABI-CONUS-BAND11]

The infrared 8.5 μm band is a window channel; there is little atmospheric absorption of energy in clear skies at this wavelength (unless SO2 from a volcanic eruption is present). However, knowledge of emissivity is important in the interpretation of this Band: Differences in surface emissivity at 8.5 μm occur over different soil types, affecting the perceived brightness temperature. Water droplets also have different emissivity properties for 8.5μm radiation compared to other wavelengths. The 8.5μm band was not available on either the Legacy GOES Imager or GOES Sounder.

[G16-ABI-CONUS-BAND12]

The 9.6 μm band gives information both day and night about the dynamics of the atmosphere near the tropopause. This band shows cooler temperatures than the clean window band because both ozone and water vapor absorb 9.6 μm atmospheric energy. The cooling effect is especially apparent at large zenith angles. This band alone cannot diagnose total column ozone: product generation using other bands will be necessary for that.

[G16-ABI-CONUS-BAND13]

The 10.3 μm “clean” infrared window band is less sensitive than other infrared window bands to water vapor absorption, and therefore improves atmospheric moisture corrections, aids in cloud and other atmospheric feature identification/classification, estimation of cloudtop brightness temperature and cloud particle size, and surface property characterization in derived products.

[G16-ABI-CONUS-BAND13-GRAD]

[G16-ABI-CONUS-BAND14]

The infrared 11.2 μm band is a window channel; however, there is absorption of energy by water vapor at this wavelength. Brightness Temperatures (BTs) are affected by this absorption, and 11.2 μm BTs will be cooler than clean window (10.3 μm) BTs – by an amount that is a function of the amount of moisture in the atmosphere. This band has similarities to the legacy infrared channel at 10.7μm.

[G16-ABI-CONUS-BAND15]

Absorption and re-emission of water vapor, particularly in the lower troposphere, slightly cools most non-cloud brightness temperatures (BTs) in the 12.3 μm band compared to the other infrared window channels: the more water vapor, the greater the BT difference. The 12.3 μm band and the 10.3 μm are used to compute the ‘split window difference’. The 10.3 μm “Clean Window” channel is a better choice than the “Dirty Window” (12.3μm) for the monitoring of simple atmospheric phenomena.

[G16-ABI-CONUS-BAND16]

Products derived using the infrared 13.3 μm “Carbon Dioxide” band can be used to delineate the tropopause, to estimate cloudtop heights, to discern the level of Derived Motion Winds, to supplement Automated Surface Observing System (ASOS) sky observations and to identify Volcanic Ash. The 13.3μm band is vital for Baseline Products; that is demonstrated by its presence on heritage GOES Imagers and Sounders. Despite its importance in products, the CO2 channel is typically not used for visual interpretation of weather events.

[G16-ABI-FD-airmass]

[G16-ABI-FD-cloud-phase]

G16-ABI-FD-cloud-phase

[G16-ABI-FD-convection]

G16-ABI-FD-convection

[G16-ABI-FD-day-microphysics-abi]

G16-ABI-FD-day-microphysics-abi

[G16-ABI-FD-fire-temperature-awips]

G16-ABI-FD-fire-temperature-awips

[G16-ABI-FD-geo-color]

G16-ABI-FD-geo-color

[G16-ABI-FD-ir-sandwich]

G16-ABI-FD-ir-sandwich

[G16-ABI-FD-night-microphysics]

G16-ABI-FD-night-microphysics

[G16-ABI-FD-snow-fog]

[G16-ABI-FD-true-color]

View of G16-ABI-FD-geo-color

[G16-ABI-FD-water-vapors2]

G16-ABI-FD-water-vapors2

[G16-ABI-FD-BAND13-GRAD]

The 0.47 µm, or “Blue” visible band, is one of two visible bands on the ABI, and provides data for monitoring aerosols. Included on NASA’s MODIS and Suomi NPP VIIRS instruments, this band provides well-established benefits. The geostationary ABI 0.47 µm band will provide nearly continuous daytime observations of dust, haze, smoke and clouds. The 0.47µm band is more sensitive to aerosols / dust / smoke because it samples a part of the electromagnetic spectrum where clear-sky atmospheric scattering is important.

The Cirrus Band (1.37 µm) is unique among the reflective bands on the ABI in that it occupies a region of very strong absorption by water vapor in the electromagnetic spectrum. It will detect very thin cirrus clouds during the day.

The 3.9 μm band can be used to identify fog and low clouds at night, identify fire hot spots, detect volcanic ash, estimate sea-surface temperatures, and discriminate between ice crystal sizes during the day. Low-level atmospheric vector winds can be estimated with this band, and the band can be used to study urban heat islands. The 3.9μm is unique among ABI bands because it senses both emitted terrestrial radiation as well as significant reflected solar radiation during the day.

The 6.2 µm “Upper-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking upper tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm motion, monitoring severe weather potential, estimating upper/ mid-level moisture (for legacy vertical moisture profiles) and identifying regions where the potential for turbulence exists. Further, it can be used to validate numerical model initialization and warming/cooling with time can reveal vertical motions at mid- and upper levels.

The infrared 8.5 μm band is a window channel; there is little atmospheric absorption of energy in clear skies at this wavelength (unless SO2 from a volcanic eruption is present). However, knowledge of emissivity is important in the interpretation of this Band: Differences in surface emissivity at 8.5 μm occur over different soil types, affecting the perceive brightness temperature. Water droplets also have different emissivity properties for 8.5 μm radiation compared to other wavelengths. The 8.5μm band was not available on either the Legacy GOES Imager or GOES Sounder.

Absorption and re-emission of water vapor, particularly in the lower troposphere, slightly cools most non-cloud brightness temperatures (BTs) in the 12.3 μm band compared to the other infrared window channels: the more water vapor, the greater the BT difference. The 12.3μm band and the 10.3μm are used to compute the ‘split window difference’. The 10.3μm “Clean Window” channel is a better choice than the “Dirty Window” (12.3μm) for the monitoring of simple atmospheric phenomena.

[G16-L2-FLS-Thickness]

Cloud thickness: Estimate of the geometric thickness (cloud top - cloud base) of a single layer liquid water stratus cloud.

	NWS Alerts (All) [NWS-Alerts-All] NWS Alerts (All) NWS Alerts (All)
	NWS Alerts (Coastal Hazards) [NWS-Alerts-Coastal-Hazards] NWS Alerts (Coastal Hazards) NWS Alerts (Coastal Hazards)
	NWS Alerts (Convective) [NWS-Alerts-Convective] NWS Alerts (Convective) NWS Alerts (Convective)
	NWS Alerts (Fire Weather) [NWS-Alerts-Fire-Weather] NWS Alerts (Fire Weather) NWS Alerts (Fire Weather)
	NWS Alerts (Hydrologic) [NWS-Alerts-Hydrologic] NWS Alerts (Hydrologic) NWS Alerts (Hydrologic)
	NWS Alerts (Marine) [NWS-Alerts-Marine] NWS Alerts (Marine) NWS Alerts (Marine)
	NWS Alerts (Non-Weather Emergencies) [NWS-Alerts-Non-Weather-Emergencies] NWS Alerts (Non-Weather Emergencies) NWS Alerts (Non-Weather Emergencies)
	NWS Alerts (Non Convective) [NWS-Alerts-Non-Convective] NWS Alerts (Non Convective) NWS Alerts (Non Convective)
	NWS Alerts (Other) [NWS-Alerts-Other] NWS Alerts (Other) NWS Alerts (Other)
	NWS Alerts (Tropical) [NWS-Alerts-Tropical] NWS Alerts (Tropical) NWS Alerts (Tropical)
	NWS Alerts (Winter Weather) [NWS-Alerts-Winter-Weather] NWS Alerts (Winter Weather) NWS Alerts (Winter Weather)

	Cloud Top Cooling targets [CIMSS-CTCtargets] CIMSS-Cloud Top Cooling targets CIMSS-Cloud Top Cooling targets
	Icing Advisory [AIRMET-ICE] AIRMET Icing Advisory AIRMET Icing Advisory
	IFR Advisory [AIRMET-IFR] AIRMET-IFR Advisory AIRMET-IFR Advisory
	Mountains Obscured Advisory [AIRMET-MTN] AIRMET-Mountain Obscured Advisory AIRMET-Mountain Obscured Advisory
	Terminal Area Forecasts [TAF] Terminal Aerodrome Forecast (TAF) Terminal Aerodrome Forecast (TAF)
	Turbulence Advisory [AIRMET-TURB] AIRMET-Turlulence Advisory AIRMET-Turlulence Advisory
	Volcanic Ash Adv plumes [VAA] Volcanic Ash Advisories: Ash Clouds Volcanic Ash Advisories: Ash Clouds
	Turbulence Probability 30-31kft [turb-grid-30-31-kft]
	Turbulence Probability 32-33kft [turb-grid-32-33-kft]
	Turbulence Probability 34-35kft [turb-grid-34-35-kft]
	Turbulence Probability 36-37kft [turb-grid-36-37-kft]
	Turbulence Probability 38-39kft [turb-grid-38-39-kft] turb-grid-38-39-kft turb-grid-38-39-kft
	Turbulence Probability 40-41kft [turb-grid-40-41-kft]
	Turbulence Probability Contours 30-31kft [turb-poly-30-31-kft]
	Turbulence Probability Contours 32-33kft [turb-poly-32-33-kft]
	Turbulence Probability Contours 34-35kft [turb-poly-34-35-kft]
	Turbulence Probability Contours 36-37kft [turb-poly-36-37-kft]
	Turbulence Probability Contours 38-39kft [turb-poly-38-39-kft]
	Turbulence Probability Contours 40-41kft [turb-poly-40-41-kft]
	Turbulence Probability Contours Max 30-41kft [turb-poly-Max-Value-30-41-kft]
	Turbulence Probability Max 30-41kft [turb-grid-Max-Value-30-41-kft]

	VIIRS Fire Radiative Power I-band DB ConUS [AFIMG-Points] VIIRS 375m I-band high spatial resolution imagery provides a greater response over fires of relatively small areas and provides improved mapping of large fire perimeters. The 375m data also has improved nighttime... VIIRS 375m I-band high spatial resolution imagery provides a greater response over fires of relatively small areas and provides improved mapping of large fire perimeters. The 375m data also has improved nighttime performance. Consequently, these data are well suited for use in support of fire management (e.g., near real-time alert systems), as well as other science applications requiring improved fire mapping fidelity. These data represent mean fire radiative power from SNPP and NOAA-20 Direct Broadcast imagery processed with CSPP software.
	Wildland Fire Locations - 24 Hour [WFIGS-24Hour]
	Wildland Fire Locations - Current [WFIGS-Current]
	Wildland Fire Perimeters - Current [WFIGS-Perimeters] Wildland Fire Perimeters - Current Wildland Fire Perimeters - Current

	River Flood: ABI-daily [River-Flood-ABI] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS, adapted to the GOES-ABI. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover,... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS, adapted to the GOES-ABI. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. These products represent a composite of all available 5-min CONUS imagery since sunrise on the given day. These products are expected to be most useful in mid- and low-latitude locations. CONUS region Quick guide
	River Flood: ABI-daily (tsp) [River-Flood-ABItsp] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS, adapted to the GOES-ABI. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover,... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS, adapted to the GOES-ABI. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. These products represent a composite of all available 5-min CONUS imagery since sunrize through the given hour. These products are expected to be most useful in mid- and low-latitude locations. CONUS region Quick guide
	River Flood: ABI-hourly [River-Flood-ABI-hourly] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS, adapted to the GOES-ABI. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover,... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS, adapted to the GOES-ABI. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. These products represent a composite of all available 5-min CONUS imagery since sunrize through the given hour. These products are expected to be most useful in mid- and low-latitude locations. CONUS region Quick guide
	River Flood: ABI-hourly (tsp) [River-Flood-ABItsp-hourly] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS, adapted to the GOES-ABI. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover,... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS, adapted to the GOES-ABI. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. These products represent a composite of all available 5-min CONUS imagery since sunrize through the given hour. These products are expected to be most useful in mid- and low-latitude locations. CONUS region Quick guide
	River Flood: AHI [RIVER-FLD-AHI] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS, adapted to the GOES-ABI and Himawari -AHI. The product provides an estimate of flooding water fractions, regions of ice, cloud,... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS, adapted to the GOES-ABI and Himawari -AHI. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. These products represent a composite of all available 10-min imagery since sunrise on the given day. These products are expected to be most useful in mid- and low-latitude locations. For more information visit: Here
	River Flood: Joint ABI/VIIRS [RIVER-FLD-joint-ABI] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS, adapted to the GOES-ABI and Himawari -AHI. The product provides an estimate of flooding water fractions, regions of ice, cloud,... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS, adapted to the GOES-ABI and Himawari -AHI. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. These products represent a composite of all available ABI-full disk imagery and VIIRS imagery since sunrise on the given day. For more information visit: Here
	River Flood: Joint AHI/VIIRS [RIVER-FLD-joint-AHI] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS, adapted to the GOES-ABI and Himawari -AHI. The product provides an estimate of flooding water fractions, regions of ice, cloud,... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS, adapted to the GOES-ABI and Himawari -AHI. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. These products represent a composite of all available AHI-full disk imagery and VIIRS imagery since sunrise on the given day. For more information visit: Here

	River Flood: 1 day VIIRS composite [RIVER-FLDglobal-composite1] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. These products... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. These products represent a composite of all available VIIRS daylight imagery over the past 1 day. For more information visit: Here
	River Flood: 5 day VIIRS composite [RIVER-FLDglobal-composite] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. These products... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. These products represent a composite of all available VIIRS daylight imagery over the past 5 days. For more information visit: Here
	River Flood: Alaska [RIVER-FLDall-AP] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Alaska region Quick guide
	River Flood: Alaska (transparent) [RIVER-FLDtsp-AP] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Alaska region(Transparent flood-free land) Quick guide
	River Flood: Global [RIVER-FLDglobal] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Global(CSPP product) Quick guide
	River Flood: Missouri Basin [RIVER-FLDall-MB] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Missouri Basin Quick guide
	River Flood: Missouri Basin (transparent) [RIVER-FLDtsp-MB] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Missouri Basin(Transparent flood-free land) Quick guide
	River Flood: North Central Basin [RIVER-FLDall-NC] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. North Central Basin Quick guide
	River Flood: North Central Basin (transparent) [RIVER-FLDtsp-NC] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. North Central Basin(Transparent flood-free land) Quick guide
	River Flood: North East Basin [RIVER-FLDall-NE] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. North East Basin Quick guide
	River Flood: North East Basin (transparent) [RIVER-FLDtsp-NE] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. North East Basin(Transparent flood-free land) Quick guide
	River Flood: North West [RIVER-FLDall-NW] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Northwest Region Quick guide
	River Flood: North West (transparent) [RIVER-FLDtsp-NW] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Northwest Region(Transparent flood-free land) Quick guide
	River Flood: South East [RIVER-FLDall-SE] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Southeast Region Quick guide
	River Flood: South East (transparent) [RIVER-FLDtsp-SE] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Southeast Region(Transparent flood-free land) Quick guide
	River Flood: South West [RIVER-FLDall-SW] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Southwest Region Quick guide
	River Flood: South West (tsp) [RIVER-FLDtsp-SW] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Southwest Region(Transparent flood-free land) Quick guide
	River Flood: US [RIVER-FLDall-US] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. US Quick guide
	River Flood: West Gulf Basin [RIVER-FLDall-WG] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. West Gulf Basin Quick guide
	River Flood: West Gulf Basin (transparent) [RIVER-FLDtsp-WG] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. West Gulf Basin(Transparent flood-free land) Quick guide
	VIIRS Floodwater Depth [VIIRS-3Dflood] VIIRS downscaling software is designed to downscale the VIIRS 375-m flood products to 30-m flood products. The software uses VIIRS daily composite flood product as a basis for the downscaling. VIIRS downscaling software is designed to downscale the VIIRS 375-m flood products to 30-m flood products. The software uses VIIRS daily composite flood product as a basis for the downscaling.

	Landsat 8 Look Natural Color (Swaths) [lsat8-llook-fc] View of lsat8-llook-fc-scenes View of lsat8-llook-fc-scenes
	Landsat 8 Look Thermal IR (Swaths) [lsat8-llook-tir] View of lsat8-llook-tir-scenes View of lsat8-llook-tir-scenes
	Landsat Footprints (WRS-2) [wrs2-land] The Worldwide Reference System (WRS) is a global notation used in cataloging Landsat data. Landsat 8 and Landsat 7 follow the WRS-2, as did Landsat 5 and Landsat 4. The Worldwide Reference System (WRS) is a global notation used in cataloging Landsat data. Landsat 8 and Landsat 7 follow the WRS-2, as did Landsat 5 and Landsat 4.

	Landsat 9 Look Natural Color (Swaths) [lsat9-llook-fc] View of lsat9-llook-fc-scenes View of lsat9-llook-fc-scenes
	Landsat 9 Look Thermal IR (Swaths) [lsat9-llook-tir] View of lsat9-llook-tir-scenes View of lsat9-llook-tir-scenes

	HRRR ConUS Latest Freezing MASK [HRR-CONUS-FZRN-SFC] HRRR ConUS Latest Freezing MASK HRRR ConUS Latest Freezing MASK
	HRRR ConUS Latest Ice Mask [HRR-CONUS-ICEP-SFC] HRRR ConUS Latest Ice Mask HRRR ConUS Latest Ice Mask
	HRRR ConUS Latest Precipitation Rate [HRR-CONUS-PCP-LATEST] View of HRR-CONUS-PCP-SFC View of HRR-CONUS-PCP-SFC
	HRRR ConUS Latest Rain Mask [HRR-CONUS-RAIN-SFC] HRRR ConUS Latest Rain Mask HRRR ConUS Latest Rain Mask
	HRRR ConUS Latest Rate Mask [HRR-CONUS-PCP-SFC] HRR-CONUS-PCP-SFC HRR-CONUS-PCP-SFC
	HRRR ConUS Latest Simulated Radar [HRR-CONUS-RADAR-LATEST] View of HRR-CONUS-PCP-SFC View of HRR-CONUS-PCP-SFC
	HRRR ConUS Latest Snow Mask [HRR-CONUS-SNOW-SFC] HRRR ConUS Latest Snow Mask HRRR ConUS Latest Snow Mask
	RAP ConUS Latest Simulated Radar [RAP-CONUS-PRAT-SFC-DBZ] View of RAP-CONUS-PRAT-SFC View of RAP-CONUS-PRAT-SFC
	Terminal Area Forecasts [TAF] Terminal Aerodrome Forecast (TAF) Terminal Aerodrome Forecast (TAF)

	G16-ABI-CONUS-airmass [G16-ABI-CONUS-airmass] G16-ABI-CONUS-airmass G16-ABI-CONUS-airmass
	G16-ABI-CONUS-ash [G16-ABI-CONUS-ash] G16-ABI-CONUS-ash G16-ABI-CONUS-ash
	G16-ABI-CONUS-cloud-phase [G16-ABI-CONUS-cloud-phase] G16-ABI-CONUS-cloud-phase G16-ABI-CONUS-cloud-phase
	G16-ABI-CONUS-convection [G16-ABI-CONUS-convection] G16-ABI-CONUS-convection G16-ABI-CONUS-convection
	G16-ABI-CONUS-day-microphysics-abi [G16-ABI-CONUS-day-microphysics-abi] G16-ABI-CONUS-day-microphysics-abi G16-ABI-CONUS-day-microphysics-abi
	G16-ABI-CONUS-dust [G16-ABI-CONUS-dust] G16-ABI-CONUS-dust G16-ABI-CONUS-dust
	G16-ABI-CONUS-fire-temperature-awips [G16-ABI-CONUS-fire-temperature-awips] G16-ABI-CONUS-fire-temperature-awips G16-ABI-CONUS-fire-temperature-awips
	G16-ABI-CONUS-fog [G16-ABI-CONUS-fog] G16-ABI-CONUS-fog G16-ABI-CONUS-fog
	G16-ABI-CONUS-geo-color [G16-ABI-CONUS-geo-color] G16-ABI-CONUS-geo-color G16-ABI-CONUS-geo-color
	G16-ABI-CONUS-ir-sandwich [G16-ABI-CONUS-ir-sandwich] G16-ABI-CONUS-ir-sandwich G16-ABI-CONUS-ir-sandwich
	G16-ABI-CONUS-night-microphysics [G16-ABI-CONUS-night-microphysics] G16-ABI-CONUS-night-microphysics G16-ABI-CONUS-night-microphysics
	G16-ABI-CONUS-snow-fog [G16-ABI-CONUS-snow-fog] G16-ABI-CONUS-snow-fog G16-ABI-CONUS-snow-fog
	G16-ABI-CONUS-so2 [G16-ABI-CONUS-so2] G16-ABI-CONUS-so2 G16-ABI-CONUS-so2
	G16-ABI-CONUS-true-color [G16-ABI-CONUS-true-color] View of G16-ABI-CONUS-geo-color View of G16-ABI-CONUS-geo-color
	G16-ABI-CONUS-water-vapors2 [G16-ABI-CONUS-water-vapors2] G16-ABI-CONUS-water-vapors2 G16-ABI-CONUS-water-vapors2
	GOES East ABI ConUS B01 "Blue" Visible [G16-ABI-CONUS-BAND01] The 0.47 µm, or “Blue” visible band, is one of two visible bands on the ABI, and provides data for monitoring aerosols. Included on NASA’s MODIS and Suomi NPP VIIRS instruments, this band provides well-established... The 0.47 µm, or “Blue” visible band, is one of two visible bands on the ABI, and provides data for monitoring aerosols. Included on NASA’s MODIS and Suomi NPP VIIRS instruments, this band provides well-established benefits. The geostationary ABI 0.47 µm band will provide nearly continuous daytime observations of dust, haze, smoke and clouds. The 0.47 µm band is more sensitive to aerosols / dust / smoke because it samples a part of the electromagnetic spectrum where clear-sky atmospheric scattering is important
	GOES East ABI ConUS B02 Hi-Res "Red" Visible [G16-ABI-CONUS-BAND02] The ‘Red’ Visible band – 0.64 µm – has the finest spatial resolution (0.5 km at the subsatellite point) of all ABI bands. Thus it is ideal to identify small-scale features such as river fogs and fog/clear air... The ‘Red’ Visible band – 0.64 µm – has the finest spatial resolution (0.5 km at the subsatellite point) of all ABI bands. Thus it is ideal to identify small-scale features such as river fogs and fog/clear air boundaries, or overshooting tops or cumulus clouds. It has also been used to document daytime snow and ice cover, diagnose low-level cloud-drift winds, assist with detection of volcanic ash and analysis of hurricanes and winter storms. The ‘Red’ Visible band is also essential for creation of “true color” imagery.
	GOES East ABI ConUS B03 "Veggie" [G16-ABI-CONUS-BAND03] The 0.86 μm band (a reflective band) detects daytime clouds, fog, and aerosols and is used to compute the normalized difference vegetation index (NDVI). Its nickname is the “veggie” or “vegetation” band. The 0.86... The 0.86 μm band (a reflective band) detects daytime clouds, fog, and aerosols and is used to compute the normalized difference vegetation index (NDVI). Its nickname is the “veggie” or “vegetation” band. The 0.86 μm band can detect burn scars and thereby show land characteristics to determine fire and run-off potential. Vegetated land, in general, shows up brighter in this band than in visible bands. Landwater contrast is also large in this band.
	GOES East ABI ConUS B04 Cirrus [G16-ABI-CONUS-BAND04] The Cirrus Band (1.37 µm) is unique among the reflective bands on the ABI in that it occupies a region of very strong absorption bywater vapor in the electromagnetic spectrum. It will detect very thin cirrus clouds during the... The Cirrus Band (1.37 µm) is unique among the reflective bands on the ABI in that it occupies a region of very strong absorption bywater vapor in the electromagnetic spectrum. It will detect very thin cirrus clouds during the day.
	GOES East ABI ConUS B05 Snow/Ice [G16-ABI-CONUS-BAND05] The Snow/Ice band takes advantage of the difference between the refraction components of water and ice at 1.61 µm. Liquid water clouds are bright in this channel; ice clouds are darker because ice absorbs (rather than... The Snow/Ice band takes advantage of the difference between the refraction components of water and ice at 1.61 µm. Liquid water clouds are bright in this channel; ice clouds are darker because ice absorbs (rather than reflects) radiation at 1.61 µm. Thus you can infer cloud phase. Fires can also be detected at night using this band.
	GOES East ABI ConUS B06 Cloud Particle Size [G16-ABI-CONUS-BAND06] The 2.24 μm band, in conjunction with other bands, enables cloud particle size estimation. Cloud particle size changes can indicate cloud development. The 2.24 μm band is also used with other bands to estimate... The 2.24 μm band, in conjunction with other bands, enables cloud particle size estimation. Cloud particle size changes can indicate cloud development. The 2.24 μm band is also used with other bands to estimate aerosol particle size (by characterizing the aerosol-free background over land), to create cloud masking and to detect hot spots.
	GOES East ABI ConUS B07 "Fire" [G16-ABI-CONUS-BAND07] The 3.9 μm band can be used to identify fog and low clouds at night, identify fire hot spots, detect volcanic ash, estimate sea-surface temperatures, and discriminate between ice crystal sizes during the day.... The 3.9 μm band can be used to identify fog and low clouds at night, identify fire hot spots, detect volcanic ash, estimate sea-surface temperatures, and discriminate between ice crystal sizes during the day. Low-level atmospheric vector winds can be estimated with this band, and the band can be used to study urban heat islands. The 3.9 μm is unique among ABI bands because it senses both emitted terrestrial radiation as well as significant reflected solar radiation during the day.
	GOES East ABI ConUS B07 "Fire" enhanced [G16-ABI-CONUS-BAND07-FIRE] The 3.9 μm band can be used to identify fog and low clouds at night, identify fire hot spots, detect volcanic ash, estimate sea-surface temperatures, and discriminate between ice crystal sizes during the day.... The 3.9 μm band can be used to identify fog and low clouds at night, identify fire hot spots, detect volcanic ash, estimate sea-surface temperatures, and discriminate between ice crystal sizes during the day. Low-level atmospheric vector winds can be estimated with this band, and the band can be used to study urban heat islands. The 3.9 μm is unique among ABI bands because it senses both emitted terrestrial radiation as well as significant reflected solar radiation during the day.
	GOES East ABI ConUS B08 Upper-level Water Vapor [G16-ABI-CONUS-BAND08] The 6.2 µm “Upper-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking upper-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm... The 6.2 µm “Upper-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking upper-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm motion, monitoring severe weather potential, estimating upper/ mid-level moisture (for legacy vertical moisture profiles) and identifying regions where the potential for turbulence exists. Further, it can be used to validate numerical model initialization and warming/cooling with time can reveal vertical motions at mid- and upper levels.
	GOES East ABI ConUS B08 Upper-level Water Vapor enhanced [G16-ABI-CONUS-BAND08-VAPR] The 6.2 µm “Upper-level water vapor” band is one of three water vapor bands on the ABI, andis used for tracking upper-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm... The 6.2 µm “Upper-level water vapor” band is one of three water vapor bands on the ABI, andis used for tracking upper-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm motion, monitoring severe weather potential, estimating upper/ mid-level moisture (for legacy vertical moisture profiles) and identifying regions where the potential for turbulence exists. Further, it can be used to validate numerical model initialization and warming/cooling with time can reveal vertical motions at mid- and upper levels.
	GOES East ABI ConUS B09 Mid-level Water Vapor [G16-ABI-CONUS-BAND09] The 6.9 µm “Mid-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking middle-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm... The 6.9 µm “Mid-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking middle-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm motion, monitoring severe weather potential, estimating mid-level moisture (for legacy vertical moisture profiles) and identifying regions where turbulence might exist. Surface features are usually not apparent in this band. Brightness Temperatures show cooling because of absorption of energy at 6.9µm by water vapor.
	GOES East ABI ConUS B09 Mid-level Water Vapor enhanced [G16-ABI-CONUS-BAND09-VAPR] The 6.9 µm “Mid-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking middle-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm... The 6.9 µm “Mid-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking middle-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm motion, monitoring severe weather potential, estimating mid-level moisture (for legacy vertical moisture profiles) and identifying regions where turbulence might exist. Surface features are usually not apparent in this band. Brightness Temperatures show cooling because of absorption of energy at 6.9µm by water vapor.
	GOES East ABI ConUS B10 Lower-level Water Vapor [G16-ABI-CONUS-BAND10] The 7.3 µm “Lower-level water vapor” band is one of three water vapor bands on the ABI. It typically senses farthest down into the midtroposphere in cloud-free regions, to around 500-750 hPa. It is used to track... The 7.3 µm “Lower-level water vapor” band is one of three water vapor bands on the ABI. It typically senses farthest down into the midtroposphere in cloud-free regions, to around 500-750 hPa. It is used to track lowertropospheric winds, identify jet streaks, monitor severe weather potential, estimate lower-level moisture (for legacy vertical moisture profiles), identify regions where the potential for turbulence exists, highlight volcanic plumes that are rich in sulphur dioxide (SO2) and track LakeEffect snow bands.
	GOES East ABI ConUS B10 Lower-level Water Vapor enhanced [G16-ABI-CONUS-BAND10-VAPR] The 7.3 µm “Lower-level water vapor” band is one of three water vapor bands on the ABI. It typically senses farthest down into the midtroposphere in cloud-free regions, to around 500-750 hPa. It is used to track... The 7.3 µm “Lower-level water vapor” band is one of three water vapor bands on the ABI. It typically senses farthest down into the midtroposphere in cloud-free regions, to around 500-750 hPa. It is used to track lowertropospheric winds, identify jet streaks, monitor severe weather potential, estimate lower-level moisture (for legacy vertical moisture profiles), identify regions where the potential for turbulence exists, highlight volcanic plumes that are rich in sulphur dioxide (SO2) and track LakeEffect snow bands.
	GOES East ABI ConUS B11 Cloud Phase [G16-ABI-CONUS-BAND11] The infrared 8.5 μm band is a window channel; there is little atmospheric absorption of energy in clear skies at this wavelength (unless SO2 from a volcanic eruption is present). However, knowledge of emissivity is... The infrared 8.5 μm band is a window channel; there is little atmospheric absorption of energy in clear skies at this wavelength (unless SO2 from a volcanic eruption is present). However, knowledge of emissivity is important in the interpretation of this Band: Differences in surface emissivity at 8.5 μm occur over different soil types, affecting the perceived brightness temperature. Water droplets also have different emissivity properties for 8.5μm radiation compared to other wavelengths. The 8.5μm band was not available on either the Legacy GOES Imager or GOES Sounder.
	GOES East ABI ConUS B12 Ozone [G16-ABI-CONUS-BAND12] The 9.6 μm band gives information both day and night about the dynamics of the atmosphere near the tropopause. This band shows cooler temperatures than the clean window band because both ozone and water vapor... The 9.6 μm band gives information both day and night about the dynamics of the atmosphere near the tropopause. This band shows cooler temperatures than the clean window band because both ozone and water vapor absorb 9.6 μm atmospheric energy. The cooling effect is especially apparent at large zenith angles. This band alone cannot diagnose total column ozone: product generation using other bands will be necessary for that.
	GOES East ABI ConUS B13 "Clean" Infrared [G16-ABI-CONUS-BAND13] The 10.3 μm “clean” infrared window band is less sensitive than other infrared window bands to water vapor absorption, and therefore improves atmospheric moisture corrections, aids in cloud and other atmospheric... The 10.3 μm “clean” infrared window band is less sensitive than other infrared window bands to water vapor absorption, and therefore improves atmospheric moisture corrections, aids in cloud and other atmospheric feature identification/classification, estimation of cloudtop brightness temperature and cloud particle size, and surface property characterization in derived products.
	GOES East ABI ConUS B13 "Clean" Infrared enhanced [G16-ABI-CONUS-BAND13-GRAD] The 10.3 μm “clean” infrared window band is less sensitive than other infrared window bands to water vapor absorption, and therefore improves atmospheric moisture corrections, aids in cloud and other atmospheric... The 10.3 μm “clean” infrared window band is less sensitive than other infrared window bands to water vapor absorption, and therefore improves atmospheric moisture corrections, aids in cloud and other atmospheric feature identification/classification, estimation of cloudtop brightness temperature and cloud particle size, and surface property characterization in derived products.
	GOES East ABI ConUS B14 Infrared [G16-ABI-CONUS-BAND14] The infrared 11.2 μm band is a window channel; however, there is absorption of energy by water vapor at this wavelength. Brightness Temperatures (BTs) are affected by this absorption, and 11.2 μm BTs will... The infrared 11.2 μm band is a window channel; however, there is absorption of energy by water vapor at this wavelength. Brightness Temperatures (BTs) are affected by this absorption, and 11.2 μm BTs will be cooler than clean window (10.3 μm) BTs – by an amount that is a function of the amount of moisture in the atmosphere. This band has similarities to the legacy infrared channel at 10.7μm.
	GOES East ABI ConUS B15 "Dirty" Infrared [G16-ABI-CONUS-BAND15] Absorption and re-emission of water vapor, particularly in the lower troposphere, slightly cools most non-cloud brightness temperatures (BTs) in the 12.3 μm band compared to the other infrared window channels: the more... Absorption and re-emission of water vapor, particularly in the lower troposphere, slightly cools most non-cloud brightness temperatures (BTs) in the 12.3 μm band compared to the other infrared window channels: the more water vapor, the greater the BT difference. The 12.3 μm band and the 10.3 μm are used to compute the ‘split window difference’. The 10.3 μm “Clean Window” channel is a better choice than the “Dirty Window” (12.3μm) for the monitoring of simple atmospheric phenomena.
	GOES East ABI ConUS B16 Carbon Dioxide [G16-ABI-CONUS-BAND16] Products derived using the infrared 13.3 μm “Carbon Dioxide” band can be used to delineate the tropopause, to estimate cloudtop heights, to discern the level of Derived Motion Winds, to supplement Automated Surface... Products derived using the infrared 13.3 μm “Carbon Dioxide” band can be used to delineate the tropopause, to estimate cloudtop heights, to discern the level of Derived Motion Winds, to supplement Automated Surface Observing System (ASOS) sky observations and to identify Volcanic Ash. The 13.3μm band is vital for Baseline Products; that is demonstrated by its presence on heritage GOES Imagers and Sounders. Despite its importance in products, the CO2 channel is typically not used for visual interpretation of weather events.

	G16-ABI-FD-airmass [G16-ABI-FD-airmass] G16-ABI-FD-airmass G16-ABI-FD-airmass
	G16-ABI-FD-ash [G16-ABI-FD-ash] G16-ABI-FD-ash G16-ABI-FD-ash
	G16-ABI-FD-cloud-phase [G16-ABI-FD-cloud-phase] G16-ABI-FD-cloud-phase G16-ABI-FD-cloud-phase
	G16-ABI-FD-convection [G16-ABI-FD-convection] G16-ABI-FD-convection G16-ABI-FD-convection
	G16-ABI-FD-day-microphysics-abi [G16-ABI-FD-day-microphysics-abi] G16-ABI-FD-day-microphysics-abi G16-ABI-FD-day-microphysics-abi
	G16-ABI-FD-dust [G16-ABI-FD-dust] G16-ABI-FD-dust G16-ABI-FD-dust
	G16-ABI-FD-fire-temperature-awips [G16-ABI-FD-fire-temperature-awips] G16-ABI-FD-fire-temperature-awips G16-ABI-FD-fire-temperature-awips
	G16-ABI-FD-fog [G16-ABI-FD-fog] G16-ABI-FD-fog G16-ABI-FD-fog
	G16-ABI-FD-geo-color [G16-ABI-FD-geo-color] G16-ABI-FD-geo-color G16-ABI-FD-geo-color
	G16-ABI-FD-ir-sandwich [G16-ABI-FD-ir-sandwich] G16-ABI-FD-ir-sandwich G16-ABI-FD-ir-sandwich
	G16-ABI-FD-night-microphysics [G16-ABI-FD-night-microphysics] G16-ABI-FD-night-microphysics G16-ABI-FD-night-microphysics
	G16-ABI-FD-snow-fog [G16-ABI-FD-snow-fog] G16-ABI-FD-snow-fog G16-ABI-FD-snow-fog
	G16-ABI-FD-so2 [G16-ABI-FD-so2] G16-ABI-FD-so2 G16-ABI-FD-so2
	G16-ABI-FD-true-color [G16-ABI-FD-true-color] View of G16-ABI-FD-geo-color View of G16-ABI-FD-geo-color
	G16-ABI-FD-water-vapors2 [G16-ABI-FD-water-vapors2] G16-ABI-FD-water-vapors2 G16-ABI-FD-water-vapors2
	GOES East ABI ConUS B13 "Clean" Infrared enhanced [G16-ABI-FD-BAND13-GRAD] The 10.3 μm “clean” infrared window band is less sensitive than other infrared window bands to water vapor absorption, and therefore improves atmospheric moisture corrections, aids in cloud and other atmospheric... The 10.3 μm “clean” infrared window band is less sensitive than other infrared window bands to water vapor absorption, and therefore improves atmospheric moisture corrections, aids in cloud and other atmospheric feature identification/classification, estimation of cloudtop brightness temperature and cloud particle size, and surface property characterization in derived products.
	GOES East ABI Full Disk B01 "Blue" Visible [G16-ABI-FD-BAND01] The 0.47 µm, or “Blue” visible band, is one of two visible bands on the ABI, and provides data for monitoring aerosols. Included on NASA’s MODIS and Suomi NPP VIIRS instruments, this band provides well-established... The 0.47 µm, or “Blue” visible band, is one of two visible bands on the ABI, and provides data for monitoring aerosols. Included on NASA’s MODIS and Suomi NPP VIIRS instruments, this band provides well-established benefits. The geostationary ABI 0.47 µm band will provide nearly continuous daytime observations of dust, haze, smoke and clouds. The 0.47µm band is more sensitive to aerosols / dust / smoke because it samples a part of the electromagnetic spectrum where clear-sky atmospheric scattering is important.
	GOES East ABI Full Disk B02 Hi-Res "Red" Visible [G16-ABI-FD-BAND02] The ‘Red’ Visible band – 0.64 µm – has the finest spatial resolution (0.5 km at the subsatellite point) of all ABI bands. Thus it is ideal to identify small-scale features such as river fogs and fog/clear air... The ‘Red’ Visible band – 0.64 µm – has the finest spatial resolution (0.5 km at the subsatellite point) of all ABI bands. Thus it is ideal to identify small-scale features such as river fogs and fog/clear air boundaries, or overshooting tops or cumulus clouds. It has also been used to document daytime snow and ice cover, diagnose low-level cloud-drift winds, assist with detection of volcanic ash and analysis of hurricanes and winter storms. The ‘Red’ Visible band is also essential for creation of “true color imagery.
	GOES East ABI Full Disk B03 "Veggie" [G16-ABI-FD-BAND03] The 0.86 μm band (a reflective band) detects daytime clouds, fog, and aerosols and is used to compute the normalized difference vegetation index (NDVI). Its nickname is the “veggie” or “vegetation” band. The 0.86... The 0.86 μm band (a reflective band) detects daytime clouds, fog, and aerosols and is used to compute the normalized difference vegetation index (NDVI). Its nickname is the “veggie” or “vegetation” band. The 0.86 μm band can detect burn scars and thereby show land characteristics to determine fire and run-off potential. Vegetated land, in general, shows up brighter in this band than in visible bands. Landwater contrast is also large in this band.
	GOES East ABI Full Disk B04 Cirrus [G16-ABI-FD-BAND04] The Cirrus Band (1.37 µm) is unique among the reflective bands on the ABI in that it occupies a region of very strong absorption by water vapor in the electromagnetic spectrum. It will detect very thin cirrus clouds during... The Cirrus Band (1.37 µm) is unique among the reflective bands on the ABI in that it occupies a region of very strong absorption by water vapor in the electromagnetic spectrum. It will detect very thin cirrus clouds during the day.
	GOES East ABI Full Disk B05 Snow/Ice [G16-ABI-FD-BAND05] The Snow/Ice band takes advantage of the difference between the refraction components of water and ice at 1.61 µm. Liquid water clouds are bright in this channel; ice clouds are darker because ice absorbs (rather than... The Snow/Ice band takes advantage of the difference between the refraction components of water and ice at 1.61 µm. Liquid water clouds are bright in this channel; ice clouds are darker because ice absorbs (rather than reflects) radiation at 1.61 µm. Thus you can infer cloud phase. Fires can also be detected at night using this band.
	GOES East ABI Full Disk B06 Cloud Particle Size [G16-ABI-FD-BAND06] The 2.24 μm band, in conjunction with other bands, enables cloud particle size estimation. Cloud particle size changes can indicate cloud development. The 2.24 μm band is also used with other bands to estimate... The 2.24 μm band, in conjunction with other bands, enables cloud particle size estimation. Cloud particle size changes can indicate cloud development. The 2.24 μm band is also used with other bands to estimate aerosol particle size (by characterizing the aerosol-free background over land), to create cloud masking and to detect hot spots.
	GOES East ABI Full Disk B07 "Fire" [G16-ABI-FD-BAND07] The 3.9 μm band can be used to identify fog and low clouds at night, identify fire hot spots, detect volcanic ash, estimate sea-surface temperatures, and discriminate between ice crystal sizes during the day.... The 3.9 μm band can be used to identify fog and low clouds at night, identify fire hot spots, detect volcanic ash, estimate sea-surface temperatures, and discriminate between ice crystal sizes during the day. Low-level atmospheric vector winds can be estimated with this band, and the band can be used to study urban heat islands. The 3.9μm is unique among ABI bands because it senses both emitted terrestrial radiation as well as significant reflected solar radiation during the day.
	GOES East ABI Full Disk B08 Upper-level Water Vapor [G16-ABI-FD-BAND08] The 6.2 µm “Upper-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking upper tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm... The 6.2 µm “Upper-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking upper tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm motion, monitoring severe weather potential, estimating upper/ mid-level moisture (for legacy vertical moisture profiles) and identifying regions where the potential for turbulence exists. Further, it can be used to validate numerical model initialization and warming/cooling with time can reveal vertical motions at mid- and upper levels.
	GOES East ABI Full Disk B09 Mid-level Water Vapor [G16-ABI-FD-BAND09] The 6.9 µm “Mid-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking middle-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm... The 6.9 µm “Mid-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking middle-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm motion, monitoring severe weather potential, estimating mid-level moisture (for legacy vertical moisture profiles) and identifying regions where turbulence might exist. Surface features are usually not apparent in this band. Brightness Temperatures show cooling because of absorption of energy at 6.9µm by water vapor.
	GOES East ABI Full Disk B10 Lower-level Water Vapor [G16-ABI-FD-BAND10] The 7.3 µm “Lower-level water vapor” band is one of three water vapor bands on the ABI. It typically senses farthest down into the midtroposphere in cloud-free regions, to around 500-750 hPa. It is used to track... The 7.3 µm “Lower-level water vapor” band is one of three water vapor bands on the ABI. It typically senses farthest down into the midtroposphere in cloud-free regions, to around 500-750 hPa. It is used to track lowertropospheric winds, identify jet streaks, monitor severe weather potential, estimate lower-level moisture (for legacy vertical moisture profiles), identify regions where the potential for turbulence exists, highlight volcanic plumes that are rich in sulphur dioxide (SO2) and track LakeEffect snow bands.
	GOES East ABI Full Disk B11 Cloud Phase [G16-ABI-FD-BAND11] The infrared 8.5 μm band is a window channel; there is little atmospheric absorption of energy in clear skies at this wavelength (unless SO2 from a volcanic eruption is present). However, knowledge of emissivity is... The infrared 8.5 μm band is a window channel; there is little atmospheric absorption of energy in clear skies at this wavelength (unless SO2 from a volcanic eruption is present). However, knowledge of emissivity is important in the interpretation of this Band: Differences in surface emissivity at 8.5 μm occur over different soil types, affecting the perceive brightness temperature. Water droplets also have different emissivity properties for 8.5 μm radiation compared to other wavelengths. The 8.5μm band was not available on either the Legacy GOES Imager or GOES Sounder.
	GOES East ABI Full Disk B12 Ozone [G16-ABI-FD-BAND12] The 9.6 μm band gives information both day and night about the dynamics of the atmosphere near the tropopause. This band shows cooler temperatures than the clean window band because both ozone and water vapor... The 9.6 μm band gives information both day and night about the dynamics of the atmosphere near the tropopause. This band shows cooler temperatures than the clean window band because both ozone and water vapor absorb 9.6 μm atmospheric energy. The cooling effect is especially apparent at large zenith angles. This band alone cannot diagnose total column ozone: product generation using other bands will be necessary for that.
	GOES East ABI Full Disk B13 "Clean" Infrared [G16-ABI-FD-BAND13] The 10.3 μm “clean” infrared window band is less sensitive than other infrared window bands to water vapor absorption, and therefore improves atmospheric moisture corrections, aids in cloud and other atmospheric... The 10.3 μm “clean” infrared window band is less sensitive than other infrared window bands to water vapor absorption, and therefore improves atmospheric moisture corrections, aids in cloud and other atmospheric feature identification/classification, estimation of cloudtop brightness temperature and cloud particle size, and surface property characterization in derived products.
	GOES East ABI Full Disk B14 Infrared [G16-ABI-FD-BAND14] The infrared 11.2 μm band is a window channel; however, there is absorption of energy by water vapor at this wavelength. Brightness Temperatures (BTs) are affected by this absorption, and 11.2 μm BTs will... The infrared 11.2 μm band is a window channel; however, there is absorption of energy by water vapor at this wavelength. Brightness Temperatures (BTs) are affected by this absorption, and 11.2 μm BTs will be cooler than clean window (10.3 μm) BTs – by an amount that is a function of the amount of moisture in the atmosphere. This band has similarities to the legacy infrared channel at 10.7 μm.
	GOES East ABI Full Disk B15 "Dirty" Infrared [G16-ABI-FD-BAND15] Absorption and re-emission of water vapor, particularly in the lower troposphere, slightly cools most non-cloud brightness temperatures (BTs) in the 12.3 μm band compared to the other infrared window channels: the more... Absorption and re-emission of water vapor, particularly in the lower troposphere, slightly cools most non-cloud brightness temperatures (BTs) in the 12.3 μm band compared to the other infrared window channels: the more water vapor, the greater the BT difference. The 12.3μm band and the 10.3μm are used to compute the ‘split window difference’. The 10.3μm “Clean Window” channel is a better choice than the “Dirty Window” (12.3μm) for the monitoring of simple atmospheric phenomena.
	GOES East ABI Full Disk B16 Carbon Dioxide [G16-ABI-FD-BAND16] Products derived using the infrared 13.3 μm “Carbon Dioxide” band can be used to delineate the tropopause, to estimate cloudtop heights, to discern the level of Derived Motion Winds, to supplement Automated Surface... Products derived using the infrared 13.3 μm “Carbon Dioxide” band can be used to delineate the tropopause, to estimate cloudtop heights, to discern the level of Derived Motion Winds, to supplement Automated Surface Observing System (ASOS) sky observations and to identify Volcanic Ash. The 13.3μm band is vital for Baseline Products; that is demonstrated by its presence on heritage GOES Imagers and Sounders. Despite its importance in products, the CO2 channel is typically not used for visual interpretation of weather events.

	G16 Aerosol Optical Depth (DQF=0) [G16-L2-AOD-DQF0]
	GOES East FLS Cloud Thickness [G16-L2-FLS-Thickness] Cloud thickness: Estimate of the geometric thickness (cloud top - cloud base) of a single layer liquid water stratus cloud. Cloud thickness: Estimate of the geometric thickness (cloud top - cloud base) of a single layer liquid water stratus cloud.
	GOES East FLS IFR Fog Probability [G16-L2-FLS-IFR] IFR probability: Probability that IFR (or lower) flight rule category is present for a given GOES satellite pixel determined by fusing satellite and NWP model data using a naive Bayesian probabilistic model and classifier. IFR probability: Probability that IFR (or lower) flight rule category is present for a given GOES satellite pixel determined by fusing satellite and NWP model data using a naive Bayesian probabilistic model and classifier.
	GOES East FLS LIFR Fog Probability [G16-L2-FLS-LIFR] LIFR probability: Probability that LIFR (or lower) flight rule category is present for a given GOES satellite pixel determined by fusing satellite and NWP model data using a naive Bayesian probabilistic model and classifier. LIFR probability: Probability that LIFR (or lower) flight rule category is present for a given GOES satellite pixel determined by fusing satellite and NWP model data using a naive Bayesian probabilistic model and classifier.
	GOES East FLS MVFR Fog Probability [G16-L2-FLS-MVFR] MVFR probability: Probability that MVFR (or lower) flight rule category is present for a given GOES satellite pixel determined by fusing satellite and NWP model data using a naive Bayesian probabilistic model and classifier. MVFR probability: Probability that MVFR (or lower) flight rule category is present for a given GOES satellite pixel determined by fusing satellite and NWP model data using a naive Bayesian probabilistic model and classifier.

	G16-ABI-MESO1-airmass [G16-ABI-MESO1-airmass] G16-ABI-MESO1-airmass G16-ABI-MESO1-airmass
	G16-ABI-MESO1-ash [G16-ABI-MESO1-ash] G16-ABI-MESO1-ash G16-ABI-MESO1-ash
	G16-ABI-MESO1-cloud-phase [G16-ABI-MESO1-cloud-phase] G16-ABI-MESO1-cloud-phase G16-ABI-MESO1-cloud-phase
	G16-ABI-MESO1-convection [G16-ABI-MESO1-convection] G16-ABI-MESO1-convection G16-ABI-MESO1-convection
	G16-ABI-MESO1-day-microphysics-abi [G16-ABI-MESO1-day-microphysics-abi] G16-ABI-MESO1-day-microphysics-abi G16-ABI-MESO1-day-microphysics-abi
	G16-ABI-MESO1-dust [G16-ABI-MESO1-dust] G16-ABI-MESO1-dust G16-ABI-MESO1-dust
	G16-ABI-MESO1-fire-temperature-awips [G16-ABI-MESO1-fire-temperature-awips] G16-ABI-MESO1-fire-temperature-awips G16-ABI-MESO1-fire-temperature-awips
	G16-ABI-MESO1-fog [G16-ABI-MESO1-fog] G16-ABI-MESO1-fog G16-ABI-MESO1-fog
	G16-ABI-MESO1-geo-color [G16-ABI-MESO1-geo-color] G16-ABI-MESO1-geo-color G16-ABI-MESO1-geo-color
	G16-ABI-MESO1-ir-sandwich [G16-ABI-MESO1-ir-sandwich] G16-ABI-MESO1-ir-sandwich G16-ABI-MESO1-ir-sandwich
	G16-ABI-MESO1-night-microphysics [G16-ABI-MESO1-night-microphysics] G16-ABI-MESO1-night-microphysics G16-ABI-MESO1-night-microphysics
	G16-ABI-MESO1-snow-fog [G16-ABI-MESO1-snow-fog] G16-ABI-MESO1-snow-fog G16-ABI-MESO1-snow-fog
	G16-ABI-MESO1-so2 [G16-ABI-MESO1-so2] G16-ABI-MESO1-so2 G16-ABI-MESO1-so2
	G16-ABI-MESO1-true-color [G16-ABI-MESO1-true-color] View of G16-ABI-MESO1-geo-color View of G16-ABI-MESO1-geo-color
	G16-ABI-MESO1-water-vapors2 [G16-ABI-MESO1-water-vapors2] G16-ABI-MESO1-water-vapors2 G16-ABI-MESO1-water-vapors2
	GOES East ABI Meso1 B01 "Blue" Visible [G16-ABI-MESO1-BAND01] The 0.47 µm, or “Blue” visible band, is one of two visible bands on the ABI, and provides data for monitoring aerosols. Included on NASA’s MODIS and Suomi NPP VIIRS instruments, this band provides... The 0.47 µm, or “Blue” visible band, is one of two visible bands on the ABI, and provides data for monitoring aerosols. Included on NASA’s MODIS and Suomi NPP VIIRS instruments, this band provides well-established benefits. The geostationary ABI 0.47 µm band will provide nearly continuous daytime observations of dust, haze, smoke and clouds. The 0.47 µm band is more sensitive to aerosols / dust / smoke because it samples a part of the electromagnetic spectrum where clear-sky atmospheric scattering is important.
	GOES East ABI Meso1 B02 Hi-Res "Red" Visible [G16-ABI-MESO1-BAND02] The ‘Red’ Visible band – 0.64 µm – has the finest spatial resolution (0.5 km at the subsatellite point) of all ABI bands. Thus it is ideal to identify small-scale features such as river fogs and fog/clear air... The ‘Red’ Visible band – 0.64 µm – has the finest spatial resolution (0.5 km at the subsatellite point) of all ABI bands. Thus it is ideal to identify small-scale features such as river fogs and fog/clear air boundaries, or overshooting tops or cumulus clouds. It has also been used to document daytime snow and ice cover, diagnose low-level cloud-drift winds, assist with detection of volcanic ash and analysis of hurricanes and winter storms. The ‘Red’ Visible band is also essential for creation of “true color” imagery.
	GOES East ABI Meso1 B03 "Veggie" [G16-ABI-MESO1-BAND03] The 0.86 μm band (a reflective band) detects daytime clouds, fog, and aerosols and is used to compute the normalized difference vegetation index (NDVI). Its nickname is the “veggie” or “vegetation” band. The 0.86... The 0.86 μm band (a reflective band) detects daytime clouds, fog, and aerosols and is used to compute the normalized difference vegetation index (NDVI). Its nickname is the “veggie” or “vegetation” band. The 0.86 μm band can detect burn scars and thereby show land characteristics to determine fire and run-off potential. Vegetated land, in general, shows up brighter in this band than in visible bands. Landwater contrast is also large in this band.
	GOES East ABI Meso1 B04 Cirrus [G16-ABI-MESO1-BAND04] The Cirrus Band (1.37 µm) is unique among the reflective bands on the ABI in that it occupies a region of very strong absorption by water vapor in the electromagnetic spectrum. It will detect very thin cirrus clouds during... The Cirrus Band (1.37 µm) is unique among the reflective bands on the ABI in that it occupies a region of very strong absorption by water vapor in the electromagnetic spectrum. It will detect very thin cirrus clouds during the day.
	GOES East ABI Meso1 B05 Snow/Ice [G16-ABI-MESO1-BAND05] The Snow/Ice band takes advantage of the difference between the refraction components of water and ice at 1.61 µm. Liquid water clouds are bright in this channel; ice clouds are darker because ice absorbs (rather than... The Snow/Ice band takes advantage of the difference between the refraction components of water and ice at 1.61 µm. Liquid water clouds are bright in this channel; ice clouds are darker because ice absorbs (rather than reflects) radiation at 1.61 µm. Thus you can infer cloud phase. Fires can also be detected at night using this band.
	GOES East ABI Meso1 B06 Cloud Particle Size [G16-ABI-MESO1-BAND06] The 2.24 μm band, in conjunction with other bands, enables cloud particle size estimation. Cloud particle size changes can indicate cloud development. The 2.24 μm band is also used with other bands to estimate... The 2.24 μm band, in conjunction with other bands, enables cloud particle size estimation. Cloud particle size changes can indicate cloud development. The 2.24 μm band is also used with other bands to estimate aerosol particle size (by characterizing the aerosol-free background over land), to create cloud masking and to detect hot spots.
	GOES East ABI Meso1 B07 "Fire" [G16-ABI-MESO1-BAND07] The 3.9 μm band can be used to identify fog and low clouds at night, identify fire hot spots, detect volcanic ash, estimate sea-surface temperatures, and discriminate between ice crystal sizes during the day.... The 3.9 μm band can be used to identify fog and low clouds at night, identify fire hot spots, detect volcanic ash, estimate sea-surface temperatures, and discriminate between ice crystal sizes during the day. Low-level atmospheric vector winds can be estimated with this band, and the band can be used to study urban heat islands. The 3.9 μm is unique among ABI bands because it senses both emitted terrestrial radiation as well as significant reflected solar radiation during the day.
	GOES East ABI Meso1 B08 Upper-level Water Vapor [G16-ABI-MESO1-BAND08] The 6.2 µm “Upper-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking upper-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm... The 6.2 µm “Upper-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking upper-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm motion, monitoring severe weather potential, estimating upper/ mid-level moisture (for legacy vertical moisture profiles) and identifying regions where the potential for turbulence exists. Further, it can be used to validate numerical model initialization and warming/cooling with time can reveal vertical motions at mid- and upper levels.
	GOES East ABI Meso1 B09 Mid-level Water Vapor [G16-ABI-MESO1-BAND09] The 6.9 µm “Mid-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking middle-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm... The 6.9 µm “Mid-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking middle-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm motion, monitoring severe weather potential, estimating mid-level moisture (for legacy vertical moisture profiles) and identifying regions where turbulence might exist. Surface features are usually not apparent in this band. Brightness Temperatures show cooling because of absorption of energy at 6.9µm by water vapor.
	GOES East ABI Meso1 B10 Lower-level Water Vapor [G16-ABI-MESO1-BAND10] The 7.3 µm “Lower-level water vapor” band is one of three water vapor bands on the ABI. It typically senses farthest down into the midtroposphere in cloud-free regions, to around 500-750 hPa. It is used to track... The 7.3 µm “Lower-level water vapor” band is one of three water vapor bands on the ABI. It typically senses farthest down into the midtroposphere in cloud-free regions, to around 500-750 hPa. It is used to track lowertropospheric winds, identify jet streaks, monitor severe weather potential, estimate lower-level moisture (for legacy vertical moisture profiles), identify regions where the potential for turbulence exists, highlight volcanic plumes thatare rich in sulphur dioxide (SO2) and track LakeEffect snow bands.
	GOES East ABI Meso1 B11 Cloud Phase [G16-ABI-MESO1-BAND11] The infrared 8.5 μm band is a window channel; there is little atmospheric absorption of energy in clear skies at this wavelength (unless SO2 from a volcanic eruption is present). However, knowledge of emissivity is... The infrared 8.5 μm band is a window channel; there is little atmospheric absorption of energy in clear skies at this wavelength (unless SO2 from a volcanic eruption is present). However, knowledge of emissivity is important in the interpretation of this Band: Differences in surface emissivity at 8.5 μm occur over different soil types, affecting the perceived brightness temperature. Water droplets also have different emissivity properties for 8.5μm radiation compared to other wavelengths. The 8.5μm band was not available on either the Legacy GOES Imager or GOES Sounder.
	GOES East ABI Meso1 B12 Ozone [G16-ABI-MESO1-BAND12] The 9.6 μm band gives information both day and night about the dynamics of the atmosphere near the tropopause. This band shows cooler temperatures than the clean window band because both ozone and water vapor... The 9.6 μm band gives information both day and night about the dynamics of the atmosphere near the tropopause. This band shows cooler temperatures than the clean window band because both ozone and water vapor absorb 9.6 μm atmospheric energy. The cooling effect is especially apparent at large zenith angles. This band alone cannot diagnose total column ozone: product generation using other bands will be necessary for that.
	GOES East ABI Meso1 B13 "Clean" Infrared [G16-ABI-MESO1-BAND13] The 10.3 μm “clean” infrared window band is less sensitive than other infrared window bands to water vapor absorption, and therefore improves atmospheric moisture corrections, aids in cloud and other atmospheric... The 10.3 μm “clean” infrared window band is less sensitive than other infrared window bands to water vapor absorption, and therefore improves atmospheric moisture corrections, aids in cloud and other atmospheric feature identification/classification, estimation of cloudtop brightness temperature and cloud particle size, and surface property characterization in derived products.
	GOES East ABI Meso1 B13 "Clean" Infrared enhanced [G16-ABI-MESO1-BAND13-GRAD] The 10.3 μm “clean” infrared window band is less sensitive than other infrared window bands to water vapor absorption, and therefore improves atmospheric moisture corrections, aids in cloud and other atmospheric... The 10.3 μm “clean” infrared window band is less sensitive than other infrared window bands to water vapor absorption, and therefore improves atmospheric moisture corrections, aids in cloud and other atmospheric feature identification/classification, estimation of cloudtop brightness temperature and cloud particle size, and surface property characterization in derived products.
	GOES East ABI Meso1 B14 Infrared [G16-ABI-MESO1-BAND14] The infrared 11.2 μm band is a window channel; however, there is absorption of energy by water vapor at this wavelength. Brightness Temperatures (BTs) are affected by this absorption, and 11.2 μm BTs will... The infrared 11.2 μm band is a window channel; however, there is absorption of energy by water vapor at this wavelength. Brightness Temperatures (BTs) are affected by this absorption, and 11.2 μm BTs will be cooler than clean window (10.3 μm) BTs – by an amount that is a function of the amount of moisture in the atmosphere. This band has similarities to the legacy infrared channel at 10.7μm.
	GOES East ABI Meso1 B15 "Dirty" Infrared [G16-ABI-MESO1-BAND15] Absorption and re-emission of water vapor, particularly in the lower troposphere, slightly cools most non-cloud brightness temperatures (BTs) in the 12.3 μm band compared to the other infrared window channels: the more... Absorption and re-emission of water vapor, particularly in the lower troposphere, slightly cools most non-cloud brightness temperatures (BTs) in the 12.3 μm band compared to the other infrared window channels: the more water vapor, the greater the BT difference. The 12.3 μm band and the 10.3 μm are used to compute the ‘split window difference’. The 10.3 μm “Clean Window” channel is a better choice than the “Dirty Window” (12.3μm) for the monitoring of simple atmospheric phenomena.
	GOES East ABI Meso1 B16 Carbon Dioxide [G16-ABI-MESO1-BAND16] Products derived using the infrared 13.3 μm “Carbon Dioxide” band can be used to delineate the tropopause, to estimate cloudtop heights, to discern the level of Derived Motion Winds, to supplement Automated Surface... Products derived using the infrared 13.3 μm “Carbon Dioxide” band can be used to delineate the tropopause, to estimate cloudtop heights, to discern the level of Derived Motion Winds, to supplement Automated Surface Observing System (ASOS) sky observations and to identify Volcanic Ash. The 13.3μm band is vital for Baseline Products; that is demonstrated by its presence on heritage GOES Imagers and Sounders. Despite its importance in products, the CO2 channel is typically not used for visual interpretation of weather events.

	G16-ABI-MESO2-airmass [G16-ABI-MESO2-airmass] G16-ABI-MESO2-airmass G16-ABI-MESO2-airmass
	G16-ABI-MESO2-ash [G16-ABI-MESO2-ash] G16-ABI-MESO2-ash G16-ABI-MESO2-ash
	G16-ABI-MESO2-cloud-phase [G16-ABI-MESO2-cloud-phase] G16-ABI-MESO2-cloud-phase G16-ABI-MESO2-cloud-phase
	G16-ABI-MESO2-convection [G16-ABI-MESO2-convection] G16-ABI-MESO2-convection G16-ABI-MESO2-convection
	G16-ABI-MESO2-day-microphysics-abi [G16-ABI-MESO2-day-microphysics-abi] G16-ABI-MESO2-day-microphysics-abi G16-ABI-MESO2-day-microphysics-abi
	G16-ABI-MESO2-dust [G16-ABI-MESO2-dust] G16-ABI-MESO2-dust G16-ABI-MESO2-dust
	G16-ABI-MESO2-fire-temperature-awips [G16-ABI-MESO2-fire-temperature-awips] G16-ABI-MESO2-fire-temperature-awips G16-ABI-MESO2-fire-temperature-awips
	G16-ABI-MESO2-fog [G16-ABI-MESO2-fog] G16-ABI-MESO2-fog G16-ABI-MESO2-fog
	G16-ABI-MESO2-geo-color [G16-ABI-MESO2-geo-color] G16-ABI-MESO2-geo-color G16-ABI-MESO2-geo-color
	G16-ABI-MESO2-ir-sandwich [G16-ABI-MESO2-ir-sandwich] G16-ABI-MESO2-ir-sandwich G16-ABI-MESO2-ir-sandwich
	G16-ABI-MESO2-night-microphysics [G16-ABI-MESO2-night-microphysics] G16-ABI-MESO2-night-microphysics G16-ABI-MESO2-night-microphysics
	G16-ABI-MESO2-snow-fog [G16-ABI-MESO2-snow-fog] G16-ABI-MESO2-snow-fog G16-ABI-MESO2-snow-fog
	G16-ABI-MESO2-so2 [G16-ABI-MESO2-so2] G16-ABI-MESO2-so2 G16-ABI-MESO2-so2
	G16-ABI-MESO2-true-color [G16-ABI-MESO2-true-color] View of G16-ABI-MESO2-geo-color View of G16-ABI-MESO2-geo-color
	G16-ABI-MESO2-water-vapors2 [G16-ABI-MESO2-water-vapors2] G16-ABI-MESO2-water-vapors2 G16-ABI-MESO2-water-vapors2
	GOES East ABI Meso2 B01 "Blue" Visible [G16-ABI-MESO2-BAND01] The 0.47 µm, or “Blue” visible band, is one of two visible bands on the ABI, and provides data for monitoring aerosols. Included on NASA’s MODIS and Suomi NPP VIIRS instruments, this band provides well-established... The 0.47 µm, or “Blue” visible band, is one of two visible bands on the ABI, and provides data for monitoring aerosols. Included on NASA’s MODIS and Suomi NPP VIIRS instruments, this band provides well-established benefits. The geostationary ABI 0.47 µm band will provide nearly continuous daytime observations of dust, haze, smoke and clouds. The 0.47 µm band is more sensitive to aerosols / dust / smoke because it samples a part of the electromagnetic spectrum where clear-sky atmospheric scattering is important.
	GOES East ABI Meso2 B02 Hi-Res "Red" Visible [G16-ABI-MESO2-BAND02] The ‘Red’ Visible band – 0.64 µm – has the finest spatial resolution (0.5 km at the subsatellite point) of all ABI bands. Thus it is ideal to identify small-scale features such as river fogs and fog/clear air... The ‘Red’ Visible band – 0.64 µm – has the finest spatial resolution (0.5 km at the subsatellite point) of all ABI bands. Thus it is ideal to identify small-scale features such as river fogs and fog/clear air boundaries, or overshooting tops or cumulus clouds. It has also been used to document daytime snow and ice cover, diagnose low-level cloud-drift winds, assist with detection of volcanic ash and analysis of hurricanes and winter storms. The ‘Red’ Visible band is also essential for creation of “true color” imagery.
	GOES East ABI Meso2 B03 "Veggie" [G16-ABI-MESO2-BAND03] The 0.86 μm band (a reflective band) detects daytime clouds, fog, and aerosols and is used to compute the normalized difference vegetation index (NDVI). Its nickname is the “veggie” or “vegetation” band. The 0.86... The 0.86 μm band (a reflective band) detects daytime clouds, fog, and aerosols and is used to compute the normalized difference vegetation index (NDVI). Its nickname is the “veggie” or “vegetation” band. The 0.86 μm band can detect burn scars and thereby show land characteristics to determine fire and run-off potential. Vegetated land, in general, shows up brighter in this band than in visible bands. Landwater contrast is also large in this band.
	GOES East ABI Meso2 B04 Cirrus [G16-ABI-MESO2-BAND04] The Cirrus Band (1.37 µm) is unique among the reflective bands on the ABI in that it occupies a region of very strong absorption by water vapor in the electromagnetic spectrum. It will detect very thin cirrus clouds during... The Cirrus Band (1.37 µm) is unique among the reflective bands on the ABI in that it occupies a region of very strong absorption by water vapor in the electromagnetic spectrum. It will detect very thin cirrus clouds during the day.
	GOES East ABI Meso2 B05 Snow/Ice [G16-ABI-MESO2-BAND05] The Snow/Ice band takes advantage of the difference between the refraction components of water and ice at 1.61 µm. Liquid water clouds are bright in this channel; ice clouds are darker because ice absorbs (rather than... The Snow/Ice band takes advantage of the difference between the refraction components of water and ice at 1.61 µm. Liquid water clouds are bright in this channel; ice clouds are darker because ice absorbs (rather than reflects) radiation at 1.61 µm. Thus you can infer cloud phase. Fires can also be detected at night using this band.
	GOES East ABI Meso2 B06 Cloud Particle Size [G16-ABI-MESO2-BAND06] IThe 2.24 μm band, in conjunction with other bands, enables cloud particle size estimation. Cloud particle size changes can indicate cloud development. The 2.24 μm band is also used with other bands to estimate... IThe 2.24 μm band, in conjunction with other bands, enables cloud particle size estimation. Cloud particle size changes can indicate cloud development. The 2.24 μm band is also used with other bands to estimate aerosol particle size (by characterizing the aerosol-free background over land), to create cloud masking and to detect hot spots.
	GOES East ABI Meso2 B07 "Fire" [G16-ABI-MESO2-BAND07] The 3.9 μm band can be used to identify fog and low clouds at night, identify fire hot spots, detect volcanic ash, estimate sea-surface temperatures, and discriminate between ice crystal sizes during the day.... The 3.9 μm band can be used to identify fog and low clouds at night, identify fire hot spots, detect volcanic ash, estimate sea-surface temperatures, and discriminate between ice crystal sizes during the day. Low-level atmospheric vector winds can be estimated with this band, and the band can be used to study urban heat islands. The 3.9 μm is unique among ABI bands because it senses both emitted terrestrial radiation as well as significant reflected solar radiation during the day.
	GOES East ABI Meso2 B08 Upper-level Water Vapor [G16-ABI-MESO2-BAND08] The 6.2 µm “Upper-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking upper-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm... The 6.2 µm “Upper-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking upper-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm motion, monitoring severe weather potential, estimating upper/ mid-level moisture (for legacy vertical moisture profiles) and identifying regions where the potential for turbulence exists. Further, it can be used to validate numerical model initialization and warming/cooling with time can reveal vertical motions at mid- and upper levels.
	GOES East ABI Meso2 B09 Mid-level Water Vapor [G16-ABI-MESO2-BAND09] The 6.9 µm “Mid-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking middle-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm... The 6.9 µm “Mid-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking middle-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm motion, monitoring severe weather potential, estimating mid-level moisture (for legacy vertical moisture profiles) and identifying regions where turbulence might exist. Surface features are usually not apparent in this band. Brightness Temperatures show cooling because of absorption of energy at 6.9µm by water vapor.
	GOES East ABI Meso2 B10 Lower-level Water Vapor [G16-ABI-MESO2-BAND10] The 7.3 µm “Lower-level water vapor” band is one of three water vapor bands on the ABI. It typically senses farthest down into the midtroposphere in cloud-free regions, to around 500-750 hPa. It is used to track... The 7.3 µm “Lower-level water vapor” band is one of three water vapor bands on the ABI. It typically senses farthest down into the midtroposphere in cloud-free regions, to around 500-750 hPa. It is used to track lowertropospheric winds, identify jet streaks, monitor severe weather potential, estimate lower-level moisture (for legacy vertical moisture profiles), identify regions where the potential for turbulence exists, highlight volcanic plumes that are rich in sulphur dioxide (SO2) and track LakeEffect snow bands.
	GOES East ABI Meso2 B11 Cloud Phase [G16-ABI-MESO2-BAND11] The infrared 8.5 μm band is a window channel; there is little atmospheric absorption of energy in clear skies at this wavelength (unless SO2 from a volcanic eruption is present). However, knowledge of emissivity is... The infrared 8.5 μm band is a window channel; there is little atmospheric absorption of energy in clear skies at this wavelength (unless SO2 from a volcanic eruption is present). However, knowledge of emissivity is important in the interpretation of this Band: Differences in surface emissivity at 8.5 μm occur over different soil types, affecting the perceived brightness temperature. Water droplets also have different emissivity properties for 8.5μm radiation compared to other wavelengths. The 8.5μm band was not available on either the Legacy GOES Imager or GOES Sounder.
	GOES East ABI Meso2 B12 Ozone [G16-ABI-MESO2-BAND12] The 9.6 μm band gives information both day and night about the dynamics of the atmosphere near the tropopause. This band shows cooler temperatures than the clean window band because both ozone and water vapor... The 9.6 μm band gives information both day and night about the dynamics of the atmosphere near the tropopause. This band shows cooler temperatures than the clean window band because both ozone and water vapor absorb 9.6 μm atmospheric energy. The cooling effect is especially apparent at large zenith angles. This band alone cannot diagnose total column ozone: product generation using other bands will be necessary for that.
	GOES East ABI Meso2 B13 "Clean" Infrared [G16-ABI-MESO2-BAND13] The 10.3 μm “clean” infrared window band is less sensitive than other infrared window bands to water vapor absorption, and therefore improves atmospheric moisture corrections, aids in cloud and other atmospheric... The 10.3 μm “clean” infrared window band is less sensitive than other infrared window bands to water vapor absorption, and therefore improves atmospheric moisture corrections, aids in cloud and other atmospheric feature identification/classification, estimation of cloudtop brightness temperature and cloud particle size, and surface property characterization in derived products.
	GOES East ABI Meso2 B13 "Clean" Infrared enhanced [G16-ABI-MESO2-BAND13-GRAD] The 10.3 μm “clean” infrared window band is less sensitive than other infrared window bands to water vapor absorption, and therefore improves atmospheric moisture corrections, aids in cloud and other atmospheric... The 10.3 μm “clean” infrared window band is less sensitive than other infrared window bands to water vapor absorption, and therefore improves atmospheric moisture corrections, aids in cloud and other atmospheric feature identification/classification, estimation of cloudtop brightness temperature and cloud particle size, and surface property characterization in derived products.
	GOES East ABI Meso2 B14 Infrared [G16-ABI-MESO2-BAND14] The infrared 11.2 μm band is a window channel; however, there is absorption of energy by water vapor at this wavelength. Brightness Temperatures (BTs) are affected by this absorption, and 11.2 μm BTs will... The infrared 11.2 μm band is a window channel; however, there is absorption of energy by water vapor at this wavelength. Brightness Temperatures (BTs) are affected by this absorption, and 11.2 μm BTs will be cooler than clean window (10.3 μm) BTs – by an amount that is a function of the amount of moisture in the atmosphere. This band has similarities to the legacy infrared channel at 10.7μm.
	GOES East ABI Meso2 B15 "Dirty" Infrared [G16-ABI-MESO2-BAND15] Absorption and re-emission of water vapor, particularly in the lower troposphere, slightly cools most non-cloud brightness temperatures (BTs) in the 12.3 μm band compared to the other infrared window channels: the more... Absorption and re-emission of water vapor, particularly in the lower troposphere, slightly cools most non-cloud brightness temperatures (BTs) in the 12.3 μm band compared to the other infrared window channels: the more water vapor, the greater the BT difference. The 12.3 μm band and the 10.3 μm are used to compute the ‘split window difference’. The 10.3 μm “Clean Window” channel is a better choice than the “Dirty Window” (12.3μm) for the monitoring of simple atmospheric phenomena.
	GOES East ABI Meso2 B16 Carbon Dioxide [G16-ABI-MESO2-BAND16] Products derived using the infrared 13.3 μm “Carbon Dioxide” band can be used to delineate the tropopause, to estimate cloudtop heights, to discern the level of Derived Motion Winds, to supplement Automated Surface... Products derived using the infrared 13.3 μm “Carbon Dioxide” band can be used to delineate the tropopause, to estimate cloudtop heights, to discern the level of Derived Motion Winds, to supplement Automated Surface Observing System (ASOS) sky observations and to identify Volcanic Ash. The 13.3μm band is vital for Baseline Products; that is demonstrated by its presence on heritage GOES Imagers and Sounders. Despite its importance in products, the CO2 channel is typically not used for visual interpretation of weather events.

	G18-ABI-CONUS-airmass [G18-ABI-CONUS-airmass] G18-ABI-CONUS-airmass G18-ABI-CONUS-airmass
	G18-ABI-CONUS-ash [G18-ABI-CONUS-ash] G18-ABI-CONUS-ash G18-ABI-CONUS-ash
	G18-ABI-CONUS-cloud-phase [G18-ABI-CONUS-cloud-phase] G18-ABI-CONUS-cloud-phase G18-ABI-CONUS-cloud-phase
	G18-ABI-CONUS-convection [G18-ABI-CONUS-convection] G18-ABI-CONUS-convection G18-ABI-CONUS-convection
	G18-ABI-CONUS-day-microphysics-abi [G18-ABI-CONUS-day-microphysics-abi] G18-ABI-CONUS-day-microphysics-abi G18-ABI-CONUS-day-microphysics-abi
	G18-ABI-CONUS-dust [G18-ABI-CONUS-dust] G18-ABI-CONUS-dust G18-ABI-CONUS-dust
	G18-ABI-CONUS-fire-temperature-awips [G18-ABI-CONUS-fire-temperature-awips] G18-ABI-CONUS-fire-temperature-awips G18-ABI-CONUS-fire-temperature-awips
	G18-ABI-CONUS-fog [G18-ABI-CONUS-fog] G18-ABI-CONUS-fog G18-ABI-CONUS-fog
	G18-ABI-CONUS-geo-color [G18-ABI-CONUS-geo-color] G18-ABI-CONUS-geo-color G18-ABI-CONUS-geo-color
	G18-ABI-CONUS-ir-sandwich [G18-ABI-CONUS-ir-sandwich] G18-ABI-CONUS-ir-sandwich G18-ABI-CONUS-ir-sandwich
	G18-ABI-CONUS-night-microphysics [G18-ABI-CONUS-night-microphysics] G18-ABI-CONUS-night-microphysics G18-ABI-CONUS-night-microphysics
	G18-ABI-CONUS-snow-fog [G18-ABI-CONUS-snow-fog] G18-ABI-CONUS-snow-fog G18-ABI-CONUS-snow-fog
	G18-ABI-CONUS-so2 [G18-ABI-CONUS-so2] G18-ABI-CONUS-so2 G18-ABI-CONUS-so2
	G18-ABI-CONUS-true-color [G18-ABI-CONUS-true-color] View of G18-ABI-CONUS-geo-color View of G18-ABI-CONUS-geo-color
	G18-ABI-CONUS-water-vapors2 [G18-ABI-CONUS-water-vapors2] G18-ABI-CONUS-water-vapors2 G18-ABI-CONUS-water-vapors2
	GOES West ABI ConUS B01 "Blue" Visible [G18-ABI-CONUS-BAND01] The 0.47µm, or “Blue” visible band, is one of two visible bands on the ABI, and provides data for monitoring aerosols. Included on NASA’s MODIS and Suomi NPP VIIRS instruments, this band provides well-established... The 0.47µm, or “Blue” visible band, is one of two visible bands on the ABI, and provides data for monitoring aerosols. Included on NASA’s MODIS and Suomi NPP VIIRS instruments, this band provides well-established benefits. The geostationary ABI 0.47 µm band will provide nearly continuous daytime observations of dust, haze, smoke and clouds. The 0.47 µm band is more sensitive to aerosols / dust /smoke because it samples a part of the electromagnetic spectrum where clear-sky atmospheric scattering is important
	GOES West ABI ConUS B02 Hi-Res "Red" Visible [G18-ABI-CONUS-BAND02] he ‘Red’ Visible band – 0.64 µm – has the finest spatial resolution (0.5 km at the subsatellite point) of all ABI bands. Thus it is ideal to identify small-scale features such as river fogs and fog/clear air... he ‘Red’ Visible band – 0.64 µm – has the finest spatial resolution (0.5 km at the subsatellite point) of all ABI bands. Thus it is ideal to identify small-scale features such as river fogs and fog/clear air boundaries, or overshooting tops or cumulus clouds. It has also been used to document daytime snow and ice cover, diagnose low-level cloud-drift winds, assist with detection of volcanic ash and analysis of hurricanes and winter storms. The ‘Red’ Visible band is also essential for creation of “true color” imagery.
	GOES West ABI ConUS B03 "Veggie" [G18-ABI-CONUS-BAND03] The 0.86 μm band (a reflective band) detects daytime clouds, fog, and aerosols and is used to compute the normalized difference vegetation index (NDVI). Its nickname is the “veggie” or “vegetation” band. The 0.86... The 0.86 μm band (a reflective band) detects daytime clouds, fog, and aerosols and is used to compute the normalized difference vegetation index (NDVI). Its nickname is the “veggie” or “vegetation” band. The 0.86 μm band can detect burn scars and thereby show land characteristics to determine fire and run-off potential. Vegetated land, in general, shows up brighter in this band than in visible bands. Landwater contrast is also large in this band.
	GOES West ABI ConUS B04 Cirrus [G18-ABI-CONUS-BAND04] The Cirrus Band (1.37 µm) is unique among the reflective bands on the ABI in that it occupies a region of very strong absorption by water vapor in the electromagnetic spectrum. It will detect very thin cirrus clouds during... The Cirrus Band (1.37 µm) is unique among the reflective bands on the ABI in that it occupies a region of very strong absorption by water vapor in the electromagnetic spectrum. It will detect very thin cirrus clouds during the day.
	GOES West ABI ConUS B05 Snow/Ice [G18-ABI-CONUS-BAND05] The Snow/Ice band takes advantage of the difference between the refraction components of water and ice at 1.61 µm. Liquid water clouds are bright in this channel; ice clouds are darker because ice absorbs (rather than... The Snow/Ice band takes advantage of the difference between the refraction components of water and ice at 1.61 µm. Liquid water clouds are bright in this channel; ice clouds are darker because ice absorbs (rather than reflects) radiation at 1.61 µm. Thus you can infer cloud phase. Fires can also be detected at night using this band.
	GOES West ABI ConUS B06 Cloud Particle Size [G18-ABI-CONUS-BAND06] The 2.24 μm band, in conjunction with other bands, enables cloud particle size estimation. Cloud particle size changes can indicate cloud development. The 2.24 μm band is also used with other bands to estimate... The 2.24 μm band, in conjunction with other bands, enables cloud particle size estimation. Cloud particle size changes can indicate cloud development. The 2.24 μm band is also used with other bands to estimate aerosol particle size (by characterizing the aerosol-free background over land), to create cloud masking and to detect hot spots.
	GOES West ABI ConUS B07 "Fire" [G18-ABI-CONUS-BAND07] The 3.9 μm band can be used to identify fog and low clouds at night, identify fire hot spots, detect volcanic ash, estimate sea-surface temperatures, and discriminate between ice crystal sizes during the day.... The 3.9 μm band can be used to identify fog and low clouds at night, identify fire hot spots, detect volcanic ash, estimate sea-surface temperatures, and discriminate between ice crystal sizes during the day. Low-level atmospheric vector winds can be estimated with this band, and the band can be used to study urban heat islands. The 3.9 μm is unique among ABI bands because it senses both emitted terrestrial radiation as well as significant reflected solar radiation during the day.
	GOES West ABI ConUS B07 "Fire" enhanced [G18-ABI-CONUS-BAND07-FIRE] The 3.9 μm band can be used to identify fog and low clouds at night, identify fire hot spots, detect volcanic ash, estimate sea-surface temperatures, and discriminate between ice crystal sizes during the day.... The 3.9 μm band can be used to identify fog and low clouds at night, identify fire hot spots, detect volcanic ash, estimate sea-surface temperatures, and discriminate between ice crystal sizes during the day. Low-level atmospheric vector winds can be estimated with this band, and the band can be used to study urban heat islands. The 3.9 μm is unique among ABI bands because it senses both emitted terrestrial radiation as well as significant reflected solar radiation during the day.
	GOES West ABI ConUS B08 Upper-level Water Vapor [G18-ABI-CONUS-BAND08] http://cimss.ssec.wisc.edu/goes/OCLOFactSheetPDFs/ABIQuickGuide_Band08.pdfThe 6.2 µm “Upper-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking upper-tropospheric winds,... http://cimss.ssec.wisc.edu/goes/OCLOFactSheetPDFs/ABIQuickGuide_Band08.pdfThe 6.2 µm “Upper-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking upper-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm motion, monitoring.
	GOES West ABI ConUS B08 Upper-level Water Vapor enhanced [G18-ABI-CONUS-BAND08-VAPR] The 6.2 µm “Upper-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking upper-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm... The 6.2 µm “Upper-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking upper-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm motion, monitoring.
	GOES West ABI ConUS B09 Mid-level Water Vapor [G18-ABI-CONUS-BAND09] The 6.9 µm “Mid-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking middle-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm... The 6.9 µm “Mid-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking middle-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm motion, monitoring severe weather potential, estimating mid-level moisture (for legacy vertical moisture profiles) and identifying regions where turbulence might exist. Surface features are usually not apparent in this band. Brightness Temperatures show cooling because of absorption of energy at 6.9 µm by water vapor.
	GOES West ABI ConUS B09 Mid-level Water Vapor enhanced [G18-ABI-CONUS-BAND09-VAPR] The 6.9 µm “Mid-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking middle-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm... The 6.9 µm “Mid-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking middle-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm motion, monitoring severe weather potential, estimating mid-level moisture (for legacy vertical moisture profiles) and identifying regions where turbulence might exist. Surface features are usually not apparent in this band. Brightness Temperatures show cooling because of absorption of energy at 6.9 µm by water vapor.
	GOES West ABI ConUS B10 Lower-level Water Vapor [G18-ABI-CONUS-BAND10] The 7.3 µm “Lower-level water vapor” band is one of three water vapor bands on the ABI. It typically senses farthest down into the midtroposphere in cloud-free regions, to around 500-750 hPa. It is used to track... The 7.3 µm “Lower-level water vapor” band is one of three water vapor bands on the ABI. It typically senses farthest down into the midtroposphere in cloud-free regions, to around 500-750 hPa. It is used to track lowertropospheric winds, identify jet streaks, monitor severe weather potential, estimate lower-level moisture (for legacy vertical moisture profiles), identify regions where the potential for turbulence exists, highlight volcanic plumes that are rich in sulphur dioxide (SO2) and track LakeEffect snow bands.
	GOES West ABI ConUS B10 Lower-level Water Vapor enhanced [G18-ABI-CONUS-BAND10-VAPR] The 7.3 µm “Lower-level water vapor” band is one of three water vapor bands on the ABI. It typically senses farthest down into the midtroposphere in cloud-free regions, to around 500-750 hPa. It is used to track... The 7.3 µm “Lower-level water vapor” band is one of three water vapor bands on the ABI. It typically senses farthest down into the midtroposphere in cloud-free regions, to around 500-750 hPa. It is used to track lowertropospheric winds, identify jet streaks, monitor severe weather potential, estimate lower-level moisture (for legacy vertical moisture profiles), identify regions where the potential for turbulence exists, highlight volcanic plumes that are rich in sulphur dioxide (SO2) and track LakeEffect snow bands.
	GOES West ABI ConUS B11 Cloud Phase [G18-ABI-CONUS-BAND11] he infrared 8.5 μm band is a window channel; there is little atmospheric absorption of energy in clear skies at this wavelength (unless SO2 from a volcanic eruption is present). However, knowledge of emissivity is... he infrared 8.5 μm band is a window channel; there is little atmospheric absorption of energy in clear skies at this wavelength (unless SO2 from a volcanic eruption is present). However, knowledge of emissivity is important in the interpretation of this Band: Differences in surface emissivity at 8.5 μm occur over different soil types, affecting the perceived brightness temperature. Water droplets also have different emissivity properties for 8.5 μm radiation compared to other wavelengths. The 8.5 μm band was not available on either the Legacy GOES Imager or GOES Sounder.
	GOES West ABI ConUS B12 Ozone [G18-ABI-CONUS-BAND12] The 9.6 μm band gives information both day and night about the dynamics of the atmosphere near the tropopause. This band shows cooler temperatures than the clean window band because both ozone and water vapor... The 9.6 μm band gives information both day and night about the dynamics of the atmosphere near the tropopause. This band shows cooler temperatures than the clean window band because both ozone and water vapor absorb 9.6 μm atmospheric energy. The cooling effect is especially apparent at large zenith angles. This band alone cannot diagnose total column ozone: product generation using other bands will be necessary for that.
	GOES West ABI ConUS B13 "Clean" Infrared [G18-ABI-CONUS-BAND13] The 10.3 μm “clean” infrared window band is less sensitive than other infrared window bands to water vapor absorption, and therefore improves atmospheric moisture corrections, aids in cloud and other atmospheric... The 10.3 μm “clean” infrared window band is less sensitive than other infrared window bands to water vapor absorption, and therefore improves atmospheric moisture corrections, aids in cloud and other atmospheric feature identification/classification, estimation of cloudtop brightness temperature and cloud particle size, and surface property characterization in derived products.
	GOES West ABI ConUS B13 "Clean" Infrared enhanced [G18-ABI-CONUS-BAND13-GRAD] The 10.3 μm “clean” infrared window band is less sensitive than other infrared window bands to water vapor absorption, and therefore improves atmospheric moisture corrections, aids in cloud and other atmospheric... The 10.3 μm “clean” infrared window band is less sensitive than other infrared window bands to water vapor absorption, and therefore improves atmospheric moisture corrections, aids in cloud and other atmospheric feature identification/classification, estimation of cloudtop brightness temperature and cloud particle size, and surface property characterization in derived products.
	GOES West ABI ConUS B14 Infrared [G18-ABI-CONUS-BAND14] http://cimss.ssec.wisc.edu/goes/OCLOFactSheetPDFs/ABIQuickGuide_Band14.pdfThe infrared 11.2 μm band is a window channel; however, there is absorption of energy by water vapor at this wavelength. Brightness Temperatures (BTs)... http://cimss.ssec.wisc.edu/goes/OCLOFactSheetPDFs/ABIQuickGuide_Band14.pdfThe infrared 11.2 μm band is a window channel; however, there is absorption of energy by water vapor at this wavelength. Brightness Temperatures (BTs) are affected by this absorption, and 11.2 μm BTs will be cooler than clean window (10.3 μm) BTs – by an amount that is a function of the amount of moisture in the atmosphere. This band has similarities to the legacy infrared channel at 10.7 μm.
	GOES West ABI ConUS B15 "Dirty" Infrared [G18-ABI-CONUS-BAND15] Absorption and re-emission of water vapor, particularly in the lower troposphere, slightly cools most non-cloud brightness temperatures (BTs) in the 12.3 μm band compared to the other infrared window channels: the more... Absorption and re-emission of water vapor, particularly in the lower troposphere, slightly cools most non-cloud brightness temperatures (BTs) in the 12.3 μm band compared to the other infrared window channels: the more water vapor, the greater the BT difference. The 12.3 μm band and the 10.3 μm are used to compute the ‘split window difference’. The 10.3 μm “Clean Window” channel is a better choice than the “Dirty Window” (12.3 μm) for the monitoring of simple atmospheric phenomena.
	GOES West ABI ConUS B16 Carbon Dioxide [G18-ABI-CONUS-BAND16] Products derived using the infrared 13.3 μm “Carbon Dioxide” band can be used to delineate the tropopause, to estimate cloudtop heights, to discern the level of Derived Motion Winds, to supplement Automated Surface... Products derived using the infrared 13.3 μm “Carbon Dioxide” band can be used to delineate the tropopause, to estimate cloudtop heights, to discern the level of Derived Motion Winds, to supplement Automated Surface Observing System (ASOS) sky observations and to identify Volcanic Ash. The 13.3 μm band is vital for Baseline Products; that is demonstrated by its presence on heritage GOES Imagers and Sounders. Despite its importance in products, the CO2 channel is typically not used for visual interpretation of weather events.

	G18-ABI-FD-airmass [G18-ABI-FD-airmass] G18-ABI-FD-airmass G18-ABI-FD-airmass
	G18-ABI-FD-ash [G18-ABI-FD-ash] G18-ABI-FD-ash G18-ABI-FD-ash
	G18-ABI-FD-cloud-phase [G18-ABI-FD-cloud-phase] G18-ABI-FD-cloud-phase G18-ABI-FD-cloud-phase
	G18-ABI-FD-convection [G18-ABI-FD-convection] G18-ABI-FD-convection G18-ABI-FD-convection
	G18-ABI-FD-day-microphysics-abi [G18-ABI-FD-day-microphysics-abi] G18-ABI-FD-day-microphysics-abi G18-ABI-FD-day-microphysics-abi
	G18-ABI-FD-dust [G18-ABI-FD-dust] G18-ABI-FD-dust G18-ABI-FD-dust
	G18-ABI-FD-fire-temperature-awips [G18-ABI-FD-fire-temperature-awips] G18-ABI-FD-fire-temperature-awips G18-ABI-FD-fire-temperature-awips
	G18-ABI-FD-fog [G18-ABI-FD-fog] G18-ABI-FD-fog G18-ABI-FD-fog
	G18-ABI-FD-geo-color [G18-ABI-FD-geo-color] G18-ABI-FD-geo-color G18-ABI-FD-geo-color
	G18-ABI-FD-ir-sandwich [G18-ABI-FD-ir-sandwich] G18-ABI-FD-ir-sandwich G18-ABI-FD-ir-sandwich
	G18-ABI-FD-night-microphysics [G18-ABI-FD-night-microphysics] G18-ABI-FD-night-microphysics G18-ABI-FD-night-microphysics
	G18-ABI-FD-snow-fog [G18-ABI-FD-snow-fog] G18-ABI-FD-snow-fog G18-ABI-FD-snow-fog
	G18-ABI-FD-so2 [G18-ABI-FD-so2] G18-ABI-FD-so2 G18-ABI-FD-so2
	G18-ABI-FD-true-color [G18-ABI-FD-true-color] View of G18-ABI-FD-geo-color View of G18-ABI-FD-geo-color
	G18-ABI-FD-water-vapors2 [G18-ABI-FD-water-vapors2] G18-ABI-FD-water-vapors2 G18-ABI-FD-water-vapors2
	GOES West ABI ConUS B13 "Clean" Infrared enhanced [G18-ABI-FD-BAND13-GRAD] The 10.3 μm “clean” infrared window band is less sensitive than other infrared window bands to water vapor absorption, and therefore improves atmospheric moisture corrections, aids in cloud and other atmospheric... The 10.3 μm “clean” infrared window band is less sensitive than other infrared window bands to water vapor absorption, and therefore improves atmospheric moisture corrections, aids in cloud and other atmospheric feature identification/classification, estimation of cloudtop brightness temperature and cloud particle size, and surface property characterization in derived products.
	GOES West ABI Full Disk B01 "Blue" Visible [G18-ABI-FD-BAND01] The 0.47µm, or “Blue” visible band, is one of two visible bands on the ABI, and provides data for monitoring aerosols. Included on NASA’s MODIS and Suomi NPP VIIRS instruments, this band provides well-established... The 0.47µm, or “Blue” visible band, is one of two visible bands on the ABI, and provides data for monitoring aerosols. Included on NASA’s MODIS and Suomi NPP VIIRS instruments, this band provides well-established benefits. The geostationary ABI 0.47µm band will provide nearly continuous daytime observations of dust, haze, smoke and clouds. The 0.47µm band is more sensitive to aerosols / dust /smoke because it samples a part of the electromagnetic spectrum where clear-sky atmospheric scattering is important.
	GOES West ABI Full Disk B02 Hi-Res "Red" Visible [G18-ABI-FD-BAND02] he ‘Red’ Visible band – 0.64 µm – has the finest spatial resolution (0.5 km at the subsatellite point) of all ABI bands. Thus it is ideal to identify small-scale features such as river fogs and fog/clear air... he ‘Red’ Visible band – 0.64 µm – has the finest spatial resolution (0.5 km at the subsatellite point) of all ABI bands. Thus it is ideal to identify small-scale features such as river fogs and fog/clear air boundaries, or overshooting tops or cumulus clouds. It has also been used to document daytime snow and ice cover, diagnose low-level cloud-drift winds, assist with detection of volcanic ash and analysis of hurricanes and winter storms. The ‘Red’ Visible band is also essential for creation of “true color” imagery.
	GOES West ABI Full Disk B03 "Veggie" [G18-ABI-FD-BAND03] The 0.86 μm band (a reflective band) detects daytime clouds, fog, and aerosols and is used to compute the normalized difference vegetation index (NDVI). Its nickname is the “veggie” or “vegetation” band. The 0.86... The 0.86 μm band (a reflective band) detects daytime clouds, fog, and aerosols and is used to compute the normalized difference vegetation index (NDVI). Its nickname is the “veggie” or “vegetation” band. The 0.86 μm band can detect burn scars and thereby show land characteristics to determine fire and run-off potential. Vegetated land, in general, shows up brighter in this band than in visible bands. Landwater contrast is also large in this band.
	GOES West ABI Full Disk B04 Cirrus [G18-ABI-FD-BAND04] The Cirrus Band (1.37 µm) is unique among the reflective bands on the ABI in that it occupies a region of very strong absorption by water vapor in the electromagnetic spectrum. It will detect very thin cirrus clouds during... The Cirrus Band (1.37 µm) is unique among the reflective bands on the ABI in that it occupies a region of very strong absorption by water vapor in the electromagnetic spectrum. It will detect very thin cirrus clouds during the day.
	GOES West ABI Full Disk B05 Snow/Ice [G18-ABI-FD-BAND05] The Snow/Ice band takes advantage of the difference between the refraction components of water and ice at 1.61 µm. Liquid water clouds are bright in this channel; ice clouds are darker because ice absorbs (rather than... The Snow/Ice band takes advantage of the difference between the refraction components of water and ice at 1.61 µm. Liquid water clouds are bright in this channel; ice clouds are darker because ice absorbs (rather than reflects) radiation at 1.61 µm. Thus you can infer cloud phase. Fires can also be detected at night using this band.
	GOES West ABI Full Disk B06 Cloud Particle Size [G18-ABI-FD-BAND06] The 2.24 μm band, in conjunction with other bands, enables cloud particle size estimation. Cloud particle size changes can indicate cloud development. The 2.24 μm band is also used with other bands to estimate... The 2.24 μm band, in conjunction with other bands, enables cloud particle size estimation. Cloud particle size changes can indicate cloud development. The 2.24 μm band is also used with other bands to estimate aerosol particle size (by characterizing the aerosol-free background over land), to create cloud masking and to detect hot spots.
	GOES West ABI Full Disk B07 "Fire" [G18-ABI-FD-BAND07] The 3.9 μm band can be used to identify fog and low clouds at night, identify fire hot spots, detect volcanic ash, estimate sea-surface temperatures, and discriminate between ice crystal sizes during the day.... The 3.9 μm band can be used to identify fog and low clouds at night, identify fire hot spots, detect volcanic ash, estimate sea-surface temperatures, and discriminate between ice crystal sizes during the day. Low-level atmospheric vector winds can be estimated with this band, and the band can be used to study urban heat islands. The 3.9 μm is unique among ABI bands because it senses both emitted terrestrial radiation as well assignificant reflected solar radiation during the day.
	GOES West ABI Full Disk B08 Upper-level Water Vapor [G18-ABI-FD-BAND08] The 6.2 µm “Upper-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking upper-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm... The 6.2 µm “Upper-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking upper-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm motion, monitoring.
	GOES West ABI Full Disk B09 Mid-level Water Vapor [G18-ABI-FD-BAND09] The 6.9 µm “Mid-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking middle-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm... The 6.9 µm “Mid-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking middle-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm motion, monitoring severe weather potential, estimating mid-level moisture (for legacy vertical moisture profiles) and identifying regions where turbulence might exist. Surface features are usually not apparent in this band. Brightness Temperatures show cooling because of absorption of energy at 6.9 µm by water vapor.
	GOES West ABI Full Disk B10 Lower-level Water Vapor [G18-ABI-FD-BAND10] The 7.3 µm “Lower-level water vapor” band is one of three water vapor bands on the ABI. It typically senses farthest down into the midtroposphere in cloud-free regions, to around 500-750 hPa. It is used to track... The 7.3 µm “Lower-level water vapor” band is one of three water vapor bands on the ABI. It typically senses farthest down into the midtroposphere in cloud-free regions, to around 500-750 hPa. It is used to track lowertropospheric winds, identify jet streaks, monitor severe weather potential, estimate lower-level moisture (for legacy vertical moisture profiles),identify regions where the potential forturbulence exists, highlight volcanic plumes that are rich in sulphur dioxide (SO2) and track LakeEffect snow bands.
	GOES West ABI Full Disk B11 Cloud Phase [G18-ABI-FD-BAND11] he infrared 8.5 μm band is a window channel; there is little atmospheric absorption of energy in clear skies at this wavelength (unless SO2 from a volcanic eruption is present). However, knowledge of emissivity is... he infrared 8.5 μm band is a window channel; there is little atmospheric absorption of energy in clear skies at this wavelength (unless SO2 from a volcanic eruption is present). However, knowledge of emissivity is important in the interpretation of this Band: Differences in surface emissivity at 8.5 μm occur over different soil types, affecting the perceived brightness temperature. Water droplets also have different emissivity properties for 8.5 μm radiation compared to other wavelengths. The 8.5 μm band was not available on either the Legacy GOES Imager or GOES Sounder.
	GOES West ABI Full Disk B12 Ozone [G18-ABI-FD-BAND12] The 9.6 μm band gives information both day and night about the dynamics of the atmosphere near the tropopause. This band shows cooler temperatures than the clean window band because both ozone and water vapor... The 9.6 μm band gives information both day and night about the dynamics of the atmosphere near the tropopause. This band shows cooler temperatures than the clean window band because both ozone and water vapor absorb 9.6 μm atmospheric energy. The cooling effect is especially apparent at large zenith angles. This band alone cannot diagnose total column ozone: product generation using other bands will be necessary for that.
	GOES West ABI Full Disk B13 "Clean" Infrared [G18-ABI-FD-BAND13] The 10.3 μm “clean” infrared window band is less sensitive than other infrared window bands to water vapor absorption, and therefore improves atmospheric moisture corrections, aids in cloud and other atmospheric... The 10.3 μm “clean” infrared window band is less sensitive than other infrared window bands to water vapor absorption, and therefore improves atmospheric moisture corrections, aids in cloud and other atmospheric feature identification/classification, estimation of cloudtop brightness temperature and cloud particle size, and surface property characterization in derived products.
	GOES West ABI Full Disk B14 Infrared [G18-ABI-FD-BAND14] The infrared 11.2 μm band is a window channel; however, there is absorption of energy by water vapor at this wavelength. Brightness Temperatures (BTs) are affected by this absorption, and 11.2 μm BTs will... The infrared 11.2 μm band is a window channel; however, there is absorption of energy by water vapor at this wavelength. Brightness Temperatures (BTs) are affected by this absorption, and 11.2 μm BTs will be cooler than clean window (10.3 μm) BTs – by an amount that is a function of the amount of moisture in the atmosphere. This band has similarities to the legacy infrared channel at 10.7 μm.
	GOES West ABI Full Disk B15 "Dirty" Infrared [G18-ABI-FD-BAND15] Absorption and re-emission of water vapor, particularly in the lower troposphere, slightly cools most non-cloud brightness temperatures (BTs) in the 12.3 μm band compared to the other infrared window channels: the more... Absorption and re-emission of water vapor, particularly in the lower troposphere, slightly cools most non-cloud brightness temperatures (BTs) in the 12.3 μm band compared to the other infrared window channels: the more water vapor, the greater the BT difference. The 12.3 μm band and the 10.3 μm are used to compute the ‘split window difference’. The 10.3 μm “Clean Window” channel is a better choice than the “Dirty Window” (12.3 μm) for the monitoring of simple atmospheric phenomena.
	GOES West ABI Full Disk B16 Carbon Dioxide [G18-ABI-FD-BAND16] Products derived using the infrared 13.3 μm “Carbon Dioxide” band can be used to delineate the tropopause, to estimate cloudtop heights, to discern the level of Derived Motion Winds, to supplement Automated Surface... Products derived using the infrared 13.3 μm “Carbon Dioxide” band can be used to delineate the tropopause, to estimate cloudtop heights, to discern the level of Derived Motion Winds, to supplement Automated Surface Observing System (ASOS) sky observations and to identify Volcanic Ash. The 13.3 μm band is vital for Baseline Products; that is demonstrated by its presence on heritage GOES Imagers and Sounders. Despite its importance in products, the CO2 channel is typically not used for visual interpretation of weather events.

Collection:
	734 products in 60 categories

	Global Infrared [globalir] This product is a global composite of imagery from multiple satellites. It is completed every hour (at about 35-minutes after the hour UTC) by the SSEC Data Center with the best available imagery. While it shows the most... This product is a global composite of imagery from multiple satellites. It is completed every hour (at about 35-minutes after the hour UTC) by the SSEC Data Center with the best available imagery. While it shows the most current imagery, shifting occurs along composite seams.
	Global Infrared - Aviation [globalir-avn] This product is an enhanced view of the global infrared composite product. It is completed every hour (at about 35-minutes after the hour UTC) by the SSEC Data Center with the best available imagery. While it shows the most... This product is an enhanced view of the global infrared composite product. It is completed every hour (at about 35-minutes after the hour UTC) by the SSEC Data Center with the best available imagery. While it shows the most current imagery, shifting occurs along composite seams.
	Global Infrared - Dvorak [globalir-bd] This product is an enhanced view of the global infrared composite product. It is completed every hour (at about 35-minutes after the hour UTC) by the SSEC Data Center with the best available imagery. While it shows the most... This product is an enhanced view of the global infrared composite product. It is completed every hour (at about 35-minutes after the hour UTC) by the SSEC Data Center with the best available imagery. While it shows the most current imagery, shifting occurs along composite seams.
	Global Infrared - Funk Top [globalir-funk] This product is an enhanced view of the global infrared composite product. It is completed every hour (at about 35-minutes after the hour UTC) by the SSEC Data Center with the best available imagery. While it shows the most... This product is an enhanced view of the global infrared composite product. It is completed every hour (at about 35-minutes after the hour UTC) by the SSEC Data Center with the best available imagery. While it shows the most current imagery, shifting occurs along composite seams.
	Global Infrared - Rainbow [globalir-nhc] This product is an enhanced view of the global infrared composite product. It is completed every hour (at about 35-minutes after the hour UTC) by the SSEC Data Center with the best available imagery. While it shows the most... This product is an enhanced view of the global infrared composite product. It is completed every hour (at about 35-minutes after the hour UTC) by the SSEC Data Center with the best available imagery. While it shows the most current imagery, shifting occurs along composite seams.
	Global Infrared - Rain Rate [globalir-rr] This product is based on a statistical relationship between cloud top temperature and observed rain rate. It is derived every hour (at about 35-minutes after the hour UTC) using the global IR composite produced by... This product is based on a statistical relationship between cloud top temperature and observed rain rate. It is derived every hour (at about 35-minutes after the hour UTC) using the global IR composite produced by the SSEC Data Center. While it shows the most current imagery, shifting occurs along composite seams.
	Global Infrared - Tops [globalir-ott] This product is an enhanced view of the global infrared composite product. It is completed every hour (at about 35-minutes after the hour UTC) by the SSEC Data Center with the best available imagery. While it shows the most... This product is an enhanced view of the global infrared composite product. It is completed every hour (at about 35-minutes after the hour UTC) by the SSEC Data Center with the best available imagery. While it shows the most current imagery, shifting occurs along composite seams.
	Global Visible [globalvis] This product is a global composite of imagery from multiple satellites. It is completed every hour (at about 35-minutes after the hour UTC) by the SSEC Data Center with the best available imagery. While it shows the most... This product is a global composite of imagery from multiple satellites. It is completed every hour (at about 35-minutes after the hour UTC) by the SSEC Data Center with the best available imagery. While it shows the most current imagery, shifting occurs along composite seams.
	Global Visible (transparent Night) [globalvis-tsp] This view is based on the global Visible composite product in which night time regions are rendered transparent. It is completed every hour (at about 35-minutes after the hour UTC) by the SSEC Data Center with the best... This view is based on the global Visible composite product in which night time regions are rendered transparent. It is completed every hour (at about 35-minutes after the hour UTC) by the SSEC Data Center with the best available imagery. While it shows the most current imagery, shifting occurs along composite seams.
	Global Visible - fill [global1kmvis] This product is a 15-minute snapshot of a global composite of imagery from multiple satellites. It is completed every hour (at about 35-minutes after the hour UTC) by the SSEC Data Center with the best available imagery.... This product is a 15-minute snapshot of a global composite of imagery from multiple satellites. It is completed every hour (at about 35-minutes after the hour UTC) by the SSEC Data Center with the best available imagery. While it shows the most current imagery, shifting occurs along composite seams.
	Global Visible - full [global1kmvisfull]
	Global Water Vapor [globalwv] This product is a global composite of imagery from multiple satellites. It is completed every hour (at about 35-minutes after the hour UTC) by the SSEC Data Center with the best available imagery. While it shows the most... This product is a global composite of imagery from multiple satellites. It is completed every hour (at about 35-minutes after the hour UTC) by the SSEC Data Center with the best available imagery. While it shows the most current imagery, shifting occurs along composite seams.
	Global Water Vapor - Gradient [globalwv-grad] This product is an enhanced view of the global Water Vapor composite product. It is completed every hour (at about 35-minutes after the hour UTC) by the SSEC Data Center with the best available imagery. While it... This product is an enhanced view of the global Water Vapor composite product. It is completed every hour (at about 35-minutes after the hour UTC) by the SSEC Data Center with the best available imagery. While it shows the most current imagery, shifting occurs along composite seams.

	Great Lakes Ice Type Classification (ICECON) [GLERL-ICE] Ice formations can be an obstacle for U.S. Coast Guard, commercial, and fishing boats. In order to understand ice formations and types of ice in the Great Lakes, Synthetic Aperture Radar (SAR) data from the NOAA... Ice formations can be an obstacle for U.S. Coast Guard, commercial, and fishing boats. In order to understand ice formations and types of ice in the Great Lakes, Synthetic Aperture Radar (SAR) data from the NOAA CoastWatch Great Lakes Node is used to monitor six different types of ice, ice thickness, and ice cover. This risk assessment tool is known as the Ice Condition Index (ICECON). The categories are as follows: 0 - Blue - Calm Water 1 - Green - New Lake Ice 2 - Yellow - Pancake Ice 3-4 - Orange - Consolidated Flows - Snow/SnowIce/LakeIce 5 - Red - Brash
	Great Lakes Surface Environmental Analysis [GLERL-GLSEAimage] Great Lakes Surface Environmental Analysis (GLSEA) from GLERL. For more info see: http://coastwatch.glerl.noaa.gov/glsea/doc Great Lakes Surface Environmental Analysis (GLSEA) from GLERL. For more info see: http://coastwatch.glerl.noaa.gov/glsea/doc
	WI Coastal Imagery [WICoast] WI Coastal Imagery displays aerial photographs of the Lake Michigan coast of Wisconsin from 2007. The images are being used to monitor cladophora algae growth. WI Coastal Imagery displays aerial photographs of the Lake Michigan coast of Wisconsin from 2007. The images are being used to monitor cladophora algae growth.
	WI Coastal Shaded Relief [WIcoastalshdrlf] WI coastal shaded relief map generated from LiDAR data. WI coastal shaded relief map generated from LiDAR data.

	Infrared 6 inch Imagery of Madison [madisonir] Infrared 6 inch Imagery of Madison Infrared 6 inch Imagery of Madison
	NAIP WI [NAIPWI] National Agricultural Imagery Program aerial photography from the Wisconsin Farm Service Agency (WI-FSA) of the USDA. National Agricultural Imagery Program aerial photography from the Wisconsin Farm Service Agency (WI-FSA) of the USDA.
	NAIP WI Color Infrared [NAIPWICIR] National Agricultural Imagery Program aerial photography from the Wisconsin Farm Service Agency (WI-FSA) of the USDA (Color Infrared) National Agricultural Imagery Program aerial photography from the Wisconsin Farm Service Agency (WI-FSA) of the USDA (Color Infrared)
	WI Coastal LiDAR [WIcoastallidar] WI Coastal LiDAR WI Coastal LiDAR
	WI Coastal Shaded Relief [WIcoastalshdrlf] WI coastal shaded relief map generated from LiDAR data. WI coastal shaded relief map generated from LiDAR data.
	Wisconsin LIDAR Hillshade [wi-hillshade] WisconsinView is a remote sensing consortium and member of AmericaView.org. These Wisconsin lidar data sets were collected by aircraft and processed by state and county agencies. These data are hosted by WisconsinView and... WisconsinView is a remote sensing consortium and member of AmericaView.org. These Wisconsin lidar data sets were collected by aircraft and processed by state and county agencies. These data are hosted by WisconsinView and visualized here with coordination and funding from the WI State Dept. of Administration, Geographic Information Office and NOAA"s coastal management program.
	WI USGS Landsat Poster [wilandsat] This is a georeferenced poster from the USGS. The original source is: http://eros.usgs.gov/imagegallery/landsat-state-mosaics unfortunately the original poster imagery without graphics burned-in is not available. This is a georeferenced poster from the USGS. The original source is: http://eros.usgs.gov/imagegallery/landsat-state-mosaics unfortunately the original poster imagery without graphics burned-in is not available.

	G18 Aerosol Optical Depth (DQF=0) [G18-L2-AOD-DQF0]
	GOES West FLS Cloud Thickness [G18-L2-FLS-Thickness] Cloud thickness: Estimate of the geometric thickness (cloud top - cloud base) of a single layer liquid water stratus cloud. Cloud thickness: Estimate of the geometric thickness (cloud top - cloud base) of a single layer liquid water stratus cloud.
	GOES West FLS IFR Fog Probability [G18-L2-FLS-IFR] IFR probability: Probability that IFR (or lower) flight rule category is present for a given GOES satellite pixel determined by fusing satellite and NWP model data using a naive Bayesian probabilistic model and classifier. IFR probability: Probability that IFR (or lower) flight rule category is present for a given GOES satellite pixel determined by fusing satellite and NWP model data using a naive Bayesian probabilistic model and classifier.
	GOES West FLS LIFR Fog Probability [G18-L2-FLS-LIFR] LIFR probability: Probability that LIFR (or lower) flight rule category is present for a given GOES satellite pixel determined by fusing satellite and NWP model data using a naive Bayesian probabilistic model and classifier. LIFR probability: Probability that LIFR (or lower) flight rule category is present for a given GOES satellite pixel determined by fusing satellite and NWP model data using a naive Bayesian probabilistic model and classifier.
	GOES West FLS MVFR Fog Probability [G18-L2-FLS-MVFR] MVFR probability: Probability that MVFR (or lower) flight rule category is present for a given GOES satellite pixel determined by fusing satellite and NWP model data using a naive Bayesian probabilistic model and classifier. MVFR probability: Probability that MVFR (or lower) flight rule category is present for a given GOES satellite pixel determined by fusing satellite and NWP model data using a naive Bayesian probabilistic model and classifier.

	G18-ABI-MESO1-airmass [G18-ABI-MESO1-airmass] G18-ABI-MESO1-airmass G18-ABI-MESO1-airmass
	G18-ABI-MESO1-ash [G18-ABI-MESO1-ash] G18-ABI-MESO1-ash G18-ABI-MESO1-ash
	G18-ABI-MESO1-cloud-phase [G18-ABI-MESO1-cloud-phase] G18-ABI-MESO1-cloud-phase G18-ABI-MESO1-cloud-phase
	G18-ABI-MESO1-convection [G18-ABI-MESO1-convection] G18-ABI-MESO1-convection G18-ABI-MESO1-convection
	G18-ABI-MESO1-day-microphysics-abi [G18-ABI-MESO1-day-microphysics-abi] G18-ABI-MESO1-day-microphysics-abi G18-ABI-MESO1-day-microphysics-abi
	G18-ABI-MESO1-dust [G18-ABI-MESO1-dust] G18-ABI-MESO1-dust G18-ABI-MESO1-dust
	G18-ABI-MESO1-fire-temperature-awips [G18-ABI-MESO1-fire-temperature-awips] G18-ABI-MESO1-fire-temperature-awips G18-ABI-MESO1-fire-temperature-awips
	G18-ABI-MESO1-fog [G18-ABI-MESO1-fog] G18-ABI-MESO1-fog G18-ABI-MESO1-fog
	G18-ABI-MESO1-geo-color [G18-ABI-MESO1-geo-color] G18-ABI-MESO1-geo-color G18-ABI-MESO1-geo-color
	G18-ABI-MESO1-ir-sandwich [G18-ABI-MESO1-ir-sandwich] G18-ABI-MESO1-ir-sandwich G18-ABI-MESO1-ir-sandwich
	G18-ABI-MESO1-night-microphysics [G18-ABI-MESO1-night-microphysics] G18-ABI-MESO1-night-microphysics G18-ABI-MESO1-night-microphysics
	G18-ABI-MESO1-snow-fog [G18-ABI-MESO1-snow-fog] G18-ABI-MESO1-snow-fog G18-ABI-MESO1-snow-fog
	G18-ABI-MESO1-so2 [G18-ABI-MESO1-so2] G18-ABI-MESO1-so2 G18-ABI-MESO1-so2
	G18-ABI-MESO1-true-color [G18-ABI-MESO1-true-color] View of G18-ABI-MESO1-geo-color View of G18-ABI-MESO1-geo-color
	G18-ABI-MESO1-water-vapors2 [G18-ABI-MESO1-water-vapors2] G18-ABI-MESO1-water-vapors2 G18-ABI-MESO1-water-vapors2
	GOES West ABI Meso1 B01 "Blue" Visible [G18-ABI-MESO1-BAND01] The 0.47µm, or “Blue” visible band, is one of two visible bands on the ABI, and provides data for monitoring aerosols. Included on NASA’s MODIS and Suomi NPP VIIRS instruments, this band provides well-established... The 0.47µm, or “Blue” visible band, is one of two visible bands on the ABI, and provides data for monitoring aerosols. Included on NASA’s MODIS and Suomi NPP VIIRS instruments, this band provides well-established benefits. The geostationary ABI 0.47µm band will provide nearly continuous daytime observations of dust, haze, smoke and clouds. The 0.47µm band is more sensitive to aerosols / dust / smoke because it samples a part of the electromagnetic spectrum where clear-sky atmospheric scattering is important
	GOES West ABI Meso1 B02 Hi-Res "Red" Visible [G18-ABI-MESO1-BAND02] he ‘Red’ Visible band – 0.64 µm – has the finest spatial resolution (0.5 km at the subsatellite point) of all ABI bands. Thus it is ideal to identify small-scale features such as river fogs and fog/clear air... he ‘Red’ Visible band – 0.64 µm – has the finest spatial resolution (0.5 km at the subsatellite point) of all ABI bands. Thus it is ideal to identify small-scale features such as river fogs and fog/clear air boundaries, or overshooting tops or cumulus clouds. It has also been used to document daytime snow and ice cover, diagnose low-level cloud-drift winds, assist with detection of volcanic ash and analysis of hurricanes and winter storms. The ‘Red’ Visible band is also essential for creation of “true color” imagery.
	GOES West ABI Meso1 B03 "Veggie" [G18-ABI-MESO1-BAND03] The 0.86 μm band (a reflective band) detects daytime clouds, fog, and aerosols and is used to compute the normalized difference vegetation index (NDVI). Its nickname is the “veggie” or “vegetation” band. The 0.86... The 0.86 μm band (a reflective band) detects daytime clouds, fog, and aerosols and is used to compute the normalized difference vegetation index (NDVI). Its nickname is the “veggie” or “vegetation” band. The 0.86 μm band can detect burn scars and thereby show land characteristics to determine fire and run-off potential. Vegetated land, in general, shows up brighter in this band than in visible bands. Landwater contrast is also large in this band.
	GOES West ABI Meso1 B04 Cirrus [G18-ABI-MESO1-BAND04] The Cirrus Band (1.37 µm) is unique among the reflective bands on the ABI in that it occupies a region of very strong absorption by water vapor in the electromagnetic spectrum. It will detect very thin cirrus clouds during... The Cirrus Band (1.37 µm) is unique among the reflective bands on the ABI in that it occupies a region of very strong absorption by water vapor in the electromagnetic spectrum. It will detect very thin cirrus clouds during the day.
	GOES West ABI Meso1 B05 Snow/Ice [G18-ABI-MESO1-BAND05] The Snow/Ice band takes advantage of the difference between the refraction components of water and ice at 1.61 µm. Liquid water clouds are bright in this channel; ice clouds are darker because ice absorbs (rather than... The Snow/Ice band takes advantage of the difference between the refraction components of water and ice at 1.61 µm. Liquid water clouds are bright in this channel; ice clouds are darker because ice absorbs (rather than reflects) radiation at 1.61 µm. Thus you can infer cloud phase. Fires can also be detected at night using this band.
	GOES West ABI Meso1 B06 Cloud Particle Size [G18-ABI-MESO1-BAND06] The 2.24 μm band, in conjunction with other bands, enables cloud particle size estimation. Cloud particle size changes can indicate cloud development. The 2.24 μm band is also used with other bands to estimate... The 2.24 μm band, in conjunction with other bands, enables cloud particle size estimation. Cloud particle size changes can indicate cloud development. The 2.24 μm band is also used with other bands to estimate aerosol particle size (by characterizing the aerosol-free background over land), to create cloud masking and to detect hot spots.
	GOES West ABI Meso1 B07 "Fire" [G18-ABI-MESO1-BAND07] The 3.9 μm band can be used to identify fog and low clouds at night, identify fire hot spots, detect volcanic ash, estimate sea-surface temperatures, and discriminate between ice crystal sizes during the day.... The 3.9 μm band can be used to identify fog and low clouds at night, identify fire hot spots, detect volcanic ash, estimate sea-surface temperatures, and discriminate between ice crystal sizes during the day. Low-level atmospheric vector winds can be estimated with this band, and the band can be used to study urban heat islands. The 3.9 μm is unique among ABI bands because it senses both emitted terrestrial radiation as well as significant reflected solar radiation during the day.
	GOES West ABI Meso1 B08 Upper-level Water Vapor [G18-ABI-MESO1-BAND08] The 6.2 µm “Upper-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking upper-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm... The 6.2 µm “Upper-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking upper-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm motion, monitoring
	GOES West ABI Meso1 B09 Mid-level Water Vapor [G18-ABI-MESO1-BAND09] The 6.9 µm “Mid-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking middle-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm... The 6.9 µm “Mid-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking middle-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm motion, monitoring severe weather potential, estimating mid-level moisture (for legacy vertical moisture profiles) and identifying regions where turbulence might exist. Surface features are usually not apparent in this band. Brightness Temperatures show cooling because of absorption of energy at 6.9 µm by water vapor.
	GOES West ABI Meso1 B10 Lower-level Water Vapor [G18-ABI-MESO1-BAND10] The 7.3 µm “Lower-level water vapor” band is one of three water vapor bands on the ABI. It typically senses farthest down into the midtroposphere in cloud-free regions, to around 500-750 hPa. It is used to track lower... The 7.3 µm “Lower-level water vapor” band is one of three water vapor bands on the ABI. It typically senses farthest down into the midtroposphere in cloud-free regions, to around 500-750 hPa. It is used to track lower tropospheric winds, identify jet streaks, monitor severe weather potential, estimate lower-level moisture (for legacy vertical moisture profiles), identify regions where the potential for turbulence exists, highlight volcanic plumes that are rich in sulphur dioxide (SO2) and track LakeEffect snow bands.
	GOES West ABI Meso1 B11 Cloud Phase [G18-ABI-MESO1-BAND11] he infrared 8.5 μm band is a window channel; there is little atmospheric absorption of energy in clear skies at this wavelength (unless SO2 from a volcanic eruption is present). However, knowledge of emissivity is... he infrared 8.5 μm band is a window channel; there is little atmospheric absorption of energy in clear skies at this wavelength (unless SO2 from a volcanic eruption is present). However, knowledge of emissivity is important in the interpretation of this Band: Differences in surface emissivity at 8.5 μm occur over different soil types, affecting the perceived brightness temperature. Water droplets also have different emissivity properties for 8.5 μm radiation compared to other wavelengths. The 8.5 μm band was not available on either theLegacy GOES Imager or GOES Sounder.
	GOES West ABI Meso1 B12 Ozone [G18-ABI-MESO1-BAND12] The 9.6 μm band gives information both day and night about the dynamics of the atmosphere near the tropopause. This band shows cooler temperatures than the clean window band because both ozone and water vapor... The 9.6 μm band gives information both day and night about the dynamics of the atmosphere near the tropopause. This band shows cooler temperatures than the clean window band because both ozone and water vapor absorb 9.6 μm atmospheric energy. The cooling effect is especially apparent at large zenith angles. This band alone cannot diagnose total column ozone: product generation using other bands will be necessary for that.
	GOES West ABI Meso1 B13 "Clean" Infrared [G18-ABI-MESO1-BAND13] The 10.3 μm “clean” infrared window band is less sensitive than other infrared window bands to water vapor absorption, and therefore improves atmospheric moisture corrections, aids in cloud and other atmospheric... The 10.3 μm “clean” infrared window band is less sensitive than other infrared window bands to water vapor absorption, and therefore improves atmospheric moisture corrections, aids in cloud and other atmospheric feature identification/classification, estimation of cloudtop brightness temperature and cloud particle size, and surface property characterization in derived products.
	GOES West ABI Meso1 B13 "Clean" Infrared enhanced [G18-ABI-MESO1-BAND13-GRAD] The 10.3 μm “clean” infrared window band is less sensitive than other infrared window bands to water vapor absorption, and therefore improves atmospheric moisture corrections, aids in cloud and other atmospheric... The 10.3 μm “clean” infrared window band is less sensitive than other infrared window bands to water vapor absorption, and therefore improves atmospheric moisture corrections, aids in cloud and other atmospheric feature identification/classification, estimation of cloudtop brightness temperature and cloud particle size, and surface property characterization in derived products.
	GOES West ABI Meso1 B14 Infrared [G18-ABI-MESO1-BAND14] The infrared 11.2 μm band is a window channel; however, there is absorption of energy by water vapor at this wavelength. Brightness Temperatures (BTs) are affected by this absorption, and 11.2 μm BTs will... The infrared 11.2 μm band is a window channel; however, there is absorption of energy by water vapor at this wavelength. Brightness Temperatures (BTs) are affected by this absorption, and 11.2 μm BTs will be cooler than clean window (10.3 μm) BTs – by an amount that is a function of the amount of moisture in the atmosphere. This band has similarities to the legacy infrared channel at 10.7 μm.
	GOES West ABI Meso1 B15 "Dirty" Infrared [G18-ABI-MESO1-BAND15] Absorption and re-emission of water vapor, particularly in the lower troposphere, slightly cools most non-cloud brightness temperatures (BTs) in the 12.3 μm band compared to the other infrared window channels: the more... Absorption and re-emission of water vapor, particularly in the lower troposphere, slightly cools most non-cloud brightness temperatures (BTs) in the 12.3 μm band compared to the other infrared window channels: the more water vapor, the greater the BT difference. The 12.3 μm band and the 10.3 μm are used to compute the ‘split window difference’. The 10.3 μm “Clean Window” channel is a better choice than the “Dirty Window” (12.3 μm) for the monitoring of simple atmospheric phenomena.
	GOES West ABI Meso1 B16 Carbon Dioxide [G18-ABI-MESO1-BAND16] Products derived using the infrared 13.3 μm “Carbon Dioxide” band can be used to delineate the tropopause, to estimate cloudtop heights, to discern the level of Derived Motion Winds, to supplement Automated Surface... Products derived using the infrared 13.3 μm “Carbon Dioxide” band can be used to delineate the tropopause, to estimate cloudtop heights, to discern the level of Derived Motion Winds, to supplement Automated Surface Observing System (ASOS) sky observations and to identify Volcanic Ash. The 13.3 μm band is vital for Baseline Products; that is demonstrated by its presence on heritage GOES Imagers and Sounders. Despite its importance in products, the CO2 channel is typically not used for visual interpretation of weather events.

	G18-ABI-MESO2-airmass [G18-ABI-MESO2-airmass] G18-ABI-MESO2-airmass G18-ABI-MESO2-airmass
	G18-ABI-MESO2-ash [G18-ABI-MESO2-ash] G18-ABI-MESO2-ash G18-ABI-MESO2-ash
	G18-ABI-MESO2-cloud-phase [G18-ABI-MESO2-cloud-phase] G18-ABI-MESO2-cloud-phase G18-ABI-MESO2-cloud-phase
	G18-ABI-MESO2-convection [G18-ABI-MESO2-convection] G18-ABI-MESO2-convection G18-ABI-MESO2-convection
	G18-ABI-MESO2-day-microphysics-abi [G18-ABI-MESO2-day-microphysics-abi] G18-ABI-MESO2-day-microphysics-abi G18-ABI-MESO2-day-microphysics-abi
	G18-ABI-MESO2-dust [G18-ABI-MESO2-dust] G18-ABI-MESO2-dust G18-ABI-MESO2-dust
	G18-ABI-MESO2-fire-temperature-awips [G18-ABI-MESO2-fire-temperature-awips] G18-ABI-MESO2-fire-temperature-awips G18-ABI-MESO2-fire-temperature-awips
	G18-ABI-MESO2-fog [G18-ABI-MESO2-fog] G18-ABI-MESO2-fog G18-ABI-MESO2-fog
	G18-ABI-MESO2-geo-color [G18-ABI-MESO2-geo-color] G18-ABI-MESO2-geo-color G18-ABI-MESO2-geo-color
	G18-ABI-MESO2-ir-sandwich [G18-ABI-MESO2-ir-sandwich] G18-ABI-MESO2-ir-sandwich G18-ABI-MESO2-ir-sandwich
	G18-ABI-MESO2-night-microphysics [G18-ABI-MESO2-night-microphysics] G18-ABI-MESO2-night-microphysics G18-ABI-MESO2-night-microphysics
	G18-ABI-MESO2-snow-fog [G18-ABI-MESO2-snow-fog] G18-ABI-MESO2-snow-fog G18-ABI-MESO2-snow-fog
	G18-ABI-MESO2-so2 [G18-ABI-MESO2-so2] G18-ABI-MESO2-so2 G18-ABI-MESO2-so2
	G18-ABI-MESO2-true-color [G18-ABI-MESO2-true-color] View of G18-ABI-MESO2-geo-color View of G18-ABI-MESO2-geo-color
	G18-ABI-MESO2-water-vapors2 [G18-ABI-MESO2-water-vapors2] G18-ABI-MESO2-water-vapors2 G18-ABI-MESO2-water-vapors2
	GOES West ABI Meso2 B01 "Blue" Visible [G18-ABI-MESO2-BAND01] The 0.47µm, or “Blue” visible band, is one of two visible bands on the ABI, and provides data for monitoring aerosols. Included on NASA’s MODIS and Suomi NPP VIIRS instruments, this band provides well-established... The 0.47µm, or “Blue” visible band, is one of two visible bands on the ABI, and provides data for monitoring aerosols. Included on NASA’s MODIS and Suomi NPP VIIRS instruments, this band provides well-established benefits. The geostationary ABI 0.47µm band will provide nearly continuous daytime observations of dust, haze, smoke and clouds. The 0.47µm band is more sensitive to aerosols / dust / smoke because it samples a part of the electromagnetic spectrum where clear-sky atmospheric scattering is important
	GOES West ABI Meso2 B02 Hi-Res "Red" Visible [G18-ABI-MESO2-BAND02] he ‘Red’ Visible band – 0.64 µm – has the finest spatial resolution (0.5 km at the subsatellite point) of all ABI bands. Thus it is ideal to identify small-scale features such as river fogs and fog/clear air... he ‘Red’ Visible band – 0.64 µm – has the finest spatial resolution (0.5 km at the subsatellite point) of all ABI bands. Thus it is ideal to identify small-scale features such as river fogs and fog/clear air boundaries, or overshooting tops or cumulus clouds. It has also been used to document daytime snow and ice cover, diagnose low-level cloud-drift winds, assist with detection of volcanic ash and analysis of hurricanes and winter storms. The ‘Red’ Visible band is also essential for creation of “true color” imagery.
	GOES West ABI Meso2 B03 "Veggie" [G18-ABI-MESO2-BAND03] The 0.86 μm band (a reflective band) detects daytime clouds, fog, and aerosols and is used to compute the normalized difference vegetation index (NDVI). Its nickname is the “veggie” or “vegetation” band. The 0.86... The 0.86 μm band (a reflective band) detects daytime clouds, fog, and aerosols and is used to compute the normalized difference vegetation index (NDVI). Its nickname is the “veggie” or “vegetation” band. The 0.86 μm band can detect burn scars and thereby show land characteristics to determine fire and run-off potential. Vegetated land, in general, shows up brighter in this band than in visible bands. Landwater contrast is also large in this band.
	GOES West ABI Meso2 B04 Cirrus [G18-ABI-MESO2-BAND04] The Cirrus Band (1.37 µm) is unique among the reflective bands on the ABI in that it occupies a region of very strong absorption by water vapor in the electromagnetic spectrum. It will detect very thin cirrus clouds during... The Cirrus Band (1.37 µm) is unique among the reflective bands on the ABI in that it occupies a region of very strong absorption by water vapor in the electromagnetic spectrum. It will detect very thin cirrus clouds during the day.
	GOES West ABI Meso2 B05 Snow/Ice [G18-ABI-MESO2-BAND05] The Snow/Ice band takes advantage of the difference between the refraction components of water and ice at 1.61 µm. Liquid water clouds are bright in this channel; ice clouds are darker because ice absorbs (rather than... The Snow/Ice band takes advantage of the difference between the refraction components of water and ice at 1.61 µm. Liquid water clouds are bright in this channel; ice clouds are darker because ice absorbs (rather than reflects) radiation at 1.61 µm. Thus you can infer cloud phase. Fires can also be detected at night using this band.
	GOES West ABI Meso2 B06 Cloud Particle Size [G18-ABI-MESO2-BAND06] The 2.24 μm band, in conjunction with other bands, enables cloud particle size estimation. Cloud particle size changes can indicate cloud development. The 2.24 μm band is also used with other bands to estimate... The 2.24 μm band, in conjunction with other bands, enables cloud particle size estimation. Cloud particle size changes can indicate cloud development. The 2.24 μm band is also used with other bands to estimate aerosol particle size (by characterizing the aerosol-free background over land), to create cloud masking and to detect hot spots.
	GOES West ABI Meso2 B07 "Fire" [G18-ABI-MESO2-BAND07] The 3.9 μm band can be used to identify fog and low clouds at night, identify fire hot spots, detect volcanic ash, estimate sea-surface temperatures, and discriminate between ice crystal sizes during the day.... The 3.9 μm band can be used to identify fog and low clouds at night, identify fire hot spots, detect volcanic ash, estimate sea-surface temperatures, and discriminate between ice crystal sizes during the day. Low-level atmospheric vector winds can be estimated with this band, and the band can be used to study urban heat islands. The 3.9 μm is unique among ABI bands because it senses both emitted terrestrial radiation as well as significant reflected solar radiation during the day.
	GOES West ABI Meso2 B08 Upper-level Water Vapor [G18-ABI-MESO2-BAND08] The 6.2 µm “Upper-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking upper-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm... The 6.2 µm “Upper-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking upper-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm motion, monitoring
	GOES West ABI Meso2 B09 Mid-level Water Vapor [G18-ABI-MESO2-BAND09] The 6.9 µm “Mid-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking middle-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm... The 6.9 µm “Mid-level water vapor” band is one of three water vapor bands on the ABI, and is used for tracking middle-tropospheric winds, identifying jet streams, forecasting hurricane track and mid-latitude storm motion, monitoring severe weather potential, estimating mid-level moisture (for legacy vertical moisture profiles) and identifying regions where turbulence might exist. Surface features are usually not apparent in this band. Brightness Temperatures show cooling because of absorption of energy at 6.9 µm by water vapor.
	GOES West ABI Meso2 B10 Lower-level Water Vapor [G18-ABI-MESO2-BAND10] The 7.3 µm “Lower-level water vapor” band is one of three water vapor bands on the ABI. It typically senses farthest down into the midtroposphere in cloud-free regions, to around 500-750 hPa. It is used to track... The 7.3 µm “Lower-level water vapor” band is one of three water vapor bands on the ABI. It typically senses farthest down into the midtroposphere in cloud-free regions, to around 500-750 hPa. It is used to track lowertropospheric winds, identify jet streaks, monitor severe weather potential, estimate lower-level moisture (for legacy vertical moisture profiles), identify regions where the potential for turbulence exists, highlight volcanic plumes that are rich in sulphur dioxide (SO2) and track LakeEffect snow bands.
	GOES West ABI Meso2 B11 Cloud Phase [G18-ABI-MESO2-BAND11] he infrared 8.5 μm band is a window channel; there is little atmospheric absorption of energy in clear skies at this wavelength (unless SO2 from a volcanic eruption is present). However, knowledge of emissivity is... he infrared 8.5 μm band is a window channel; there is little atmospheric absorption of energy in clear skies at this wavelength (unless SO2 from a volcanic eruption is present). However, knowledge of emissivity is important in the interpretation of this Band: Differences in surface emissivity at 8.5 μm occur over different soil types, affecting the perceived brightness temperature. Water droplets also have different emissivity properties for 8.5 μm radiation compared to other wavelengths. The 8.5 μm band was not available on either the Legacy GOES Imager or GOES Sounder.
	GOES West ABI Meso2 B12 Ozone [G18-ABI-MESO2-BAND12] The 9.6 μm band gives information both day and night about the dynamics of the atmosphere near the tropopause. This band shows cooler temperatures than the clean window band because both ozone and water vapor... The 9.6 μm band gives information both day and night about the dynamics of the atmosphere near the tropopause. This band shows cooler temperatures than the clean window band because both ozone and water vapor absorb 9.6 μm atmospheric energy. The cooling effect is especially apparent at large zenith angles. This band alone cannot diagnose total column ozone: product generation using other bands will be necessary for that.
	GOES West ABI Meso2 B13 "Clean" Infrared [G18-ABI-MESO2-BAND13] The 10.3 μm “clean” infrared window band is less sensitive than other infrared window bands to water vapor absorption, and therefore improves atmospheric moisture corrections, aids in cloud and other atmospheric... The 10.3 μm “clean” infrared window band is less sensitive than other infrared window bands to water vapor absorption, and therefore improves atmospheric moisture corrections, aids in cloud and other atmospheric feature identification/classification, estimation of cloudtop brightness temperature and cloud particle size, and surface property characterization in derived products.
	GOES West ABI Meso2 B13 "Clean" Infrared enhanced [G18-ABI-MESO2-BAND13-GRAD] The 10.3 μm “clean” infrared window band is less sensitive than other infrared window bands to water vapor absorption, and therefore improves atmospheric moisture corrections, aids in cloud and other atmospheric... The 10.3 μm “clean” infrared window band is less sensitive than other infrared window bands to water vapor absorption, and therefore improves atmospheric moisture corrections, aids in cloud and other atmospheric feature identification/classification, estimation of cloudtop brightness temperature and cloud particle size, and surface property characterization in derived products.
	GOES West ABI Meso2 B14 Infrared [G18-ABI-MESO2-BAND14] The infrared 11.2 μm band is a window channel; however, there is absorption of energy by water vapor at this wavelength. Brightness Temperatures (BTs) are affected by this absorption, and 11.2 μm BTs will... The infrared 11.2 μm band is a window channel; however, there is absorption of energy by water vapor at this wavelength. Brightness Temperatures (BTs) are affected by this absorption, and 11.2 μm BTs will be cooler than clean window (10.3 μm) BTs – by an amount that is a function of the amount of moisture in the atmosphere. This band has similarities to the legacy infrared channel at 10.7 μm.
	GOES West ABI Meso2 B15 "Dirty" Infrared [G18-ABI-MESO2-BAND15] Absorption and re-emission of water vapor, particularly in the lower troposphere, slightly cools most non-cloud brightness temperatures (BTs) in the 12.3 μm band compared to the other infrared window channels: the more... Absorption and re-emission of water vapor, particularly in the lower troposphere, slightly cools most non-cloud brightness temperatures (BTs) in the 12.3 μm band compared to the other infrared window channels: the more water vapor, the greater the BT difference. The 12.3 μm band and the 10.3 μm are used to compute the ‘split window difference’. The 10.3 μm “Clean Window” channel is a better choice than the “Dirty Window” (12.3 μm) for the monitoring of simple atmospheric phenomena.
	GOES West ABI Meso2 B16 Carbon Dioxide [G18-ABI-MESO2-BAND16] Products derived using the infrared 13.3 μm “Carbon Dioxide” band can be used to delineate the tropopause, to estimate cloudtop heights, to discern the level of Derived Motion Winds, to supplement Automated Surface... Products derived using the infrared 13.3 μm “Carbon Dioxide” band can be used to delineate the tropopause, to estimate cloudtop heights, to discern the level of Derived Motion Winds, to supplement Automated Surface Observing System (ASOS) skyobservations and to identify Volcanic Ash. The 13.3 μm band is vital for Baseline Products; that is demonstrated by its presence on heritage GOES Imagers and Sounders. Despite its importance in products, the CO2 channel is typically not used for visual interpretation of weather events.

	HIMAWARI-airmass [HIMAWARI-airmass] HIMAWARI-airmass HIMAWARI-airmass
	HIMAWARI-ash [HIMAWARI-ash] HIMAWARI-ash HIMAWARI-ash
	HIMAWARI-cloudtop [HIMAWARI-cloudtop] HIMAWARI-cloudtop HIMAWARI-cloudtop
	HIMAWARI-convection [HIMAWARI-convection] HIMAWARI-convection HIMAWARI-convection
	HIMAWARI-day-microphysics-ahi [HIMAWARI-day-microphysics-ahi] HIMAWARI-day-microphysics-ahi HIMAWARI-day-microphysics-ahi
	HIMAWARI-dust [HIMAWARI-dust] HIMAWARI-dust HIMAWARI-dust
	HIMAWARI-fire-temperature-awips [HIMAWARI-fire-temperature-awips] HIMAWARI-fire-temperature-awips HIMAWARI-fire-temperature-awips
	HIMAWARI-fog [HIMAWARI-fog] HIMAWARI-fog HIMAWARI-fog
	HIMAWARI-night-microphysics [HIMAWARI-night-microphysics] HIMAWARI-night-microphysics HIMAWARI-night-microphysics
	HIMAWARI-true-color [HIMAWARI-true-color] HIMAWARI-true-color HIMAWARI-true-color
	HIMAWARI-water-vapors2 [HIMAWARI-water-vapors2] HIMAWARI-water-vapors2 HIMAWARI-water-vapors2
	Himawari AHI Full Disk B01 "Blue" Visible [HIMAWARI-B01] Himawari AHI Full Disk B01 "Blue" Visible Himawari AHI Full Disk B01 "Blue" Visible
	Himawari AHI Full Disk B02 "Green" Visible [HIMAWARI-B02] Himawari AHI Full Disk B02 "Green" Visible Himawari AHI Full Disk B02 "Green" Visible
	Himawari AHI Full Disk B03 Hi-Res "Red" Visible [HIMAWARI-B03] Himawari AHI Full Disk B03 Hi-Res "Red" Visible Himawari AHI Full Disk B03 Hi-Res "Red" Visible
	Himawari AHI Full Disk B04 "Veggie" [HIMAWARI-B04] Himawari AHI Full Disk B04 "Veggie" Himawari AHI Full Disk B04 "Veggie"
	Himawari AHI Full Disk B05 Snow and Ice [HIMAWARI-B05] Himawari AHI Full Disk B05 Snow and Ice Himawari AHI Full Disk B05 Snow and Ice
	Himawari AHI Full Disk B06 Cloud Particle Size [HIMAWARI-B06] Himawari AHI Full Disk B06 Cloud Particle Size Himawari AHI Full Disk B06 Cloud Particle Size
	Himawari AHI Full Disk B07 "Fire" [HIMAWARI-B07] Himawari AHI Full Disk B07 "Fire" Himawari AHI Full Disk B07 "Fire"
	Himawari AHI Full Disk B07 "Fire" enhanced [HIMAWARI-B07-FIRE] View of HIMAWARI-B07 View of HIMAWARI-B07
	Himawari AHI Full Disk B08 Upper-level Water Vapor [HIMAWARI-B08] Himawari AHI Full Disk B08 Upper-level Water Vapor Himawari AHI Full Disk B08 Upper-level Water Vapor
	Himawari AHI Full Disk B08 Upper-level Water Vapor enhanced [HIMAWARI-B08-VAPR] View of HIMAWARI-B08 View of HIMAWARI-B08
	Himawari AHI Full Disk B09 Mid-level Water Vapor [HIMAWARI-B09] Himawari AHI Full Disk B09 Mid-level Water Vapor Himawari AHI Full Disk B09 Mid-level Water Vapor
	Himawari AHI Full Disk B09 Mid-level Water Vapor enhanced [HIMAWARI-B09-VAPR] View of HIMAWARI-09 View of HIMAWARI-09
	Himawari AHI Full Disk B10 Low-level Water Vapor [HIMAWARI-B10] Himawari AHI Full Disk B10 Low-level Water Vapor Himawari AHI Full Disk B10 Low-level Water Vapor
	Himawari AHI Full Disk B10 Low-level Water Vapor enhanced [HIMAWARI-B10-VAPR] View of HIMAWARI-B10 View of HIMAWARI-B10
	Himawari AHI Full Disk B11 Cloud Phase [HIMAWARI-B11] Himawari AHI Full Disk B11 Cloud Phase Himawari AHI Full Disk B11 Cloud Phase
	Himawari AHI Full Disk B12 Ozone [HIMAWARI-B12] Himawari AHI Full Disk B12 Ozone Himawari AHI Full Disk B12 Ozone
	Himawari AHI Full Disk B13 "Clean" Infrared [HIMAWARI-B13] Himawari AHI Full Disk B13 "Clean" Infrared Himawari AHI Full Disk B13 "Clean" Infrared
	Himawari AHI Full Disk B13 "Clean" Infrared enhanced [HIMAWARI-B13-GRAD] View of HIMAWARI-B13 View of HIMAWARI-B13
	Himawari AHI Full Disk B14 Infrared [HIMAWARI-B14] Himawari AHI Full Disk B14 Infrared Himawari AHI Full Disk B14 Infrared
	Himawari AHI Full Disk B14 Infrared enhanced [HIMAWARI-B14-GRAD] View of HIMAWARI-B14 View of HIMAWARI-B14
	Himawari AHI Full Disk B15 "Dirty" Infrared [HIMAWARI-B15] Himawari AHI Full Disk B15 "Dirty" Infrared Himawari AHI Full Disk B15 "Dirty" Infrared
	Himawari AHI Full Disk B15 "Dirty" Infrared enhanced [HIMAWARI-B15-GRAD] View of HIMAWARI-B15 View of HIMAWARI-B15
	Himawari AHI Full Disk B16 Carbon Dioxide [HIMAWARI-B16] Himawari AHI Full Disk B16 Carbon Dioxide Himawari AHI Full Disk B16 Carbon Dioxide

	HIMAWARI-Japan-airmass [HIMAWARI-Japan-airmass] HIMAWARI-Japan-airmass HIMAWARI-Japan-airmass
	HIMAWARI-Japan-ash [HIMAWARI-Japan-ash] HIMAWARI-Japan-ash HIMAWARI-Japan-ash
	HIMAWARI-Japan-B01 [HIMAWARI-Japan-B01] HIMAWARI-Japan-B01 HIMAWARI-Japan-B01
	HIMAWARI-Japan-B02 [HIMAWARI-Japan-B02] HIMAWARI-Japan-B02 HIMAWARI-Japan-B02
	HIMAWARI-Japan-B03 [HIMAWARI-Japan-B03] HIMAWARI-Japan-B03 HIMAWARI-Japan-B03
	HIMAWARI-Japan-B04 [HIMAWARI-Japan-B04] HIMAWARI-Japan-B04 HIMAWARI-Japan-B04
	HIMAWARI-Japan-B05 [HIMAWARI-Japan-B05] HIMAWARI-Japan-B05 HIMAWARI-Japan-B05
	HIMAWARI-Japan-B06 [HIMAWARI-Japan-B06] HIMAWARI-Japan-B06 HIMAWARI-Japan-B06
	HIMAWARI-Japan-B07 [HIMAWARI-Japan-B07] HIMAWARI-Japan-B07 HIMAWARI-Japan-B07
	HIMAWARI-Japan-B08 [HIMAWARI-Japan-B08] HIMAWARI-Japan-B08 HIMAWARI-Japan-B08
	HIMAWARI-Japan-B09 [HIMAWARI-Japan-B09] HIMAWARI-Japan-B09 HIMAWARI-Japan-B09
	HIMAWARI-Japan-B10 [HIMAWARI-Japan-B10] HIMAWARI-Japan-B10 HIMAWARI-Japan-B10
	HIMAWARI-Japan-B11 [HIMAWARI-Japan-B11] HIMAWARI-Japan-B11 HIMAWARI-Japan-B11
	HIMAWARI-Japan-B12 [HIMAWARI-Japan-B12] HIMAWARI-Japan-B12 HIMAWARI-Japan-B12
	HIMAWARI-Japan-B13 [HIMAWARI-Japan-B13] HIMAWARI-Japan-B13 HIMAWARI-Japan-B13
	HIMAWARI-Japan-B14 [HIMAWARI-Japan-B14] HIMAWARI-Japan-B14 HIMAWARI-Japan-B14
	HIMAWARI-Japan-B15 [HIMAWARI-Japan-B15] HIMAWARI-Japan-B15 HIMAWARI-Japan-B15
	HIMAWARI-Japan-B16 [HIMAWARI-Japan-B16] HIMAWARI-Japan-B16 HIMAWARI-Japan-B16
	HIMAWARI-Japan-cloudtop [HIMAWARI-Japan-cloudtop] HIMAWARI-Japan-cloudtop HIMAWARI-Japan-cloudtop
	HIMAWARI-Japan-convection [HIMAWARI-Japan-convection] HIMAWARI-Japan-convection HIMAWARI-Japan-convection
	HIMAWARI-Japan-day-microphysics-ahi [HIMAWARI-Japan-day-microphysics-ahi] HIMAWARI-Japan-day-microphysics-ahi HIMAWARI-Japan-day-microphysics-ahi
	HIMAWARI-Japan-dust [HIMAWARI-Japan-dust] HIMAWARI-Japan-dust HIMAWARI-Japan-dust
	HIMAWARI-Japan-fire-temperature-awips [HIMAWARI-Japan-fire-temperature-awips] HIMAWARI-Japan-fire-temperature-awips HIMAWARI-Japan-fire-temperature-awips
	HIMAWARI-Japan-fog [HIMAWARI-Japan-fog] HIMAWARI-Japan-fog HIMAWARI-Japan-fog
	HIMAWARI-Japan-night-microphysics [HIMAWARI-Japan-night-microphysics] HIMAWARI-Japan-night-microphysics HIMAWARI-Japan-night-microphysics
	HIMAWARI-Japan-true-color [HIMAWARI-Japan-true-color] HIMAWARI-Japan-true-color HIMAWARI-Japan-true-color
	HIMAWARI-Japan-water-vapors2 [HIMAWARI-Japan-water-vapors2] HIMAWARI-Japan-water-vapors2 HIMAWARI-Japan-water-vapors2

	HIMAWARI-Target-airmass [HIMAWARI-Target-airmass] HIMAWARI-Target-airmass HIMAWARI-Target-airmass
	HIMAWARI-Target-ash [HIMAWARI-Target-ash] HIMAWARI-Target-ash HIMAWARI-Target-ash
	HIMAWARI-Target-B01 [HIMAWARI-Target-B01] HIMAWARI-Target-B01 HIMAWARI-Target-B01
	HIMAWARI-Target-B02 [HIMAWARI-Target-B02] HIMAWARI-Target-B02 HIMAWARI-Target-B02
	HIMAWARI-Target-B03 [HIMAWARI-Target-B03] HIMAWARI-Target-B03 HIMAWARI-Target-B03
	HIMAWARI-Target-B04 [HIMAWARI-Target-B04] HIMAWARI-Target-B04 HIMAWARI-Target-B04
	HIMAWARI-Target-B05 [HIMAWARI-Target-B05] HIMAWARI-Target-B05 HIMAWARI-Target-B05
	HIMAWARI-Target-B06 [HIMAWARI-Target-B06] HIMAWARI-Target-B06 HIMAWARI-Target-B06
	HIMAWARI-Target-B07 [HIMAWARI-Target-B07] HIMAWARI-Target-B07 HIMAWARI-Target-B07
	HIMAWARI-Target-B08 [HIMAWARI-Target-B08] HIMAWARI-Target-B08 HIMAWARI-Target-B08
	HIMAWARI-Target-B09 [HIMAWARI-Target-B09] HIMAWARI-Target-B09 HIMAWARI-Target-B09
	HIMAWARI-Target-B10 [HIMAWARI-Target-B10] HIMAWARI-Target-B10 HIMAWARI-Target-B10
	HIMAWARI-Target-B11 [HIMAWARI-Target-B11] HIMAWARI-Target-B11 HIMAWARI-Target-B11
	HIMAWARI-Target-B12 [HIMAWARI-Target-B12] HIMAWARI-Target-B12 HIMAWARI-Target-B12
	HIMAWARI-Target-B13 [HIMAWARI-Target-B13] HIMAWARI-Target-B13 HIMAWARI-Target-B13
	HIMAWARI-Target-B14 [HIMAWARI-Target-B14] HIMAWARI-Target-B14 HIMAWARI-Target-B14
	HIMAWARI-Target-B15 [HIMAWARI-Target-B15] HIMAWARI-Target-B15 HIMAWARI-Target-B15
	HIMAWARI-Target-B16 [HIMAWARI-Target-B16] HIMAWARI-Target-B16 HIMAWARI-Target-B16
	HIMAWARI-Target-cloudtop [HIMAWARI-Target-cloudtop] HIMAWARI-Target-cloudtop HIMAWARI-Target-cloudtop
	HIMAWARI-Target-convection [HIMAWARI-Target-convection] HIMAWARI-Target-convection HIMAWARI-Target-convection
	HIMAWARI-Target-day-microphysics-ahi [HIMAWARI-Target-day-microphysics-ahi] HIMAWARI-Target-day-microphysics-ahi HIMAWARI-Target-day-microphysics-ahi
	HIMAWARI-Target-dust [HIMAWARI-Target-dust] HIMAWARI-Target-dust HIMAWARI-Target-dust
	HIMAWARI-Target-fire-temperature-awips [HIMAWARI-Target-fire-temperature-awips] HIMAWARI-Target-fire-temperature-awips HIMAWARI-Target-fire-temperature-awips
	HIMAWARI-Target-fog [HIMAWARI-Target-fog] HIMAWARI-Target-fog HIMAWARI-Target-fog
	HIMAWARI-Target-night-microphysics [HIMAWARI-Target-night-microphysics] HIMAWARI-Target-night-microphysics HIMAWARI-Target-night-microphysics
	HIMAWARI-Target-true-color [HIMAWARI-Target-true-color] HIMAWARI-Target-true-color HIMAWARI-Target-true-color
	HIMAWARI-Target-water-vapors2 [HIMAWARI-Target-water-vapors2] HIMAWARI-Target-water-vapors2 HIMAWARI-Target-water-vapors2

	MIRS 90Ghz Brightness Temperature [MIRS-BT90] MIRS 90Ghz Brightness Temperature MIRS 90Ghz Brightness Temperature
	MIRS Rain Rate [MIRS-RainRate] With inputs from the ATMS (Advanced Technology Microwave Sounder) sensor aboard JPSS satellites, the rainfall rate product from the Microwave Integrated Retrieval System (MIRS) identifies the intensity of rain at the... With inputs from the ATMS (Advanced Technology Microwave Sounder) sensor aboard JPSS satellites, the rainfall rate product from the Microwave Integrated Retrieval System (MIRS) identifies the intensity of rain at the instant the satellite is passing over the area. It is derived from three vertically integrated MIRS products: Cloud Liquid Water (CLW), Rain Water Path (RWP), and Ice Water Path (IWP), taking advantage of the physical relationship found between atmospheric hydrometeor amounts and surface rain rate.
	SNPP Day/Night AM Composite - Adaptive [nppadpam] NPP Day/Night AM Composite - Adaptive NPP Day/Night AM Composite - Adaptive
	SNPP Day/Night Band (DNB) - Honolulu DB [nppdnbdyn-hnl] NPP Day/Night Band (DNB) - Honolulu DB NPP Day/Night Band (DNB) - Honolulu DB
	SNPP Day/Night Band - Dynamic [nppdnb] NPP Day/Night Band - Dynamic NPP Day/Night Band - Dynamic
	SNPP False Color [nppfc] NPP False Color NPP False Color
	River Flood: Alaska [RIVER-FLDall-AP] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Alaska region Quick guide
	River Flood: Alaska (transparent) [RIVER-FLDtsp-AP] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Alaska region(Transparent flood-free land) Quick guide
	River Flood: Missouri Basin [RIVER-FLDall-MB] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Missouri Basin Quick guide
	River Flood: Missouri Basin (transparent) [RIVER-FLDtsp-MB] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Missouri Basin(Transparent flood-free land) Quick guide
	River Flood: North Central Basin [RIVER-FLDall-NC] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. North Central Basin Quick guide
	River Flood: North Central Basin (transparent) [RIVER-FLDtsp-NC] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. North Central Basin(Transparent flood-free land) Quick guide
	River Flood: North East Basin [RIVER-FLDall-NE] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. North East Basin Quick guide
	River Flood: North East Basin (transparent) [RIVER-FLDtsp-NE] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. North East Basin(Transparent flood-free land) Quick guide
	River Flood: North West [RIVER-FLDall-NW] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Northwest Region Quick guide
	River Flood: North West (transparent) [RIVER-FLDtsp-NW] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Northwest Region(Transparent flood-free land) Quick guide
	River Flood: South East [RIVER-FLDall-SE] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Southeast Region Quick guide
	River Flood: South East (transparent) [RIVER-FLDtsp-SE] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Southeast Region(Transparent flood-free land) Quick guide
	River Flood: South West [RIVER-FLDall-SW] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Southwest Region Quick guide
	River Flood: South West (tsp) [RIVER-FLDtsp-SW] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Southwest Region(Transparent flood-free land) Quick guide
	River Flood: US [RIVER-FLDall-US] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. US Quick guide
	River Flood: US (transparent) [RIVER-FLDtsp-US] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. US(Transparent flood-free land) Quick guide
	River Flood: West Gulf Basin [RIVER-FLDall-WG] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. West Gulf Basin Quick guide
	River Flood: West Gulf Basin (transparent) [RIVER-FLDtsp-WG] CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are... CIMSS hosts a flood product developed at George Mason University (GMU) derived from VIIRS. The product provides an estimate of flooding water fractions, regions of ice, cloud, snow cover, and shadows. Products are generated with direct broadcast VIIRS data in near real-time. The success of the product has sparked interest from several river forecast centers (APRFC, NERFC, MBRFC, and WGRFC) as well as FEMA. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. West Gulf Basin(Transparent flood-free land) Quick guide

	Earth Networks flashes 10-min aggregation [ENI-flash-pts-10min] The aggregation ends on the ABI file start time. The aggregation ends on the ABI file start time.
	GOES-East GLM FED CONUS [GOESEastGLMFEDRadC] GOES-East flash-extent density, a 5-min accumulation of flashes at each point. GOES-East flash-extent density, a 5-min accumulation of flashes at each point.
	GOES-West GLM FED CONUS [GOESWestGLMFEDRadC] GOES-West flash-extent density, a 5-min accumulation of flashes at each point. GOES-West flash-extent density, a 5-min accumulation of flashes at each point.
	LightningCast GOES-East CONUS [PLTGGOESEastRadC] An AI model that predicts the probability of lightning in the next 60 minutes using GOES-R ABI data. An AI model that predicts the probability of lightning in the next 60 minutes using GOES-R ABI data.
	LightningCast GOES-East FD (OCONUS) [PLTGGOESEastRadF] An AI model that predicts the probability of lightning in the next 60 minutes using GOES-R ABI data. An AI model that predicts the probability of lightning in the next 60 minutes using GOES-R ABI data.
	LightningCast GOES-East MESO1 [PLTGGOESEastRadM1] An AI model that predicts the probability of lightning in the next 60 minutes using GOES-R ABI data. An AI model that predicts the probability of lightning in the next 60 minutes using GOES-R ABI data.
	LightningCast GOES-East MESO2 [PLTGGOESEastRadM2] An AI model that predicts the probability of lightning in the next 60 minutes using GOES-R ABI data. An AI model that predicts the probability of lightning in the next 60 minutes using GOES-R ABI data.
	LightningCast GOES-West Alaska/Western Canada [PLTGGOESWestRadFAKCAN] An AI model that predicts the probability of lightning in the next 60 minutes using GOES-R ABI data. An AI model that predicts the probability of lightning in the next 60 minutes using GOES-R ABI data.
	LightningCast GOES-West American Samoa [PLTGGOESWestRadFUSSAMOA] An AI model that predicts the probability of lightning in the next 60 minutes using GOES-R ABI data. An AI model that predicts the probability of lightning in the next 60 minutes using GOES-R ABI data.
	LightningCast GOES-West CONUS [PLTGGOESWestRadC] An AI model that predicts the probability of lightning in the next 60 minutes using GOES-R ABI data. An AI model that predicts the probability of lightning in the next 60 minutes using GOES-R ABI data.
	LightningCast GOES-West MESO1 [PLTGGOESWestRadM1] An AI model that predicts the probability of lightning in the next 60 minutes using GOES-R ABI data. An AI model that predicts the probability of lightning in the next 60 minutes using GOES-R ABI data.
	LightningCast GOES-West MESO2 [PLTGGOESWestRadM2] An AI model that predicts the probability of lightning in the next 60 minutes using GOES-R ABI data. An AI model that predicts the probability of lightning in the next 60 minutes using GOES-R ABI data.
	GOES East GLM Full Disk Group Density [glmgroupdensity] The Geostationary Lightning Mapper, or GLM, on board Geostationary Operational Environmental Satellite– R Series spacecraft, is the first operational lightning mapper flown on a geostationary satellite. GLM... The Geostationary Lightning Mapper, or GLM, on board Geostationary Operational Environmental Satellite– R Series spacecraft, is the first operational lightning mapper flown on a geostationary satellite. GLM detects the light emitted by lightning at the tops of clouds day and night and collects information such as the frequency, location and extent of lightning discharges. The instrument measures total lightning, both in-cloud and cloud-to-ground, to aid in forecasting developing severe storms and a wide range of high-impact environmental phenomena including hailstorms, microburst winds, tornadoes, hurricanes, ash clouds, and snowstorms.
	GOES East GLM Full Disk Group Points [glmgrouppoints] The Geostationary Lightning Mapper, or GLM, on board Geostationary Operational Environmental Satellite– R Series spacecraft, is the first operational lightning mapper flown on a geostationary satellite. GLM... The Geostationary Lightning Mapper, or GLM, on board Geostationary Operational Environmental Satellite– R Series spacecraft, is the first operational lightning mapper flown on a geostationary satellite. GLM detects the light emitted by lightning at the tops of clouds day and night and collects information such as the frequency, location and extent of lightning discharges. The instrument measures total lightning, both in-cloud and cloud-to-ground, to aid in forecasting developing severe storms and a wide range of high-impact environmental phenomena including hailstorms, microburst winds, tornadoes, hurricanes, ash clouds, and snowstorms.

	MIRS 90Ghz Brightness Temperature [MIRS-BT90] MIRS 90Ghz Brightness Temperature MIRS 90Ghz Brightness Temperature
	MIRS Rain Rate [MIRS-RainRate] With inputs from the ATMS (Advanced Technology Microwave Sounder) sensor aboard JPSS satellites, the rainfall rate product from the Microwave Integrated Retrieval System (MIRS) identifies the intensity of rain at the... With inputs from the ATMS (Advanced Technology Microwave Sounder) sensor aboard JPSS satellites, the rainfall rate product from the Microwave Integrated Retrieval System (MIRS) identifies the intensity of rain at the instant the satellite is passing over the area. It is derived from three vertically integrated MIRS products: Cloud Liquid Water (CLW), Rain Water Path (RWP), and Ice Water Path (IWP), taking advantage of the physical relationship found between atmospheric hydrometeor amounts and surface rain rate.
	MIRS RainRate - Alaska (GINA) [MIRS-RainRate-AK] With inputs from the ATMS (Advanced Technology Microwave Sounder) sensor aboard JPSS satellites, the rainfall rate product from the Microwave Integrated Retrieval System (MIRS) identifies the intensity of rain at the... With inputs from the ATMS (Advanced Technology Microwave Sounder) sensor aboard JPSS satellites, the rainfall rate product from the Microwave Integrated Retrieval System (MIRS) identifies the intensity of rain at the instant the satellite is passing over the area. It is derived from three vertically integrated MIRS products: Cloud Liquid Water (CLW), Rain Water Path (RWP), and Ice Water Path (IWP), taking advantage of the physical relationship found between atmospheric hydrometeor amounts and surface rain rate.

	Meteosat 8 SEVIRI Full Disk B01 Vis (0.6um) [Met8-SEVIRI-FD-BAND01] VIS0.6: Known from the Advanced Very High Resolution Radiometer (AVHRR) of the polar-orbiting NOAA satellites. It is essential for cloud detection, cloud tracking, scene identification, aerosol, and land surface and veg... VIS0.6: Known from the Advanced Very High Resolution Radiometer (AVHRR) of the polar-orbiting NOAA satellites. It is essential for cloud detection, cloud tracking, scene identification, aerosol, and land surface and veg etation monitoring.
	Meteosat 8 SEVIRI Full Disk B02 Vis (0.8um) [Met8-SEVIRI-FD-BAND02] VIS0.8: Known from the Advanced Very High Resolution Radiometer (AVHRR) of the polar-orbiting NOAA satellites. It is essential for cloud detection, cloud tracking, scene identification, aerosol, and land surface and veg... VIS0.8: Known from the Advanced Very High Resolution Radiometer (AVHRR) of the polar-orbiting NOAA satellites. It is essential for cloud detection, cloud tracking, scene identification, aerosol, and land surface and veg etation monitoring.
	Meteosat 8 SEVIRI Full Disk B03 NIR (1.6um) [Met8-SEVIRI-FD-BAND03] NIR1.6: Discriminates between snow and cloud, ice and water clouds, and provides aerosol infor mation. Observations are, among others, available from the Along Track Scanning Radiometer (ATSR) on the Earth Remote Sensing... NIR1.6: Discriminates between snow and cloud, ice and water clouds, and provides aerosol infor mation. Observations are, among others, available from the Along Track Scanning Radiometer (ATSR) on the Earth Remote Sensing Satellite (ERS).
	Meteosat 8 SEVIRI Full Disk B04 IR Fire (3.9um) [Met8-SEVIRI-FD-BAND04] IR3.9: Known from AVHRR. Primarily for low cloud and fog detection (Eyre et al. 1984; Lee et al. 1997). Also supports measurement of land and sea surface temperature at night and increases the low- level wind coverage... IR3.9: Known from AVHRR. Primarily for low cloud and fog detection (Eyre et al. 1984; Lee et al. 1997). Also supports measurement of land and sea surface temperature at night and increases the low- level wind coverage from cloud tracking (Velden et al. 2001). For MSG, the spectral band has been broadened to longer wavelengths to improve signal-to-noise ratio.
	Meteosat 8 SEVIRI Full Disk B05 WV High (6.2um) [Met8-SEVIRI-FD-BAND05] WV6.2: Continues mission of Meteosat broadband water vapor channel for observing water vapor and winds. Enhanced to two channels peaking at different levels in the tropo sphere. Also supports height allocation of... WV6.2: Continues mission of Meteosat broadband water vapor channel for observing water vapor and winds. Enhanced to two channels peaking at different levels in the tropo sphere. Also supports height allocation of semitransparent clouds (Nieman et al. 1993; Schmetz et al. 1993).
	Meteosat 8 SEVIRI Full Disk B05 WV High (6.2um) enhanced [Met8-SEVIRI-FD-BAND05-enh] WV6.2: Continues mission of Meteosat broadband water vapor channel for observing water vapor and winds. Enhanced to two channels peaking at different levels in the tropo sphere. Also supports height allocation of... WV6.2: Continues mission of Meteosat broadband water vapor channel for observing water vapor and winds. Enhanced to two channels peaking at different levels in the tropo sphere. Also supports height allocation of semitransparent clouds (Nieman et al. 1993; Schmetz et al. 1993).
	Meteosat 8 SEVIRI Full Disk B06 WV Mid (7.3um) [Met8-SEVIRI-FD-BAND06] WV7.3: Continues mission of Meteosat broadband water vapor channel for ob serving water vapor and winds. Enhanced to two channels peaking at different levels in the tropo sphere. Also supports height allocation of... WV7.3: Continues mission of Meteosat broadband water vapor channel for ob serving water vapor and winds. Enhanced to two channels peaking at different levels in the tropo sphere. Also supports height allocation of semitransparent clouds (Nieman et al. 1993; Schmetz et al. 1993).
	Meteosat 8 SEVIRI Full Disk B07 IR Phase (8.7um) [Met8-SEVIRI-FD-BAND07] IR8.7: Known from the High Resolution Infrared Sounder (HIRS) instrument on the polar-orbiting NOAA satellites. The channel provides quantitative information on thin cirrus clouds and supports the discrimination between... IR8.7: Known from the High Resolution Infrared Sounder (HIRS) instrument on the polar-orbiting NOAA satellites. The channel provides quantitative information on thin cirrus clouds and supports the discrimination between ice and water clouds.
	Meteosat 8 SEVIRI Full Disk B08 IR Ozone (9.7um) [Met8-SEVIRI-FD-BAND08] IR9.7: Known from HIRS and current GOES satellites. Ozone radiances could be used as an input to numerical weather pre diction (NWP). As an experi mental channel, it will be used for tracking ozone patterns that... IR9.7: Known from HIRS and current GOES satellites. Ozone radiances could be used as an input to numerical weather pre diction (NWP). As an experi mental channel, it will be used for tracking ozone patterns that should be representative for wind motion in the lower strato sphere. The evolution of the to tal ozone field with time can also be monitored.
	Meteosat 8 SEVIRI Full Disk B09 IR Clean (10.8um) [Met8-SEVIRI-FD-BAND09] IR10.8: Well-known split window channel (e.g., AVHRR). Essential for measur ing sea and land surface and cloud-top temperatures; also for the detection of cirrus cloud (e.g., Inoue 1987) and volcanic ash clouds (Prata... IR10.8: Well-known split window channel (e.g., AVHRR). Essential for measur ing sea and land surface and cloud-top temperatures; also for the detection of cirrus cloud (e.g., Inoue 1987) and volcanic ash clouds (Prata 1989).
	Meteosat 8 SEVIRI Full Disk B09 IR Clean (10.8um) enhanced [Met8-SEVIRI-FD-BAND09-enh] IR10.8: Well-known split window channel (e.g., AVHRR). Essential for measur ing sea and land surface and cloud-top temperatures; also for the detection of cirrus cloud (e.g., Inoue 1987) and volcanic ash clouds (Prata... IR10.8: Well-known split window channel (e.g., AVHRR). Essential for measur ing sea and land surface and cloud-top temperatures; also for the detection of cirrus cloud (e.g., Inoue 1987) and volcanic ash clouds (Prata 1989).
	Meteosat 8 SEVIRI Full Disk B10 IR Dirty (12.0 um) [Met8-SEVIRI-FD-BAND10] IR12.0: Well-known split window channel (e.g., AVHRR). Essential for measur ing sea and land surface and cloud-top temperatures; also for the detection of cirrus cloud (e.g., Inoue 1987) and volcanic ash clouds (Prata... IR12.0: Well-known split window channel (e.g., AVHRR). Essential for measur ing sea and land surface and cloud-top temperatures; also for the detection of cirrus cloud (e.g., Inoue 1987) and volcanic ash clouds (Prata 1989).
	Meteosat 8 SEVIRI Full Disk B11 IR CO2(13.4UM) [Met8-SEVIRI-FD-BAND11] IR13.4: The CO2 absorption channel known from the former GOES VISSR Atmospheric Sounder (VAS) instrument, where VISSR stands for Vis ible Infrared Spin-Scan Radiometer. It improves height allocation of tenuous... IR13.4: The CO2 absorption channel known from the former GOES VISSR Atmospheric Sounder (VAS) instrument, where VISSR stands for Vis ible Infrared Spin-Scan Radiometer. It improves height allocation of tenuous cirrus clouds (Menzel et al. 1983). In cloud-free areas, it will contribute to temperature information from the lower tro posphere that can be used for estimating static in-stability.
	Meteosat 8 SEVIRI Full Disk B12 Vis HRV (0.7um) [Met8-SEVIRI-HRV-BAND12] The high-resolution visible (HRV) channel covers half of the full disk in the east–west direction and a full disk in the north–south direction (see Fig. 3). The high-resolution visible channel has a spatial resolution... The high-resolution visible (HRV) channel covers half of the full disk in the east–west direction and a full disk in the north–south direction (see Fig. 3). The high-resolution visible channel has a spatial resolution of 1.67 km, as the oversampling factor is 1.67 the sampling distance is 1 km at nadir.

	Meteosat 11 SEVIRI Full Disk B01 Vis (0.6um) [Met11-SEVIRI-FD-BAND01] VIS0.6: Known from the Advanced Very High Resolution Radiometer (AVHRR) of the polar-orbiting NOAA satellites. It is essential for cloud detection, cloud tracking, scene identification, aerosol, and land surface and veg... VIS0.6: Known from the Advanced Very High Resolution Radiometer (AVHRR) of the polar-orbiting NOAA satellites. It is essential for cloud detection, cloud tracking, scene identification, aerosol, and land surface and veg etation monitoring.
	Meteosat 11 SEVIRI Full Disk B02 Vis (0.8um) [Met11-SEVIRI-FD-BAND02] VIS0.8: Known from the Advanced Very High Resolution Radiometer (AVHRR) of the polar-orbiting NOAA satellites. It is essential for cloud detection, cloud tracking, scene identification, aerosol, and land surface and veg... VIS0.8: Known from the Advanced Very High Resolution Radiometer (AVHRR) of the polar-orbiting NOAA satellites. It is essential for cloud detection, cloud tracking, scene identification, aerosol, and land surface and veg etation monitoring.
	Meteosat 11 SEVIRI Full Disk B03 NIR (1.6um) [Met11-SEVIRI-FD-BAND03] NIR1.6: Discriminates between snow and cloud, ice and water clouds, and provides aerosol infor mation. Observations are, among others, available from the Along Track Scanning Radiometer (ATSR) on the Earth Remote Sensing... NIR1.6: Discriminates between snow and cloud, ice and water clouds, and provides aerosol infor mation. Observations are, among others, available from the Along Track Scanning Radiometer (ATSR) on the Earth Remote Sensing Satellite (ERS).
	Meteosat 11 SEVIRI Full Disk B04 IR Fire (3.9um) [Met11-SEVIRI-FD-BAND04] IR3.9: Known from AVHRR. Primarily for low cloud and fog detection (Eyre et al. 1984; Lee et al. 1997). Also supports measurement of land and sea surface temperature at night and increases the low- level wind coverage... IR3.9: Known from AVHRR. Primarily for low cloud and fog detection (Eyre et al. 1984; Lee et al. 1997). Also supports measurement of land and sea surface temperature at night and increases the low- level wind coverage from cloud tracking (Velden et al. 2001). For MSG, the spectral band has been broadened to longer wavelengths to improve signal-to-noise ratio.
	Meteosat 11 SEVIRI Full Disk B05 WV High (6.2um) [Met11-SEVIRI-FD-BAND05] WV6.2: Continues mission of Meteosat broadband water vapor channel for observing water vapor and winds. Enhanced to two channels peaking at different levels in the tropo sphere. Also supports height allocation of... WV6.2: Continues mission of Meteosat broadband water vapor channel for observing water vapor and winds. Enhanced to two channels peaking at different levels in the tropo sphere. Also supports height allocation of semitransparent clouds (Nieman et al. 1993; Schmetz et al. 1993).
	Meteosat 11 SEVIRI Full Disk B05 WV High (6.2um) enhanced [Met11-SEVIRI-FD-BAND05-enh] WV6.2: Continues mission of Meteosat broadband water vapor channel for observing water vapor and winds. Enhanced to two channels peaking at different levels in the tropo sphere. Also supports height allocation of... WV6.2: Continues mission of Meteosat broadband water vapor channel for observing water vapor and winds. Enhanced to two channels peaking at different levels in the tropo sphere. Also supports height allocation of semitransparent clouds (Nieman et al. 1993; Schmetz et al. 1993).
	Meteosat 11 SEVIRI Full Disk B06 WV Mid (7.3um) [Met11-SEVIRI-FD-BAND06] WV7.3: Continues mission of Meteosat broadband water vapor channel for ob serving water vapor and winds. Enhanced to two channels peaking at different levels in the tropo sphere. Also supports height allocation of... WV7.3: Continues mission of Meteosat broadband water vapor channel for ob serving water vapor and winds. Enhanced to two channels peaking at different levels in the tropo sphere. Also supports height allocation of semitransparent clouds (Nieman et al. 1993; Schmetz et al. 1993).
	Meteosat 11 SEVIRI Full Disk B07 IR Phase (8.7 um) [Met11-SEVIRI-FD-BAND07] IR8.7: Known from the High Resolution Infrared Sounder (HIRS) instrument on the polar-orbiting NOAA satellites. The channel provides quantitative information on thin cirrus clouds and supports the discrimination between... IR8.7: Known from the High Resolution Infrared Sounder (HIRS) instrument on the polar-orbiting NOAA satellites. The channel provides quantitative information on thin cirrus clouds and supports the discrimination between ice and water clouds.
	Meteosat 11 SEVIRI Full Disk B08 IR Ozone (9.7um) [Met11-SEVIRI-FD-BAND08] IR9.7: Known from HIRS and current GOES satellites. Ozone radiances could be used as an input to numerical weather pre diction (NWP). As an experi mental channel, it will be used for tracking ozone patterns that... IR9.7: Known from HIRS and current GOES satellites. Ozone radiances could be used as an input to numerical weather pre diction (NWP). As an experi mental channel, it will be used for tracking ozone patterns that should be representative for wind motion in the lower strato sphere. The evolution of the to tal ozone field with time can also be monitored.
	Meteosat 11 SEVIRI Full Disk B09 IR Clean (10.8um) [Met11-SEVIRI-FD-BAND09] IR10.8: Well-known split window channel (e.g., AVHRR). Essential for measur ing sea and land surface and cloud-top temperatures; also for the detection of cirrus cloud (e.g., Inoue 1987) and volcanic ash clouds (Prata... IR10.8: Well-known split window channel (e.g., AVHRR). Essential for measur ing sea and land surface and cloud-top temperatures; also for the detection of cirrus cloud (e.g., Inoue 1987) and volcanic ash clouds (Prata 1989).
	Meteosat 11 SEVIRI Full Disk B09 IR Clean (10.8um) enhanced [Met11-SEVIRI-FD-BAND09-enh] IR10.8: Well-known split window channel (e.g., AVHRR). Essential for measur ing sea and land surface and cloud-top temperatures; also for the detection of cirrus cloud (e.g., Inoue 1987) and volcanic ash clouds (Prata... IR10.8: Well-known split window channel (e.g., AVHRR). Essential for measur ing sea and land surface and cloud-top temperatures; also for the detection of cirrus cloud (e.g., Inoue 1987) and volcanic ash clouds (Prata 1989).
	Meteosat 11 SEVIRI Full Disk B10 IR Dirty (12.0um) [Met11-SEVIRI-FD-BAND10] IR12.0: Well-known split window channel (e.g., AVHRR). Essential for measur ing sea and land surface and cloud-top temperatures; also for the detection of cirrus cloud (e.g., Inoue 1987) and volcanic ash clouds (Prata... IR12.0: Well-known split window channel (e.g., AVHRR). Essential for measur ing sea and land surface and cloud-top temperatures; also for the detection of cirrus cloud (e.g., Inoue 1987) and volcanic ash clouds (Prata 1989).
	Meteosat 11 SEVIRI Full Disk B11 IR CO2 (13.4um) [Met11-SEVIRI-FD-BAND11] IR13.4: The CO2 absorption channel known from the former GOES VISSR Atmospheric Sounder (VAS) instrument, where VISSR stands for Vis ible Infrared Spin-Scan Radiometer. It improves height allocation of tenuous... IR13.4: The CO2 absorption channel known from the former GOES VISSR Atmospheric Sounder (VAS) instrument, where VISSR stands for Vis ible Infrared Spin-Scan Radiometer. It improves height allocation of tenuous cirrus clouds (Menzel et al. 1983). In cloud-free areas, it will contribute to temperature information from the lower tro posphere that can be used for estimating static in-stability.
	Meteosat 11 SEVIRI Full Disk B12 Vis HRV (0.7um) [Met11-SEVIRI-HRV-BAND12] The high-resolution visible (HRV) channel covers half of the full disk in the east–west direction and a full disk in the north–south direction (see Fig. 3). The high-resolution visible channel has a spatial resolution... The high-resolution visible (HRV) channel covers half of the full disk in the east–west direction and a full disk in the north–south direction (see Fig. 3). The high-resolution visible channel has a spatial resolution of 1.67 km, as the oversampling factor is 1.67 the sampling distance is 1 km at nadir.

	CMORPH2 1-Day Precip Accumulation [c2accum1dy] This satellite-derived precipitation product represents global 1-day accumulation. The second generation CMORPH (CMORPH2) has started test real-time production of 30-minute precipitation estimates on a 0.05-degree... This satellite-derived precipitation product represents global 1-day accumulation. The second generation CMORPH (CMORPH2) has started test real-time production of 30-minute precipitation estimates on a 0.05-degree lat/lon grid over the entire globe, from pole-to-pole. The CMORPH2 is built upon the Kalman Filter based CMORPH algorithm of Joyce and Xie (2011). Inputs to the system include various rainfall and snowfall rate retrievals from passive microwave (PMW) measurements aboard all available polar or "low earth" (LEO) satellites, precipitation estimates derived from infrared (IR) observations of geostationary (GEO) and LEO platforms, and model precipitation forecast from the NCEP operational global forecast system (GFS).
	CMORPH2 1-Hour Precip Accumulation [c2accum1hr] This satellite-derived precipitation product represents global 1-hour accumulation. The second generation CMORPH (CMORPH2) has started test real-time production of 30-minute precipitation estimates on a 0.05-degree... This satellite-derived precipitation product represents global 1-hour accumulation. The second generation CMORPH (CMORPH2) has started test real-time production of 30-minute precipitation estimates on a 0.05-degree lat/lon grid over the entire globe, from pole-to-pole. The CMORPH2 is built upon the Kalman Filter based CMORPH algorithm of Joyce and Xie (2011). Inputs to the system include various rainfall and snowfall rate retrievals from passive microwave (PMW) measurements aboard all available polar or "low earth" (LEO) satellites, precipitation estimates derived from infrared (IR) observations of geostationary (GEO) and LEO platforms, and model precipitation forecast from the NCEP operational global forecast system (GFS).
	CMORPH2 7-Day Precip Accumulation [c2accum7dy] This satellite-derived precipitation product represents global 7-day accumulation. The second generation CMORPH (CMORPH2) has started test real-time production of 30-minute precipitation estimates on a 0.05-degree... This satellite-derived precipitation product represents global 7-day accumulation. The second generation CMORPH (CMORPH2) has started test real-time production of 30-minute precipitation estimates on a 0.05-degree lat/lon grid over the entire globe, from pole-to-pole. The CMORPH2 is built upon the Kalman Filter based CMORPH algorithm of Joyce and Xie (2011). Inputs to the system include various rainfall and snowfall rate retrievals from passive microwave (PMW) measurements aboard all available polar or "low earth" (LEO) satellites, precipitation estimates derived from infrared (IR) observations of geostationary (GEO) and LEO platforms, and model precipitation forecast from the NCEP operational global forecast system (GFS).

	24hr Snow Depth [SNOWDEPTH24] 24hr SnowDepth (in) 24hr SnowDepth (in)
	24hr Snow Fall [SNOWFALL24] 24hr SnowFall (in) 24hr SnowFall (in)
	Fronts and Troughs [Fronts] NCEP Frontal Analysis: fronts and troughs NCEP Frontal Analysis: fronts and troughs
	Low/High Pressure [HighLow] NCEP Frontal Analysis: Highs and Lows NCEP Frontal Analysis: Highs and Lows
	METAR [SSEC-METAR] Global METAR Global METAR
	Pilot Reports [PIREP] PIREP PIREP
	Ship & Buoy [SSEC-ShipBuoy] Global Ship & Buoy Global Ship & Buoy
	Snow Depth (SNODAS) [SNODAS-Thickness] SNODAS (SNOw Data Assimilation System) is a modeling and data assimilation system developed by NOAA National Weather Service"s NOHRSC (National Operational Hydrologic Remote Sensing Center) to provide the best possible... SNODAS (SNOw Data Assimilation System) is a modeling and data assimilation system developed by NOAA National Weather Service"s NOHRSC (National Operational Hydrologic Remote Sensing Center) to provide the best possible estimates of snow cover and associated parameters to support hydrologic modeling and analysis. The aim of SNODAS is to provide a physically consistent framework to integrate snow data from satellite, airborne platforms, and ground stations with model estimates of snow cover. The 24hr Snow Thickness is a daily snapshot of snow thickness at 0600hr UTC.
	Snowfall Total - 24hr (SNODAS) [SNODAS-Accumulate] SNODAS (SNOw Data Assimilation System) is a modeling and data assimilation system developed by NOAA National Weather Service"s NOHRSC (National Operational Hydrologic Remote Sensing Center) to provide the best possible... SNODAS (SNOw Data Assimilation System) is a modeling and data assimilation system developed by NOAA National Weather Service"s NOHRSC (National Operational Hydrologic Remote Sensing Center) to provide the best possible estimates of snow cover and associated parameters to support hydrologic modeling and analysis. The aim of SNODAS is to provide a physically consistent framework to integrate snow data from satellite, airborne platforms, and ground stations with model estimates of snow cover. 24hr Snow Fall Total is calculated every 24 hours at 0600hr UTC and posted shortly thereafter.
	Storm Reports 3hrs [StormReports] Storm Reports (last 3hrs) Storm Reports (last 3hrs)
	Surface Observations (METAR) [NOAA-SurfaceObs] NOAA Surface Observations NOAA Surface Observations
	Terminal Area Forecasts [TAF] Terminal Aerodrome Forecast (TAF) Terminal Aerodrome Forecast (TAF)

	DNB ClearView Monthly - Test [dnb-monthly-nightlights]
	Alaska-western Canada LightningCast sector [AKCAN-boundary]
	Aviation - lightning dashboards [LCMETEOGRAMS]
	Current Fire Incidents: lightning dashboards [CURRENTNIFC] LightningCast and GLM meteograms for current fire incidents. LightningCast and GLM meteograms for current fire incidents.
	G16-C-BAND02 [G16-C-BAND02]
	G16-C-BAND13 [G16-C-BAND13]
	G16-GLM-FOV [G16-GLM-FOV] GOES-East Geostationary Lightning Mapper (GLM) field-of-view GOES-East Geostationary Lightning Mapper (GLM) field-of-view
	G17-C-BAND02 [G17-C-BAND02]
	G17-C-BAND13 [G17-C-BAND13]
	G17-GLM-FOV [G17-GLM-FOV] GOES-West Geostationary Lightning Mapper (GLM) field-of-view GOES-West Geostationary Lightning Mapper (GLM) field-of-view
	GOES-18 LightningCast parallax-corrected Full Disk [G18-LC-plax-corr-RadF] GOES-18 LightningCast parallax-corrected Full Disk GOES-18 LightningCast parallax-corrected Full Disk
	GOES-East GLM FED CONUS (Archive) [GOESEastGLMFEDRadC-ARCHIVE]
	GOES-East GLM MFA CONUS [GOESEastGLMMFARadC] GOES-East minimum flash density GOES-East minimum flash density
	GOES-East GLM TOE CONUS [GOESEastGLMTOERadC] GOES-East total optical energy, in femto Joules (fJ). GOES-East total optical energy, in femto Joules (fJ).
	GOES-West GLM FED PACUS (Archive) [GOESWestGLMFEDRadC-ARCHIVE]
	GOES-West GLM FED U.S. Samoa [GOESWestGLMFED-USSAMOA]
	Guam LightningCast sector [GUAM-boundary]
	LightningCast 10fl-60min GOES-East CONUS [PLTG-10fl-60min-GOESEastRadC] P(10fl/5min in next 60min) P(10fl/5min in next 60min)
	LightningCast G16 CONUS (Archived) [LC-G16-RadC]
	LightningCast G17 CONUS (Archived) [LC-G17-RadC]
	LightningCast GOES-East RadM2 Gridded [PLTGGOESEastRadM2Gridded] An AI model that predicts the probability of lightning in the next 60 minutes using GOES-R ABI data. An AI model that predicts the probability of lightning in the next 60 minutes using GOES-R ABI data.
	LightningCast GOES-Test CONUS [PLTGGOESTestRadC] GOES-19 GOES-19
	LightningCast Himawari Guam [PLTGAHIJAPANFLDKGUAM] An AI model that predicts the probability of lightning in the next 60 minutes using Himawari AHI data. An AI model that predicts the probability of lightning in the next 60 minutes using Himawari AHI data.
	NIFC events (archive) [ARCHIVENIFC]
	NWS County Warning Areas [NWSCWA] NWS County Warning Areas NWS County Warning Areas
	OPC & TAFB Offshore Zones [OFFSHOREZONES]
	PROBSEVTESTACCUM [PROBSEVTESTACCUM]
	PROBSEVTESTACCUMLOW [PROBSEVTESTACCUMLOW]
	PROBTOR [PROBTOR]
	PROBTORACCUM [PROBTORACCUM]
	PSCNN [PSCNN]
	PSNSSL [PSNSSL]
	Stadiums - lightning dashboards [STADIUMS]
	U.S. Samoa LightningCast sector [USSAMOA-boundary]
	Vermont Flooding 2023 - Color Infrared [vt-floods-2023-CIR] Sentinel 2a captured this image of flooding in Vermont on July 11, 2023 at 11:38am local time. This image represents bands 8, 4, and 3 as RGB showing vegetation in red and water in black or gray. Source: Copernicus Open... Sentinel 2a captured this image of flooding in Vermont on July 11, 2023 at 11:38am local time. This image represents bands 8, 4, and 3 as RGB showing vegetation in red and water in black or gray. Source: Copernicus Open Access Hub.
	Vermont Flooding 2023 - Natural Color [vt-floods-2023] Sentinel 2a captured this image of flooding in Vermont on July 11, 2023 at 11:38am local time. This image represents bands 4, 3, and 2 as RGB to approximate true color. Source: Copernicus Open Access Hub. Sentinel 2a captured this image of flooding in Vermont on July 11, 2023 at 11:38am local time. This image represents bands 4, 3, and 2 as RGB to approximate true color. Source: Copernicus Open Access Hub.
	Vermont Flooding 2023 - Normalized Difference [vt-floods-2023-nbr] These images were produced from Sentinel 2a imagery with Google Earth Engine and represent normalized differences between the 10-meter green band (B3) and 20-meter SWIR2 band (B12). Clouds have been masked. The "before"... These images were produced from Sentinel 2a imagery with Google Earth Engine and represent normalized differences between the 10-meter green band (B3) and 20-meter SWIR2 band (B12). Clouds have been masked. The "before" image is a composite marked as June 11, 2023 00:00UTC. The "after" image was captured July 11, 2023 11:38am EDT. Switching between the two time steps highlights new water in dark blue. Credit: Danielle Losos - SSEC/CIMSS University of Wisconsin-Madison
	Historic Fire Scars (MTBS) [historic-fire-scars-conus] These data come from the interagency MTBS (Monitoring Trends in Burn Severity) program through their direct download service. These data come from the interagency MTBS (Monitoring Trends in Burn Severity) program through their direct download service.

	AQUA Orbit [POESNAV-AQUA]
	Landsat-8 Orbit [POESNAV-LSAT8]
	Landsat-9 Orbit [POESNAV-LSAT9] Orbit track for Landsat 9 Orbit track for Landsat 9
	NOAA-15 Orbit [POESNAV-N15]
	NOAA-18 Orbit [POESNAV-N18]
	NOAA-20 Orbit [POESNAV-N20]
	NOAA-21 Orbit [POESNAV-N21] POESNAV-N21 POESNAV-N21
	SENTINEL 2A Orbit [POESNAV-SEN2A] POESNAV-SEN2A POESNAV-SEN2A
	SENTINEL 2B Orbit [POESNAV-SEN2B] POESNAV-SEN2B POESNAV-SEN2B
	SNPP Orbit [POESNAV-NPP]
	TERRA Orbit [POESNAV-TERRA]

	Excessive Rain Forecast [WPC-ExcessiveRain] WPC-ExcessiveRain WPC-ExcessiveRain
	Hydro Estimator Rainfall [NESDIS-GHE-HourlyRainfall] The HE algorithm uses infrared (IR) brightness temperatures to identify regions of rainfall and retrieve rainfall rate, while using National Centers for Environmental Prediction (NCEP) Global Forecast System (GFS)... The HE algorithm uses infrared (IR) brightness temperatures to identify regions of rainfall and retrieve rainfall rate, while using National Centers for Environmental Prediction (NCEP) Global Forecast System (GFS) model fields to account for the effects of moisture availability, evaporation, orographic modulation, and thermodynamic profile effects. Estimates of rainfall from satellites can provide critical rainfall information in regions where data from gauges or radar are unavailable or unreliable, such as over oceans or sparsely populated regions.
	Precip. Probability >= 0.5"/24h [WPC-pqpf24ge0p5]
	Precip. Probability >= 0.25"/24h [WPC-pqpf24ge0p25]
	Precip. Probability >= 1.0"/24h [WPC-pqpf24ge1]
	Precip. Probability >= 1.5"/24h [WPC-pqpf24ge1p5]
	Precip. Probability >= 2.0"/24h [WPC-pqpf24ge2]
	Precip. Probability >= 2.5"/24h [WPC-pqpf24ge2p5]
	Precip. Probability >= 3.0"/24h [WPC-pqpf24ge3]
	Precip. Probability >= 4.0"/24h [WPC-pqpf24ge4]
	Precip. Probability >= 5.0"/24h [WPC-pqpf24ge5]
	Precip. Probability >= 6.0"/24h [WPC-pqpf24ge6]
	Precip. Probability >= 8.0"/24h [WPC-pqpf24ge8]
	Precip. Probability >= 16.0"/24h [WPC-pqpf24ge16]
	Quantitative Precipitation Forecast [WPC-QPF] WPC-QPF WPC-QPF
	Snow Fall Rate [NESDIS-SnowFallRate] AMSU Snow Fall Rate Global by NOAA-NESDIS AMSU Snow Fall Rate Global by NOAA-NESDIS

	HRRR ConUS Latest Simulated Radar [HRR-CONUS-RADAR-LATEST] View of HRR-CONUS-PCP-SFC View of HRR-CONUS-PCP-SFC
	RAP ConUS Latest Simulated Radar [RAP-CONUS-PRAT-SFC-DBZ] View of RAP-CONUS-PRAT-SFC View of RAP-CONUS-PRAT-SFC
	Storm Cell ID and Tracking - Filter 1 [SCIT-ALL] Storm Cell Identification and Tracking (SCIT) Filters 1\| ALL Cells 2\| Moderate Threat level Cells 3\| Severe Threat level Cells Storm Cell Identification and Tracking (SCIT) Filters 1\| ALL Cells 2\| Moderate Threat level Cells 3\| Severe Threat level Cells
	Storm Cell ID and Tracking - Filter 2 [SCIT-MOD] Storm Cell Identification and Tracking (SCIT) Filters 1\| ALL Cells 2\| Moderate Threat level Cells 3\| Severe Threat level Cells Storm Cell Identification and Tracking (SCIT) Filters 1\| ALL Cells 2\| Moderate Threat level Cells 3\| Severe Threat level Cells
	Storm Cell ID and Tracking - Filter 3 [SCIT-SEV] Storm Cell Identification and Tracking (SCIT) Filters 1\| ALL Cells 2\| Moderate Threat level Cells 3\| Severe Threat level Cells Storm Cell Identification and Tracking (SCIT) Filters 1\| ALL Cells 2\| Moderate Threat level Cells 3\| Severe Threat level Cells
	Storm Cell ID and Tracking - Forecast 2 [SCIT-MOD-FCST] Storm Cell Identification and Tracking (SCIT) Filter2 - 15min Forecast Trajectories 1\| ALL Cells 2\| Moderate Threat level Cells 3\| Severe Threat level Cells Storm Cell Identification and Tracking (SCIT) Filter2 - 15min Forecast Trajectories 1\| ALL Cells 2\| Moderate Threat level Cells 3\| Severe Threat level Cells
	MRMS MergedReflectivity [MERGEDREF] Multi-Radar/Multi-Sensor MergedReflectivityQCComposite Multi-Radar/Multi-Sensor MergedReflectivityQCComposite
	ProbSevere (version 3) [PROBSEVEREV3] PSv3 models use a machine-learning model called gradient-boosted decision trees. PSv3 models use a machine-learning model called gradient-boosted decision trees.
	National Reflectivity MRMS Composite [nexrcomp] The Multi-Radar Multi-Sensor (MRMS) system is now operational at the National Centers for Environmental Prediction (NCEP). The MRMS system consists of the Warning Decision Support System–Integrated Information... The Multi-Radar Multi-Sensor (MRMS) system is now operational at the National Centers for Environmental Prediction (NCEP). The MRMS system consists of the Warning Decision Support System–Integrated Information suite of severe weather and aviation products and the quantitative precipitation estimation (QPE) products created by the National Mosaic and Multi-Sensor QPE system. The MRMS system provides operational guidance for severe convective weather, QPE, and aviation hazards on a seamless three-dimensional grid that is created at a spatial resolution of 0.01° latitude × 0.01° longitude, with 33 vertical levels, every 2 min over the conterminous United States (CONUS) and southern Canada.
	National Reflectivity MRMS Composite mask [nexrrain] The Multi-Radar Multi-Sensor (MRMS) system is now operational at the National Centers for Environmental Prediction (NCEP). The MRMS system consists of the Warning Decision Support System–Integrated Information... The Multi-Radar Multi-Sensor (MRMS) system is now operational at the National Centers for Environmental Prediction (NCEP). The MRMS system consists of the Warning Decision Support System–Integrated Information suite of severe weather and aviation products and the quantitative precipitation estimation (QPE) products created by the National Mosaic and Multi-Sensor QPE system. The MRMS system provides operational guidance for severe convective weather, QPE, and aviation hazards on a seamless three-dimensional grid that is created at a spatial resolution of 0.01° latitude × 0.01° longitude, with 33 vertical levels, every 2 min over the conterminous United States (CONUS) and southern Canada.
	NEXRAD Alaska Base Reflectivity [NEXRAD-Alaska] WSR 88D NEXRAD Radar Mosiac Base Reflectivity Tilt 1 for Alaska Region. Bethel (KABC) Sitka (KACG) Nome (KAEC) Anchorage (KANG) Middleton Island (KAIH) King Salmon (KAKC) Fairbanks (KAPD) WSR 88D NEXRAD Radar Mosiac Base Reflectivity Tilt 1 for Alaska Region. Bethel (KABC) Sitka (KACG) Nome (KAEC) Anchorage (KANG) Middleton Island (KAIH) King Salmon (KAKC) Fairbanks (KAPD)
	NEXRAD antenna coverage [NEXRADrange] NEXRAD: 124NMI coverage NEXRAD: 124NMI coverage
	NEXRAD antenna locations [NEXRADsite] NEXRAD sites and status NEXRAD sites and status
	NEXRAD CanAm Precipitation Phase [nexrphase] NEXRAD CanAm Precipitation Phase NEXRAD CanAm Precipitation Phase
	NEXRAD ConUS 1hr Precipitation Total [nexr1hpcp] One-Hour Precipitation (N1P/78) This product displays estimated one-hour precipitation accumulation on a 1.1-nm x 1-degree grid using the Precipitation Processing System (PPS) algorithm. This product assesses... One-Hour Precipitation (N1P/78) This product displays estimated one-hour precipitation accumulation on a 1.1-nm x 1-degree grid using the Precipitation Processing System (PPS) algorithm. This product assesses rainfall intensities for flash flood warnings, urban flood statements, and special weather statements.
	NEXRAD ConUS Digital Integrated Liquid [nexrdvl] This product color codes and plots the water content of a 2.2 x 2.2 nautical mile (nm) column of air. It is an effective hail indicator that can be used to locate most significant storms and identify areas of heavy... This product color codes and plots the water content of a 2.2 x 2.2 nautical mile (nm) column of air. It is an effective hail indicator that can be used to locate most significant storms and identify areas of heavy rainfall. The DVL version of the product provides a higher spatial resolution and enhanced processing.
	NEXRAD ConUS Enhanced Echo Tops [nexreet] This product generates a color coded image that shows the height of an echo top. Scientists use this product to quickly estimate the most intense convection and higher echo tops, as an aid to identify storm structure... This product generates a color coded image that shows the height of an echo top. Scientists use this product to quickly estimate the most intense convection and higher echo tops, as an aid to identify storm structure features, and for pilot briefing purposes. The EET version of the product provided a higher spatial resolution, and enhanced processing, including identification of weather that is higher than the radar can scan.
	NEXRAD ConUS Hybrid Hydrometeor Class [nexrhhc] Hydrometeor Classification is a computer algorithm output that tries to classify targets in the radar volume. The product compares targets to a set of predefined categories, and displays a list of the most likely echo... Hydrometeor Classification is a computer algorithm output that tries to classify targets in the radar volume. The product compares targets to a set of predefined categories, and displays a list of the most likely echo sources.
	NEXRAD ConUS Hybrid Hydrometeor Phase mask [nexrhhc-phase] View of nexrhhc View of nexrhhc
	NEXRAD ConUS Hybrid Reflectivity [nexrdhr] The same as NR products, except data values are actual reflectivity values instead of categories, data extends to further range, and additional elevations are available. Products from elevation angles at or below 3.5... The same as NR products, except data values are actual reflectivity values instead of categories, data extends to further range, and additional elevations are available. Products from elevation angles at or below 3.5 degrees are available, and select sites may also scan at an additional low elevation angle, as low as -0.2 degrees. Specific elevation angles depend on the site and scanning mode of the Radar.
	NEXRAD ConUS Hybrid Reflectivity mask [nexrhres] Values are actual reflectivity values instead of categories, data extends to further range, and additional elevations are available. Products from elevation angles at or below 3.5 degrees are available, and select sites... Values are actual reflectivity values instead of categories, data extends to further range, and additional elevations are available. Products from elevation angles at or below 3.5 degrees are available, and select sites may also scan at an additional low elevation angle, as low as -0.2 degrees. Specific elevation angles depend on the site and scanning mode of the Radar.
	NEXRAD ConUS Storm Total Precipitation [nexrstorm] Storm Total Precipitation (NTP/80) This product uses the PPS algorithm to create a continuously updated estimate of a storm’s accumulated precipitation. Accumulation is tracked on a 1.1 nm x 1 degree grid.... Storm Total Precipitation (NTP/80) This product uses the PPS algorithm to create a continuously updated estimate of a storm’s accumulated precipitation. Accumulation is tracked on a 1.1 nm x 1 degree grid. Scientists use this product to locate flood potential over urban or rural areas, estimate total basin runoff, and provide rainfall data 24 hours a day.
	NEXRAD Guam Base Reflectivity [NEXRAD-Guam] NEXRAD Guam Base Reflectivity NEXRAD Guam Base Reflectivity
	NEXRAD Hawaii Base Reflectivity [NEXRAD-Hawaii] NEXRAD Hawaii Base Reflectivity NEXRAD Hawaii Base Reflectivity
	NEXRAD Puerto Rico Base Reflectivity [NEXRAD-PuertoRico] WSR 88D NEXRAD Radar Base Reflectivity Tilt 1 for San Juan, Puerto Rico WSR 88D NEXRAD Radar Base Reflectivity Tilt 1 for San Juan, Puerto Rico

	Cloud Top Cooling targets [CIMSS-CTCtargets] CIMSS-Cloud Top Cooling targets CIMSS-Cloud Top Cooling targets
	Convective Outlook Day1 [SPCcoday1] Convective Outlook Day1 (Category) id=SPCcoday1 Convective Outlook Day1 (Category) id=SPCcoday1
	Convective Outlook Day2 [SPCcoday2] Convective Outlook Day2 (Category) Convective Outlook Day2 (Category)
	Convective Outlook Day3 [SPCcoday3] Convective Outlook Day3 (Categorical) Convective Outlook Day3 (Categorical)
	Fire Weather Outlook Day1 [SPCfwday1] Fire Weather Outlook Day1 (Category) Fire Weather Outlook Day1 (Category)
	Fire Weather Outlook Day2 [SPCfwday2] Fire Weather Outlook Day2 (Category) Fire Weather Outlook Day2 (Category)
	Flash Flood Hazards (Zones) [WFLASH] Flash Flood Hazards Flash Flood Hazards
	Flood Warnings (Issued) [FLOODWARN] Flood Warning Polygons Flood Warning Polygons
	Hail Outlook Day1 [SPChaday1] Hail Outlook Day1 (%) Hail Outlook Day1 (%)
	Overshooting Tops targets [CIMSS-OTtargets] Cloud OverShooting Tops targets Cloud OverShooting Tops targets
	Severe Weather Outlook Day2 [SPCsvday2] Severe Weather Outlook Day2 Severe Weather Outlook Day2
	Severe Weather Outlook Day3 [SPCsvday3] Severe Weather Outlook Day3 Severe Weather Outlook Day3
	Severe Weather Outlook Day4 [SPCsvday4] Severe Weather Outlook Day4 Severe Weather Outlook Day4
	Severe Weather Outlook Day5 [SPCsvday5] Severe Weather Outlook Day5 Severe Weather Outlook Day5
	Severe Weather Warning Outlines [SevereOutl] Tornado, Thunderstorm, Flash Flood and Marine Warnings (outlines only, no fill) Tornado, Thunderstorm, Flash Flood and Marine Warnings (outlines only, no fill)
	Severe Weather Warnings [Severe] Tornado, Thunderstorm, Flash Flood and Marine Warning polygons. Tornado, Thunderstorm, Flash Flood and Marine Warning polygons.
	Severe Weather Warning Vectors [SevereVect] Tornado and Thunderstorm Warning Vectors Tornado and Thunderstorm Warning Vectors
	Severe Weather Watch Box [SAW] Severe Weather Watch Box - Aviation Severe Weather Watch Box - Aviation
	Severe Wind Outlook Day1 [SPCwnday1] Severe Wind Outlook Day1 (%) Severe Wind Outlook Day1 (%)
	Storm Reports 3hrs [StormReports] Storm Reports (last 3hrs) Storm Reports (last 3hrs)
	Thunderstorm Watches/Warnings [WWSEVTRW] Thunderstorm Watches and Warnings Thunderstorm Watches and Warnings
	Tornado Outlook Day1 [SPCtnday1] Tornado Outlook Day1 (%) Tornado Outlook Day1 (%)
	Tornado Watches/Warnings [WWTORNADO] Tornado Watches and Warnings Tornado Watches and Warnings
	Tornado Watches and Warnings [WWTOR] Tornado Watches and Warnings Tornado Watches and Warnings
	IntenseStormNet -- GOES-East CONUS [ICP] Deep learning model that predicts where "intense" convection" is present, based on features that humans associate with intense convection. Deep learning model that predicts where "intense" convection" is present, based on features that humans associate with intense convection.
	IntenseStormNet -- GOES-East MESO1 [ICPRadM1] IntenseStormNet -- GOES East Mesoscale 1 IntenseStormNet -- GOES East Mesoscale 1
	IntenseStormNet -- GOES-East MESO2 [ICPRadM2] IntenseStormNet -- GOES East Mesoscale 2 IntenseStormNet -- GOES East Mesoscale 2
	MRMS MergedReflectivity [MERGEDREF] Multi-Radar/Multi-Sensor MergedReflectivityQCComposite Multi-Radar/Multi-Sensor MergedReflectivityQCComposite
	NWSWARNS12Z12Z [NWSWARNS12Z12Z] NWSWARNS12Z12Z (Severe and Tornado. No SVSs) NWSWARNS12Z12Z (Severe and Tornado. No SVSs)
	PROBSEVACCUM [PROBSEVACCUM] ≥ 50% ≥ 50%
	ProbSevere [ProbSevere] ProbSevere ProbSevere
	ProbSevere (version2) [PROBSEVERE] The probability of any severe is the max(ProbHail,ProbWind,ProbTor). The probability of any severe is the max(ProbHail,ProbWind,ProbTor).
	ProbSevere Accumulation 20% to 49% [PROBSEVACCUMLOW] ProbSevere Accumulation 20% to 49% ProbSevere Accumulation 20% to 49%
	PSNCO [PSNCO]
	SPC reports 12Z to 12Z [SPCREPS12Z12Z] SPCREPS12Z12Z SPCREPS12Z12Z
	SVRWARNS12Z12Z [SVRWARNS12Z12Z]
	TORWARNS12Z12Z [TORWARNS12Z12Z]

	Tropical Storm & Hurricane Forecast [TSFCST] National Hurricane Center Tropical Storm & Hurricane Forecast National Hurricane Center Tropical Storm & Hurricane Forecast
	TS HDOB - Atlantic points [TSHDOBATLparm] TS HDOB - Atlantic points TS HDOB - Atlantic points
	TS HDOB - Atlantic winds [TSHDOBATL] TS HDOB - Atlantic winds TS HDOB - Atlantic winds
	TS HDOB - EPacific points [TSHDOBEPACparm] TS HDOB - EPacific points TS HDOB - EPacific points
	TS HDOB - EPacific winds [TSHDOBEPAC] TS HDOB - EPacific winds TS HDOB - EPacific winds

	DNB ClearView [DNB-ClearView] DNB-ClearView DNB-ClearView
	NOAA20 VIIRS DNB (Swaths) Global [j01-viirs-dnb-swath] View of j01-viirs-bands-night-swath View of j01-viirs-bands-night-swath
	NOAA20 VIIRS False Color (Daily) Global [j01-viirs-false-color-daily] View of j01-viirs-false-color-swath View of j01-viirs-false-color-swath
	NOAA20 VIIRS False Color (Swaths) Global [j01-viirs-false-color-swath] View of j01-viirs-false-color View of j01-viirs-false-color
	NOAA20 VIIRS M-Band Fire RGB (Swaths) Global [j01-viirs-swath-fire-color] This image is made by on-the-fly combining VIIRS bands M11 (2.25um) as red, M7 (8.66um) as green, and M4 (5.55) as blue. Because the M11 shortwave infrared band is sensitive to bright fires, it highlights active especially... This image is made by on-the-fly combining VIIRS bands M11 (2.25um) as red, M7 (8.66um) as green, and M4 (5.55) as blue. Because the M11 shortwave infrared band is sensitive to bright fires, it highlights active especially hot fires in red while preserving a natural color appearance in the rest of the image.
	NOAA20 VIIRS M-Band Fire Temp (Swaths) Global [j01-viirs-swath-fire-temp] On-the-fly combination of bands 11, 10, 12. On-the-fly combination of bands 11, 10, 12.
	NOAA20 VIIRS True Color (Daily) Global [j01-viirs-true-color-daily] View of j01-viirs-true-color-swath View of j01-viirs-true-color-swath
	NOAA20 VIIRS True Color (Swaths) Global [j01-viirs-true-color-swath] View of j01-viirs-true-color View of j01-viirs-true-color
	SNPP Day/Night AM Composite - Adaptive [nppadpam] NPP Day/Night AM Composite - Adaptive NPP Day/Night AM Composite - Adaptive
	SNPP Day/Night Band (DNB) - Honolulu DB [nppdnbdyn-hnl] NPP Day/Night Band (DNB) - Honolulu DB NPP Day/Night Band (DNB) - Honolulu DB
	SNPP Day/Night Band - Dynamic [nppdnb] NPP Day/Night Band - Dynamic NPP Day/Night Band - Dynamic
	SNPP False Color [nppfc] NPP False Color NPP False Color
	SNPP VIIRS True Color DB Hawaii [npptc-hnl] NPP True Color (TC) - Honolulu DB NPP True Color (TC) - Honolulu DB
	SNPP VIIRS True Color DB Puerto Rico [npptc-upr] NPP True Color (TC) - Puerto Rico DB NPP True Color (TC) - Puerto Rico DB
	VIIRS NDVI 16-day Composite DB ConUS [NDVI-16day-before] This CONUS NDVI product is clipped from the global VIIRS composite product VNP13A1-001 using AppEEARS at the NASA LPDAAC. The spatial resolution is 500m. It is made with in alternating 8-day cycles from best available... This CONUS NDVI product is clipped from the global VIIRS composite product VNP13A1-001 using AppEEARS at the NASA LPDAAC. The spatial resolution is 500m. It is made with in alternating 8-day cycles from best available pixels. See link below for more information.
	NOAA20 VIIRS I-Band02 DB ConUS [j01-viirs-i02-msn] j01-viirs-i02-msn j01-viirs-i02-msn
	NOAA20 VIIRS I-Band05 DB ConUS [j01-viirs-i05-msn] j01-viirs-i05-msn j01-viirs-i05-msn
	SNPP VIIRS DNB Adaptive DB ConUS [npp-viirs-adaptive-dnb-msn] npp-viirs-adaptive-dnb-msn npp-viirs-adaptive-dnb-msn
	SNPP VIIRS False Color (Daily) Global [npp-viirs-false-color-daily] View of npp-viirs-false-color-swath View of npp-viirs-false-color-swath
	SNPP VIIRS False Color (Swaths) Global [npp-viirs-false-color-swath] View of npp-viirs-false-color View of npp-viirs-false-color
	SNPP VIIRS Fire RGB (Swaths) Global [npp-viirs-swath-fire-color] View of npp-viirs-bands-day-swath View of npp-viirs-bands-day-swath
	SNPP VIIRS Fire Temp (Swaths) Global [npp-viirs-swath-fire-temp] View of npp-viirs-bands-day-swath View of npp-viirs-bands-day-swath
	SNPP VIIRS I-Band02 DB ConUS [npp-viirs-i02-msn] npp-viirs-i02-msn npp-viirs-i02-msn
	SNPP VIIRS I-Band05 DB ConUS [npp-viirs-i05-msn] npp-viirs-i05-msn npp-viirs-i05-msn
	SNPP VIIRS True Color (Daily) Global [npp-viirs-true-color-daily] View of npp-viirs-true-color-swath View of npp-viirs-true-color-swath
	SNPP VIIRS True Color (Swaths) Global [npp-viirs-true-color-swath] View of npp-viirs-true-color View of npp-viirs-true-color
	NOAA20 VIIRS I-Band02 DB ConUS [j01-viirs-i02-msn] j01-viirs-i02-msn j01-viirs-i02-msn
	NOAA20 VIIRS I-Band05 DB ConUS [j01-viirs-i05-msn] j01-viirs-i05-msn j01-viirs-i05-msn
	SNPP VIIRS DNB Adaptive DB ConUS [npp-viirs-adaptive-dnb-msn] npp-viirs-adaptive-dnb-msn npp-viirs-adaptive-dnb-msn
	SNPP VIIRS False Color (Daily) Global [npp-viirs-false-color-daily] View of npp-viirs-false-color-swath View of npp-viirs-false-color-swath
	SNPP VIIRS False Color (Swaths) Global [npp-viirs-false-color-swath] View of npp-viirs-false-color View of npp-viirs-false-color
	SNPP VIIRS Fire RGB (Swaths) Global [npp-viirs-swath-fire-color] View of npp-viirs-bands-day-swath View of npp-viirs-bands-day-swath
	SNPP VIIRS Fire Temp (Swaths) Global [npp-viirs-swath-fire-temp] View of npp-viirs-bands-day-swath View of npp-viirs-bands-day-swath
	SNPP VIIRS I-Band02 DB ConUS [npp-viirs-i02-msn] npp-viirs-i02-msn npp-viirs-i02-msn
	SNPP VIIRS I-Band05 DB ConUS [npp-viirs-i05-msn] npp-viirs-i05-msn npp-viirs-i05-msn
	SNPP VIIRS True Color (Daily) Global [npp-viirs-true-color-daily] View of npp-viirs-true-color-swath View of npp-viirs-true-color-swath
	SNPP VIIRS True Color (Swaths) Global [npp-viirs-true-color-swath] View of npp-viirs-true-color View of npp-viirs-true-color