RealEarth™ Product Inventory



Collection:

Alphabetic list of products:
  1. 24hr Snow Depth
    ID: SNODAS-Thickness
    SNODAS (Snow Data Assimilation System) Daily Snow Layer Thickness Imagery from the NASA MODIS instrument, courtesy NASA NSIDC DAAC.
  2. 24hr Snow Fall
    ID: SNODAS-Accumulate
    SNODAS (Snow Data Assimilation System) 24hr Snow Accumulation Imagery from the NASA MODIS instrument, courtesy NASA NSIDC DAAC.
  3. 2015 WI NAIP Counties
    ID: wi-counties
    This layer displays Wisconsin county outlines. Right-click-probe allows downloads of source imagery for the 2015 Wisconsin NAIP aerial photography county mosaics.
  4. 2015 WI NAIP DOQQs
    ID: NAIPWI2015fp
    This layer displays the coverage footprints for the 2015 Wisconsin NAIP aerial photography. Right-click probe allows downloads of source imagery.
  5. African Wild Fire targets
    ID: CSIR
    Southern Africa Wild Fire targets are fires detected by the MODIS sensor on the Terra and Aqua satellites. It is produced by CSIR (The Council for Scientific and Industrial Research) and updated every 60 minutes to include any new information.
  6. Aqua Aerosol Optical Depth
    ID: AQUA-AER
    MODIS: AQUA Aerosol Optical Depth (ta)
  7. Aqua False Color
    ID: aquafalsecolor
    CIMSS-MODIS Satellite False Color (Aqua)
  8. Aqua Land Surface True Color
    ID: GLOBALaquatc
    MODIS: Aqua Land Surface True Color
  9. Aqua MODIS False Color Composites (Day)
    ID: aquafc-day
    Aqua MODIS False Color Composites (Day)
  10. Aqua MODIS False Color Swaths
    ID: aquafc-pass
    Aqua MODIS False Color Swaths
  11. Aqua MODIS Infrared Composites (Day)
    ID: aquair-day
    Aqua MODIS Infrared Composites (Day)
  12. Aqua MODIS Infrared Composites (Night)
    ID: aquair-night
    Aqua MODIS Infrared Composites (Night)
  13. Aqua MODIS Infrared Swaths
    ID: aquair-pass
    Aqua MODIS Infrared Swaths
  14. Aqua MODIS Near Infrared Composites (Day)
    ID: aquanir-day
    Aqua MODIS Near Infrared Composites (Day)
  15. Aqua MODIS Near Infrared Swaths
    ID: aquanir-pass
    Aqua MODIS Near Infrared Swaths
  16. Aqua MODIS Short Wave Infrared Composites (Day)
    ID: aquaswir-day
    Aqua MODIS Short Wave Infrared Composites (Day)
  17. Aqua MODIS Short Wave Infrared Composites (Night)
    ID: aquaswir-night
    Aqua MODIS Short Wave Infrared Composites (Night)
  18. Aqua MODIS Short Wave Infrared Swaths
    ID: aquaswir-pass
    Aqua MODIS Short Wave Infrared Swaths
  19. Aqua MODIS True Color Composites (Day)
    ID: aquatc-day
    Aqua MODIS True Color Composites (Day)
  20. Aqua MODIS True Color Swaths
    ID: aquatc-pass
    Aqua MODIS True Color Swaths
  21. Aqua MODIS Visible Composites (Day)
    ID: aquavis-day
    Aqua MODIS Visible Composites (Day)
  22. Aqua MODIS Visible Swaths
    ID: aquavis-pass
    Aqua MODIS Visible Swaths
  23. Aqua MODIS Water Vapor Composites (Day)
    ID: aquawv-day
    Aqua MODIS Water Vapor Composites (Day)
  24. Aqua MODIS Water Vapor Composites (Night)
    ID: aquawv-night
    Aqua MODIS Water Vapor Composites (Night)
  25. Aqua MODIS Water Vapor Swaths
    ID: aquawv-pass
    Aqua MODIS Water Vapor Swaths
  26. AQUA Orbit
    ID: POESNAV-AQUA
  27. Blended TPW GPS
    ID: NESDIS-BTPWgps
    NESDIS-BTPWgps
  28. Blended TPW Percent
    ID: NESDIS-BTPWpct
    NESDIS-BTPWpct
  29. Calif 2018-11-08 Landsat
    ID: landsat-OLI-B654-v2
    landsat-OLI-B654-v2
  30. Cladophora Classification
    ID: clad
    Estimate of 2005 algae extent along coastal Lake Michigan.
  31. CLAVR-x Cloud Depth
    ID: CloudDepth-CLAVRX
    CloudDepth-CLAVRX
  32. CLAVR-x Cloud Effective Radius
    ID: CloudReff-CLAVRX
    CloudReff-CLAVRX
  33. CLAVR-x Cloud Top Height
    ID: CloudHght-CLAVRX
    CloudHght-CLAVRX
  34. CLAVR-x Cloud Top Pressure
    ID: CloudPres-CLAVRX
    CloudPres-CLAVRX
  35. CLAVR-x Cloud Top Temperature
    ID: CloudTemp-CLAVRX
    CloudTemp-CLAVRX
  36. Cloud Top Cooling targets
    ID: CIMSS-CTCtargets
    CIMSS-Cloud Top Cooling targets
  37. Convective Outlook - Categorical
    ID: SPC-ConvOutlook-CATG
    SPC Convective Outlook - Categorical
  38. Convective Outlook - Categorical (color map)
    ID: SPC-ConvOutlook-CATG-cmap
    View of SPC-ConvOutlook-CATG
  39. Convective Outlook Day1
    ID: SPCcoday1
    Convective Outlook Day1 (Category) id=SPCcoday1
  40. Convective Outlook Day2
    ID: SPCcoday2
    Convective Outlook Day2 (Category)
  41. Convective Outlook Day3
    ID: SPCcoday3
    Convective Outlook Day3 (Categorical)
  42. CSPP Active Fires
    ID: csppafedr
    CSPP Active Fires
  43. CSPP VIIRS Flood Detection
    ID: cspp-flood
    Daily direct broadcast-produced flood products created by latest alpha version of the CSPP VIIRS Flood Detection software.
  44. CSPP VIIRS Flood Detection (no cloud)
    ID: cspp-flood-nocloud
    An alternate view of the CSPP VIIRS Flood Detection product with cloud & cloud shadow pixels set to transparent.
  45. CSPP VIIRS Flood Detection - Global
    ID: cspp-viirs-flood-globally
    Global flood products created from Suomi-NPP SDRs by the latest alpha version of the CSPP VIIRS Flood Detection software.
  46. CSPP VIIRS Flood Detection - Global (no clouds)
    ID: cspp-viirs-flood-globally-nocloud
    Global flood products created from Suomi-NPP SDRs by the latest alpha version of the CSPP VIIRS Flood Detection software. This product has cloudy & cloud shadow pixels removed so that, in cases where granules overlap, only cloud free data points are displayed.
  47. Current Large Fires
    ID: Current-Fires
    Current Large Fires
  48. DNB-ClearView
    ID: DNB-ClearView
    DNB-ClearView
  49. Earthquake Magnitude
    ID: Earthquake-mag
    Earthquake Magnitude (Past 24hr)
  50. Eclipse Path
    ID: Eclipse
    Eclipse Path
  51. Effective Bulk Shear
    ID: EBSPS
    ProbSevere effective bulk shear merged and smoothed
  52. Excessive Rainfall Threat Area Day1
    ID: ERTAday1
    WPC Excessive Rainfall Threat Area Day1: In the Excessive Rainfall Outlooks, the Weather Prediction Center (WPC) forecasts the probability that rainfall will exceed flash flood guidance at a point. Gridded FFG is provided by the twelve NWS River Forecast Centers (RFCs) whose service areas cover the lower 48 states. WPC creates a national mosaic of FFG, whose 1, 3, and 6-hour values represent the amount of rainfall over those short durations which it is estimated would bring rivers and streams up to bankfull conditions. WPC estimates the likelihood that FFG will be exceeded by assessing environmental conditions (e.g. moisture content and steering winds), recognizing weather patterns commonly associated with heavy rainfall, and using a variety of deterministic and ensemble-based numerical model tools
  53. Excessive Rainfall Threat Area Day2
    ID: ERTAday2
    WPC Excessive Rainfall Threat Area Day2: In the Excessive Rainfall Outlooks, the Weather Prediction Center (WPC) forecasts the probability that rainfall will exceed flash flood guidance at a point. Gridded FFG is provided by the twelve NWS River Forecast Centers (RFCs) whose service areas cover the lower 48 states. WPC creates a national mosaic of FFG, whose 1, 3, and 6-hour values represent the amount of rainfall over those short durations which it is estimated would bring rivers and streams up to bankfull conditions. WPC estimates the likelihood that FFG will be exceeded by assessing environmental conditions (e.g. moisture content and steering winds), recognizing weather patterns commonly associated with heavy rainfall, and using a variety of deterministic and ensemble-based numerical model tools
  54. Excessive Rainfall Threat Area Day3
    ID: ERTAday3
    WPC Excessive Rainfall Threat Area Day3: In the Excessive Rainfall Outlooks, the Weather Prediction Center (WPC) forecasts the probability that rainfall will exceed flash flood guidance at a point. Gridded FFG is provided by the twelve NWS River Forecast Centers (RFCs) whose service areas cover the lower 48 states. WPC creates a national mosaic of FFG, whose 1, 3, and 6-hour values represent the amount of rainfall over those short durations which it is estimated would bring rivers and streams up to bankfull conditions. WPC estimates the likelihood that FFG will be exceeded by assessing environmental conditions (e.g. moisture content and steering winds), recognizing weather patterns commonly associated with heavy rainfall, and using a variety of deterministic and ensemble-based numerical model tools
  55. Fire Danger Index Africa
    ID: ZAFDI
    MODIS Fire Danger Index South Africa by CIMSS-DBCRAS
  56. Fire Danger Index ConUS
    ID: CONUSFDI
    MODIS Fire Danger Index (FDI) ConUS by CIMSS-DBCRAS
  57. Fire Hazards (Issued)
    ID: REDFLAG
    Red Flag Warnings and Fire Weather Watches
  58. Fire Hazards (Valid)
    ID: XREDFLAG
    XREDFLAG
  59. Fire Weather Outlook - Categorical
    ID: SPC-FireOutlook-CATG
    SPC Fire Weather Outlook - Categorical
  60. Fire Weather Outlook Day1
    ID: SPCfwday1
    Fire Weather Outlook Day1 (Category)
  61. Fire Weather Outlook Day2
    ID: SPCfwday2
    Fire Weather Outlook Day2 (Category)
  62. Flash Flood Hazards
    ID: WFLASH
    Flash Flood Hazards
  63. Flood Hazards
    ID: WWFLOOD
    Flood Watches and Warnings
  64. Flood Outlook Product
    ID: FOP
    WPC FLood Outlook Product
  65. Flood Warnings (Issued)
    ID: FLOODWARN
    Flood Warning Polygons
  66. Flood Warnings (Valid)
    ID: XFLOODWARN
    XFLOODWARN
  67. Flood Warnings Hydrological-VTEC (Issued)
    ID: HVTEC
    HVTEC
  68. Florence flooding GOES16-ABI-FLOOD
    ID: GOES16-ABI-FLOOD
    GOES16-ABI-FLOOD
  69. Florence flooding GOES16-ABI-FLOOD-No-Clouds
    ID: GOES16-ABI-FLOOD-water-only
    View of GOES16-ABI-FLOOD
  70. Florence flooding GOES16-ABI-FLOOD-No-Land
    ID: GOES16-ABI-FLOOD-No-Land
    View of GOES16-ABI-FLOOD
  71. Florence flooding Merged-ABI-VIIRS-Flood-Map
    ID: Merged-ABI-VIIRS-Flood-Map
    Merged-ABI-VIIRS-Flood-Map
  72. Florence flooding Merged-ABI-VIIRS-Flood-Map-No-Land
    ID: Merged-ABI-VIIRS-Flood-Map-No-Land
    View of Merged-ABI-VIIRS-Flood-Map
  73. Fog Hazards
    ID: WFOG
    Fog Hazards
  74. Fractional Snow Cover
    ID: snow-fraction
    Global daily maps of snow fraction are produced from VIIRS data. At this time information on the presence/absence of snow in every VIIRS pixel (i.e., binary snow mask) is obtained from the IDPS Binary Snow Map product. Snow fraction is derived with a new (NDE) algorithm which estimates the area fraction of the pixel covered with snow. Within the NDE reflectance-based snow fraction algorithm the snow fraction is inferred from the the observed reflectance in the VIIRS visible band (I1). Snow fraction is assumed linearly related to the visible reflectance of the pixel. The NDE snow fraction approach is different from the one in the current IDPS algorithm where snow fraction is estimated through aggregation of the VIIRS binary snow map within 2x2 pixel blocks.
  75. Fronts and Troughs
    ID: Fronts
    NCEP Frontal Analysis: fronts and troughs
  76. G16 ABI Derived Fire image
    ID: IRFIRE2
    G16 ABI Derived Fire image
  77. GLM FlashAvgArea
    ID: FlashAvgArea
    GOES-16 GLM average flash area 3-min average over flash extent density footprint
  78. GLM FlashCentroidDensity
    ID: FlashCentroidDensity
  79. GLM FlashExtentDensity
    ID: FlashExtentDensity
    GOES-16 flash extent density 3-min accumulation of footprint of all observed flashes
  80. glmgroupdensity-west
    ID: glmgroupdensity-west
  81. GLM TotalEnergy
    ID: TotalEnergy
    GOES-16 total optical energy 3-min accumulation over flash extent density footprint.
  82. Global Black Marble
    ID: VIIRS-MASK-54000x27000
    VIIRS Night Global Black Marble by NASA
  83. Global DayNight Mask
    ID: DayNight
    Global DayNight Mask
  84. Global Infrared
    ID: 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 current imagery, shifting occurs along composite seams.
  85. Global Infrared - Aviation
    ID: 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 current imagery, shifting occurs along composite seams.
  86. Global Infrared - Dvorak
    ID: 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 current imagery, shifting occurs along composite seams.
  87. Global Infrared - Funk Top
    ID: 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 current imagery, shifting occurs along composite seams.
  88. Global Infrared - Rainbow
    ID: 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 current imagery, shifting occurs along composite seams.
  89. Global Infrared - Rain Rate
    ID: 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 the SSEC Data Center. While it shows the most current imagery, shifting occurs along composite seams.
  90. Global Infrared - Tops
    ID: 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 current imagery, shifting occurs along composite seams.
  91. Global Lakes - Trophic State
    ID: global-lake-water-trophic
    The Copernicus Global Land Service – Lake Water products include an optical characterization of ~1000 of the world"s largest inland water bodies from observations by Sentinel-3 OLCI (Ocean and Land Color Instrument). This product represents estimated trophic state index (derived from phytoplankton biomass by proxy of chlorophyll-a). Production and delivery of the parameters are over 10-day intervals starting the 1st, 11th and 21st day of each month and mapped to a common global grid at 300m resolution.
  92. Global Night Lights
    ID: NightLightsColored
    Global Night Lights (enhanced)
  93. Global Visible
    ID: 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 current imagery, shifting occurs along composite seams.
  94. Global Visible (transparent Night)
    ID: 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 available imagery. While it shows the most current imagery, shifting occurs along composite seams.
  95. Global Visible - fill
    ID: 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. While it shows the most current imagery, shifting occurs along composite seams.
  96. Global Visible - full
    ID: global1kmvisfull
  97. Global Water Vapor
    ID: 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 current imagery, shifting occurs along composite seams.
  98. Global Water Vapor - Gradient
    ID: 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 shows the most current imagery, shifting occurs along composite seams.
  99. GOES-East GLM storm objects
    ID: GLMOBJ
  100. GOES CAPE
    ID: cimssdpicapeli
    CIMSS-DPI Convective Available Potential Energy (Li et al. 2008)
  101. GOES Cloud Phase
    ID: FLSgeocphase
    FLS: GOES Cloud Phase
  102. GOES Cloud Thickness
    ID: FLSgeocthick
    FLS: GOES Cloud Thickness
  103. GOES East ABI ConUS B01 "Blue" Visible
    ID: 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
  104. GOES East ABI ConUS B02 Hi-Res "Red" Visible
    ID: 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.
  105. GOES East ABI ConUS B03 "Veggie"
    ID: 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.
  106. GOES East ABI ConUS B04 Cirrus
    ID: 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.
  107. GOES East ABI ConUS B05 Snow/Ice
    ID: 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.
  108. GOES East ABI ConUS B06 Cloud Particle Size
    ID: 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.
  109. GOES East ABI ConUS B07 "Fire"
    ID: 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.
  110. GOES East ABI ConUS B07 "Fire" enhanced
    ID: 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. 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.
  111. GOES East ABI ConUS B07 "Fire" stretch
    ID: G16-ABI-CONUS-BAND07D
    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.
  112. GOES East ABI ConUS B08 Upper-level Water Vapor
    ID: 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.
  113. GOES East ABI ConUS B08 Upper-level Water Vapor enhanced
    ID: 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.
  114. GOES East ABI ConUS B09 Mid-level Water Vapor
    ID: 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.
  115. GOES East ABI ConUS B09 Mid-level Water Vapor enhanced
    ID: 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 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.
  116. GOES East ABI ConUS B10 Lower-level Water Vapor
    ID: 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.
  117. GOES East ABI ConUS B10 Lower-level Water Vapor enhanced
    ID: 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 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.
  118. GOES East ABI ConUS B11 Cloud Phase
    ID: 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.
  119. GOES East ABI ConUS B12 Ozone
    ID: 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.
  120. GOES East ABI ConUS B13 "Clean" Infrared
    ID: 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.
  121. GOES East ABI ConUS B13 "Clean" Infrared enhanced
    ID: 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 feature identification/classification, estimation of cloudtop brightness temperature and cloud particle size, and surface property characterization in derived products.
  122. GOES East ABI ConUS B14 Infrared
    ID: 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.
  123. GOES East ABI ConUS B15 "Dirty" Infrared
    ID: 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.
  124. GOES East ABI ConUS B16 Carbon Dioxide
    ID: 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.
  125. GOES East ABI ConUS L2 "Sandwich"
    ID: GOES-16SandwichCONUS
    A composite image of the 10.35 um IR brightness temperatures with the 0.64 micron normalized visible brightness during the day. Transitions to an IR image at night.
  126. GOES East ABI ConUS RGB True Color
    ID: G16-ABI-CONUS-TC
    True Color Imagery gives an image that is approximately as you would see it from Outer Space. With ABI, the challenge of creating True Color arises from the the lack of a Green Band. The CIMSS Natural True Color product, approximates the green by combining Blue (0.47 µm), Red (0.64 µm) and ‘Veggie’ (0.86 µm) bands. The use of the Veggie band is important because it mimics the enhanced reflectivity present in the Green Band.
  127. GOES East ABI Full Disk B01 "Blue" Visible
    ID: 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 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.
  128. GOES East ABI Full Disk B02 Hi-Res "Red" Visible
    ID: 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 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.
  129. GOES East ABI Full Disk B03 "Veggie"
    ID: 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 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.
  130. GOES East ABI Full Disk B04 Cirrus
    ID: 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 day.
  131. GOES East ABI Full Disk B05 Snow/Ice
    ID: 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 reflects) radiation at 1.61 µm. Thus you can infer cloud phase. Fires can also be detected at night using this band.
  132. GOES East ABI Full Disk B06 Cloud Particle Size
    ID: 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 aerosol particle size (by characterizing the aerosol-free background over land), to create cloud masking and to detect hot spots.
  133. GOES East ABI Full Disk B07 "Fire"
    ID: 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. 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.
  134. GOES East ABI Full Disk B07 "Fire" enhanced
    ID: G16-ABI-FD-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. 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.
  135. GOES East ABI Full Disk B08 Upper-level Water Vapor
    ID: 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 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.
  136. GOES East ABI Full Disk B08 Upper-level Water Vapor enhanced
    ID: G16-ABI-FD-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 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.
  137. GOES East ABI Full Disk B09 Mid-level Water Vapor
    ID: 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 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.
  138. GOES East ABI Full Disk B09 Mid-level Water Vapor enhanced
    ID: G16-ABI-FD-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 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.
  139. GOES East ABI Full Disk B10 Lower-level Water Vapor
    ID: 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 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.
  140. GOES East ABI Full Disk B10 Lower-level Water Vapor enhanced
    ID: G16-ABI-FD-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 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.
  141. GOES East ABI Full Disk B11 Cloud Phase
    ID: 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 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.
  142. GOES East ABI Full Disk B12 Ozone
    ID: 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 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.
  143. GOES East ABI Full Disk B13 "Clean" Infrared
    ID: 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 feature identification/classification, estimation of cloudtop brightness temperature and cloud particle size, and surface property characterization in derived products.
  144. GOES East ABI Full Disk B13 "Clean" Infrared enhanced
    ID: 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 feature identification/classification, estimation of cloudtop brightness temperature and cloud particle size, and surface property characterization in derived products.
  145. GOES East ABI Full Disk B14 Infrared
    ID: 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 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.
  146. GOES East ABI Full Disk B15 "Dirty" Infrared
    ID: 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 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.
  147. GOES East ABI Full Disk B16 Carbon Dioxide
    ID: 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 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.
  148. GOES East ABI Full Disk RGB Air Mass (ARM)
    ID: GOES-16-24hrAirMass-arm
    GOES East ABI Full Disk RGB Air Mass (ARM)
  149. GOES East ABI Full Disk RGB Day Convection (CVE)
    ID: GOES-16-DayConvectiveStorm-cve
    GOES East ABI Full Disk RGB Day Convection (CVE)
  150. GOES East ABI Full Disk RGB Day Microphysics (DMS)
    ID: GOES-16-DayMicrophysics-dms
    GOES East ABI Full Disk RGB Day Microphysics (DMS)
  151. GOES East ABI Full Disk RGB Natural Color (DNC)
    ID: GOES-16-NaturalColor-dnc
    GOES East ABI Full Disk RGB Natural Color (DNC)
  152. GOES East ABI Full Disk RGB Night Microphysics (NGT)
    ID: GOES-16-NightMicrophysics-ngt
    GOES East ABI Full Disk RGB Night Microphysics (NGT)
  153. GOES East ABI Full Disk RGB Snow/Fog (DSL)
    ID: GOES-16-SnowFog-dsl
    GOES East ABI Full Disk RGB Snow/Fog (DSL)
  154. GOES East ABI Full Disk RGB True Color
    ID: G16-ABI-FD-TC
    True Color Imagery gives an image that is approximately as you would see it from Outer Space. With ABI, the challenge of creating True Color arises from the the lack of a Green Band. The CIMSS Natural True Color product, approximates the green by combining Blue (0.47 µm), Red (0.64 µm) and ‘Veggie’ (0.86µm) bands. The use of the Veggie band is important because it mimics the enhanced reflectivity present in the Green Band.
  155. GOES EAST ABI L2 South America Sandwich
    ID: GOES-16-SA-Sandwich
    A composite image of the 10.35 um IR brightness temperatures with the 0.64 micron normalized visible brightness temperatures during the day. Transitions to an IR image at night. Currently, this product only extends to 35 South.
  156. GOES East ABI Meso1 B01 "Blue" Visible
    ID: 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 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.
  157. GOES East ABI Meso1 B02 Hi-Res "Red" Visible
    ID: 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 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.
  158. GOES East ABI Meso1 B03 "Veggie"
    ID: 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 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.
  159. GOES East ABI Meso1 B04 Cirrus
    ID: 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 day.
  160. GOES East ABI Meso1 B05 Snow/Ice
    ID: 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 reflects) radiation at 1.61 µm. Thus you can infer cloud phase. Fires can also be detected at night using this band.
  161. GOES East ABI Meso1 B06 Cloud Particle Size
    ID: 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 aerosol particle size (by characterizing the aerosol-free background over land), to create cloud masking and to detect hot spots.
  162. GOES East ABI Meso1 B07 "Fire"
    ID: 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. 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.
  163. GOES East ABI Meso1 B07 "Fire" enhanced
    ID: G16-ABI-MESO1-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. 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.
  164. GOES East ABI Meso1 B08 Upper-level Water Vapor
    ID: 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 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.
  165. GOES East ABI Meso1 B08 Upper-level Water Vapor enhanced
    ID: G16-ABI-MESO1-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 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.
  166. GOES East ABI Meso1 B09 Mid-level Water Vapor
    ID: 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 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.
  167. GOES East ABI Meso1 B09 Mid-level Water Vapor enhanced
    ID: G16-ABI-MESO1-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 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.
  168. GOES East ABI Meso1 B10 Lower-level Water Vapor
    ID: 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 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.
  169. GOES East ABI Meso1 B10 Lower-level Water Vapor enhanced
    ID: G16-ABI-MESO1-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 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.
  170. GOES East ABI Meso1 B11 Cloud Phase
    ID: 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 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.
  171. GOES East ABI Meso1 B12 Ozone
    ID: 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 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.
  172. GOES East ABI Meso1 B13 "Clean" Infrared
    ID: 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 feature identification/classification, estimation of cloudtop brightness temperature and cloud particle size, and surface property characterization in derived products.
  173. GOES East ABI Meso1 B13 "Clean" Infrared enhanced
    ID: 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 feature identification/classification, estimation of cloudtop brightness temperature and cloud particle size, and surface property characterization in derived products.
  174. GOES East ABI Meso1 B13 "Clean" Infrared red
    ID: G16-ABI-MESO1-BAND13-RED
    True Color Imagery gives an image that is approximately as you would see it from Outer Space. With ABI, the challenge of creating True Color arises from the the lack of a Green Band. The CIMSS Natural True Color product, approximates the green by combining Blue (0.47 µm), Red (0.64 µm) and ‘Veggie’ (0.86 µm) bands. The use of the Veggie band is important because it mimics the enhanced reflectivity present in the Green Band.
  175. GOES East ABI Meso1 B14 Infrared
    ID: 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 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.
  176. GOES East ABI Meso1 B15 "Dirty" Infrared
    ID: 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 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.
  177. GOES East ABI Meso1 B16 Carbon Dixoide
    ID: 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 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.
  178. GOES East ABI Meso1 L2 "Sandwich"
    ID: GOES-16SandwichMESO1
    A composite image of the 10.35 um IR A composite image of the 10.35 um IR brightness temperatures with the 0.64 micron normalized visible brightness during the day. Transitions to an IR image at night.
  179. GOES East ABI Meso1 RGB True Color
    ID: G16-ABI-MESO1-TC
    True Color Imagery gives an image that is approximately as you would see it from Outer Space. With ABI, the challenge of creating True Color arises from the the lack of a Green Band. The CIMSS Natural True Color product, approximates the green by combining Blue (0.47 µm), Red (0.64 µm) and ‘Veggie’ (0.86 µm) bands. The use of the Veggie band is important because it mimics the enhanced reflectivity present in the Green Band.
  180. GOES East ABI Meso2 B01 "Blue" Visible
    ID: 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 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.
  181. GOES East ABI Meso2 B02 Hi-Res "Red" Visible
    ID: 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 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.
  182. GOES East ABI Meso2 B03 "Veggie"
    ID: 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 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.
  183. GOES East ABI Meso2 B04 Cirrus
    ID: 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 day.
  184. GOES East ABI Meso2 B05 Snow/Ice
    ID: 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 reflects) radiation at 1.61 µm. Thus you can infer cloud phase. Fires can also be detected at night using this band.
  185. GOES East ABI Meso2 B06 Cloud Particle Size
    ID: 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 aerosol particle size (by characterizing the aerosol-free background over land), to create cloud masking and to detect hot spots.
  186. GOES East ABI Meso2 B07 "Fire"
    ID: 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. 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.
  187. GOES East ABI Meso2 B07 "Fire" enhanced
    ID: G16-ABI-MESO2-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. 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.
  188. GOES East ABI Meso2 B08 Upper-level Water Vapor
    ID: 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 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.
  189. GOES East ABI Meso2 B08 Upper-level Water Vapor enhanced
    ID: G16-ABI-MESO2-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 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.
  190. GOES East ABI Meso2 B09 Mid-level Water Vapor
    ID: 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 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.
  191. GOES East ABI Meso2 B09 Mid-level Water Vapor enhanced
    ID: G16-ABI-MESO2-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 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.
  192. GOES East ABI Meso2 B10 Lower-level Water Vapor
    ID: 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 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.
  193. GOES East ABI Meso2 B10 Lower-level Water Vapor enhanced
    ID: G16-ABI-MESO2-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 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.
  194. GOES East ABI Meso2 B11 Cloud Phase
    ID: 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 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.
  195. GOES East ABI Meso2 B12 Ozone
    ID: 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 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.
  196. GOES East ABI Meso2 B13 "Clean" Infrared
    ID: 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 feature identification/classification, estimation of cloudtop brightness temperature and cloud particle size, and surface property characterization in derived products.
  197. GOES East ABI Meso2 B13 "Clean" Infrared blue
    ID: G16-ABI-MESO2-B13-CYAN
    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.
  198. GOES East ABI Meso2 B13 "Clean" Infrared enhanced
    ID: 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 feature identification/classification, estimation of cloudtop brightness temperature and cloud particle size, and surface property characterization in derived products.
  199. GOES East ABI Meso2 B14 Infrared
    ID: 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 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.
  200. GOES East ABI Meso2 B15 "Dirty" Infrared
    ID: 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 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.
  201. GOES East ABI Meso2 B16 Carbon Dioxide
    ID: 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 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.
  202. GOES East ABI Meso2 L2 "Sandwich"
    ID: GOES-16SandwichMESO2
    NOTE: When MESO1 is in 30 second mode, MESO2 will not update. A composite image of the 10.35 um IR A composite image of the 10.35 um IR brightness temperatures with the 0.64 micron normalized visible brightness during the day. Transitions to an IR image at night.
  203. GOES East ABI Meso2 RGB True Color
    ID: G16-ABI-MESO2-TC
    True Color Imagery gives an image that is approximately as you would see it from Outer Space. With ABI, the challenge of creating True Color arises from the the lack of a Green Band. The CIMSS Natural True Color product, approximates the green by combining Blue (0.47 µm), Red (0.64 µm) and ‘Veggie’ (0.86 µm) bands. The use of the Veggie band is important because it mimics the enhanced reflectivity present in the Green Band.
  204. GOES East GLM Full Disk Group Density
    ID: glmgroupdensity
    The Geostationary Lightning Mapper, or GLM, on board Geostationary Operational Environmental Satellite– R Series spacecraft, is the first operational lightning mapper flown in geostationary orbit. 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 oods, snowstorms and res.
  205. GOES IFR (Low) Probability
    ID: FLSgeolifr
    FLS: GOES Low IFR
  206. GOES IFR Probability
    ID: FLSgeoifr
    FLS: GOES IFR
  207. GOES Infrared
    ID: conusir
    ConUS Infrared 1km (15 min, GEO) In the infrared (IR) channel, the satellite senses energy as heat. The earth’s surface absorbs about half of the incoming solar energy. Clouds and the atmosphere absorb a much smaller amount. The earth’s surface, clouds, and the atmosphere then re-emit part of this absorbed solar energy as heat. The infrared channel senses this re-emitted radiation. A major advantage of the IR channel is that it can sense energy at night, so this imagery is available 24 hours a day. This is a disadvantage of the visible channel, which requires daylight and cannot "see" after dark.
  208. GOES Infrared 2byte
    ID: conusir2
    ConUS Infrared 4km - Temp
  209. GOES IR Aviation
    ID: conusiravn
    GOES IR Aviation
  210. GOES IR Dvorak
    ID: conusirbd
    GOES IR Dvorak
  211. GOES IR Funk Top
    ID: conusirfunk
    GOES IR Funk Top
  212. GOES IR Overshooting Tops
    ID: conusirott
    GOES IR Overshooting Tops
  213. GOES IR Rainbow
    ID: conusirnhc
    GOES IR Rainbow
  214. GOES Lifted Index
    ID: cimssdpilili
    GOES-DPI Lifted Index (Li et al. 2008)
  215. GOES Ozone
    ID: cimssdpiozli
    GOES-DPI Ozone (Li etal 2008)
  216. GOES Precipitable Water
    ID: cimssdpipwli
    CIMSS-DPI Precipitable Water (mm)
  217. GOES Visible
    ID: conusvis
    ConUS Visible 1km (15 min, GEO) Visible satellite imagery is produced when the satellite radiometer collects reflected energy in the visible part of the electromagnetic spectrum. It is only available during daylight as it relies on reflected solar radiation. Highly reflective surfaces like clouds, snow cover, sea ice and desert sand show up as bright white. Bodies of water like lakes, rivers and oceans reflect less sunlight, appearing darker. Land surface, vegetated ground and soil display as dark gray.
  218. GOES West ABI ConUS B01 "Blue" Visible
    ID: G17-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 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
  219. GOES West ABI ConUS B02 Hi-Res "Red" Visible
    ID: G17-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 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.
  220. GOES West ABI ConUS B03 "Veggie"
    ID: G17-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.
  221. GOES West ABI ConUS B04 Cirrus
    ID: G17-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 day.
  222. GOES West ABI ConUS B05 Snow/Ice
    ID: G17-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.
  223. GOES West ABI ConUS B06 Cloud Particle Size
    ID: G17-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.
  224. GOES West ABI ConUS B07 "Fire"
    ID: G17-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.
  225. GOES West ABI ConUS B07 "Fire" enhanced
    ID: G17-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. 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.
  226. GOES West ABI ConUS B08 Upper-level Water Vapor
    ID: G17-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, identifying jet streams, forecasting hurricane track and mid-latitude storm motion, monitoring.
  227. GOES West ABI ConUS B08 Upper-level Water Vapor enhanced
    ID: G17-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 motion, monitoring.
  228. GOES West ABI ConUS B09 Mid-level Water Vapor
    ID: G17-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 6.9 µm by water vapor.
  229. GOES West ABI ConUS B09 Mid-level Water Vapor enhanced
    ID: G17-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 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.
  230. GOES West ABI ConUS B10 Lower-level Water Vapor
    ID: G17-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.
  231. GOES West ABI ConUS B10 Lower-level Water Vapor enhanced
    ID: G17-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 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.
  232. GOES West ABI ConUS B11 Cloud Phase
    ID: G17-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 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.
  233. GOES West ABI ConUS B12 Ozone
    ID: G17-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.
  234. GOES West ABI ConUS B13 "Clean" Infrared
    ID: G17-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.
  235. GOES West ABI ConUS B13 "Clean" Infrared enhanced
    ID: G17-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 feature identification/classification, estimation of cloudtop brightness temperature and cloud particle size, and surface property characterization in derived products.
  236. GOES West ABI ConUS B14 Infrared
    ID: G17-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) 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.
  237. GOES West ABI ConUS B15 "Dirty" Infrared
    ID: G17-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” (12.3 μm) for the monitoring of simple atmospheric phenomena.
  238. GOES West ABI ConUS B16 Carbon Dioxide
    ID: G17-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 13.3 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.
  239. GOES West ABI ConUS RGB True Color
    ID: G17-ABI-CONUS-TC
    True Color Imagery gives an image that is approximately as you would see it from Outer Space. With ABI, the challenge of creating True Color arises from the the lack of a Green Band. The CIMSS Natural True Color product, approximates the green by combining Blue (0.47 µm), Red (0.64 µm) and ‘Veggie’ (0.86 µm) bands. The use of the Veggie band is important because it mimics the enhanced reflectivity present in the Green Band.
  240. GOES West ABI Full Disk B01 "Blue" Visible
    ID: G17-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 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.
  241. GOES West ABI Full Disk B02 Hi-Res "Red" Visible
    ID: G17-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 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.
  242. GOES West ABI Full Disk B03 "Veggie"
    ID: G17-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 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.
  243. GOES West ABI Full Disk B04 Cirrus
    ID: G17-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 day.
  244. GOES West ABI Full Disk B05 Snow/Ice
    ID: G17-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 reflects) radiation at 1.61 µm. Thus you can infer cloud phase. Fires can also be detected at night using this band.
  245. GOES West ABI Full Disk B06 Cloud Particle Size
    ID: G17-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 aerosol particle size (by characterizing the aerosol-free background over land), to create cloud masking and to detect hot spots.
  246. GOES West ABI Full Disk B07 "Fire"
    ID: G17-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. 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.
  247. GOES West ABI Full Disk B07 "Fire" enhanced
    ID: G17-ABI-FD-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. 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.
  248. GOES West ABI Full Disk B08 Upper-level Water Vapor
    ID: G17-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 motion, monitoring.
  249. GOES West ABI Full Disk B08 Upper-level Water Vapor enhanced
    ID: G17-ABI-FD-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 motion, monitoring.
  250. GOES West ABI Full Disk B09 Mid-level Water Vapor
    ID: G17-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 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.
  251. GOES West ABI Full Disk B09 Mid-level Water Vapor enhanced
    ID: G17-ABI-FD-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 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.
  252. GOES West ABI Full Disk B10 Lower-level Water Vapor
    ID: G17-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 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.
  253. GOES West ABI Full Disk B10 Lower-level Water Vapor enhanced
    ID: G17-ABI-FD-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 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.
  254. GOES West ABI Full Disk B11 Cloud Phase
    ID: G17-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 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.
  255. GOES West ABI Full Disk B12 Ozone
    ID: G17-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 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.
  256. GOES West ABI Full Disk B13 "Clean" Infrared
    ID: G17-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 feature identification/classification, estimation of cloudtop brightness temperature and cloud particle size, and surface property characterization in derived products.
  257. GOES West ABI Full Disk B13 "Clean" Infrared enhanced
    ID: G17-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 feature identification/classification, estimation of cloudtop brightness temperature and cloud particle size, and surface property characterization in derived products.
  258. GOES West ABI Full Disk B14 Infrared
    ID: G17-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 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.
  259. GOES West ABI Full Disk B15 "Dirty" Infrared
    ID: G17-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 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.
  260. GOES West ABI Full Disk B16 Carbon Dioxide
    ID: G17-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 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.
  261. GOES West ABI Full Disk RGB True Color
    ID: G17-ABI-FD-TC
    True Color Imagery gives an image that is approximately as you would see it from Outer Space. With ABI, the challenge of creating True Color arises from the the lack of a Green Band. The CIMSS Natural True Color product, approximates the green by combining Blue (0.47 µm), Red (0.64 µm) and ‘Veggie’ (0.86 µm) bands. The use of the Veggie band is important because it mimics the enhanced reflectivity present in the Green Band.
  262. GOES West ABI Meso1 B01 "Blue" Visible
    ID: G17-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 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
  263. GOES West ABI Meso1 B02 Hi-Res "Red" Visible
    ID: G17-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 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.
  264. GOES West ABI Meso1 B03 "Veggie"
    ID: G17-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 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.
  265. GOES West ABI Meso1 B04 Cirrus
    ID: G17-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 day.
  266. GOES West ABI Meso1 B05 Snow/Ice
    ID: G17-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 reflects) radiation at 1.61 µm. Thus you can infer cloud phase. Fires can also be detected at night using this band.
  267. GOES West ABI Meso1 B06 Cloud Particle Size
    ID: G17-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 aerosol particle size (by characterizing the aerosol-free background over land), to create cloud masking and to detect hot spots.
  268. GOES West ABI Meso1 B07 "Fire"
    ID: G17-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. 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.
  269. GOES West ABI Meso1 B07 "Fire" enhanced
    ID: G17-ABI-MESO1-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. 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.
  270. GOES West ABI Meso1 B08 Upper-level Water Vapor
    ID: G17-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 motion, monitoring
  271. GOES West ABI Meso1 B08 Upper-level Water Vapor enhanced
    ID: G17-ABI-MESO1-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 motion, monitoring
  272. GOES West ABI Meso1 B09 Mid-level Water Vapor
    ID: G17-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 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.
  273. GOES West ABI Meso1 B09 Mid-level Water Vapor enhanced
    ID: G17-ABI-MESO1-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 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.
  274. GOES West ABI Meso1 B10 Lower-level Water Vapor
    ID: G17-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 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.
  275. GOES West ABI Meso1 B10 Lower-level Water Vapor enhanced
    ID: G17-ABI-MESO1-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 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.
  276. GOES West ABI Meso1 B11 Cloud Phase
    ID: G17-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 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.
  277. GOES West ABI Meso1 B12 Ozone
    ID: G17-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 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.
  278. GOES West ABI Meso1 B13 "Clean" Infrared
    ID: G17-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 feature identification/classification, estimation of cloudtop brightness temperature and cloud particle size, and surface property characterization in derived products.
  279. GOES West ABI Meso1 B13 "Clean" infrared enhanced
    ID: G17-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 feature identification/classification, estimation of cloudtop brightness temperature and cloud particle size, and surface property characterization in derived products.
  280. GOES West ABI Meso1 B13 "Clean" Infrared green
    ID: G17-ABI-MESO1-BAND13-GREEN
    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.
  281. GOES West ABI Meso1 B14 Infrared
    ID: G17-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 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.
  282. GOES West ABI Meso1 B15 "Dirty" Infrared
    ID: G17-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 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.
  283. GOES West ABI Meso1 B16 Carbon Dixide
    ID: G17-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 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.
  284. GOES West ABI Meso1 RGB True Color
    ID: G17-ABI-MESO1-TC
    True Color Imagery gives an image that is approximately as you would see it from Outer Space. With ABI, the challenge of creating True Color arises from the the lack of a Green Band. The CIMSS Natural True Color product, approximates the green by combining Blue (0.47 µm), Red (0.64 µm) and ‘Veggie’ (0.86 µm) bands. The use of the Veggie band is important because it mimics the enhanced reflectivity present in the Green Band.
  285. GOES West ABI Meso2 B01 "Blue" Visible
    ID: G17-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 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
  286. GOES West ABI Meso2 B02 Hi-Res "Red" Visible
    ID: G17-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 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.
  287. GOES West ABI Meso2 B03 "Veggie"
    ID: G17-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 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.
  288. GOES West ABI Meso2 B04 Cirrus
    ID: G17-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 day.
  289. GOES West ABI Meso2 B05 Snow/Ice
    ID: G17-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 reflects) radiation at 1.61 µm. Thus you can infer cloud phase. Fires can also be detected at night using this band.
  290. GOES West ABI Meso2 B06 Cloud Particle Size
    ID: G17-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 aerosol particle size (by characterizing the aerosol-free background over land), to create cloud masking and to detect hot spots.
  291. GOES West ABI Meso2 B07 "Fire"
    ID: G17-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. 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.
  292. GOES West ABI Meso2 B07 "Fire" enhanced
    ID: G17-ABI-MESO2-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. 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.
  293. GOES West ABI Meso2 B08 Upper-level Water Vapor
    ID: G17-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 motion, monitoring
  294. GOES West ABI Meso2 B08 Upper-level Water Vapor enhanced
    ID: G17-ABI-MESO2-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 motion, monitoring
  295. GOES West ABI Meso2 B09 Mid-level Water Vapor
    ID: G17-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 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.
  296. GOES West ABI Meso2 B09 Mid-level Water Vapor enhanced
    ID: G17-ABI-MESO2-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 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.
  297. GOES West ABI Meso2 B10 Upper-level Water Vapor
    ID: G17-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 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.
  298. GOES West ABI Meso2 B10 Upper-level Water Vapor enhanced
    ID: G17-ABI-MESO2-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 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.
  299. GOES West ABI Meso2 B11 Cloud Phase
    ID: G17-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 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.
  300. GOES West ABI Meso2 B12 Ozone
    ID: G17-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 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.
  301. GOES West ABI Meso2 B13 "Clean" Infrared
    ID: G17-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 feature identification/classification, estimation of cloudtop brightness temperature and cloud particle size, and surface property characterization in derived products.
  302. GOES West ABI Meso2 B13 "Clean" Infrared enhanced
    ID: G17-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 feature identification/classification, estimation of cloudtop brightness temperature and cloud particle size, and surface property characterization in derived products.
  303. GOES West ABI Meso2 B13 "Clean" Infrared yellow
    ID: G17-ABI-MESO2-BAND13-YELLOW
    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.
  304. GOES West ABI Meso2 B14 Infrared
    ID: G17-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 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.
  305. GOES West ABI Meso2 B15 "Dirty" Infrared
    ID: G17-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 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.
  306. GOES West ABI Meso2 B16 Carbon Dioxide
    ID: G17-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 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.
  307. GOES West ABI Meso2 RGB True Color
    ID: G17-ABI-MESO2-TC
    True Color Imagery gives an image that is approximately as you would see it from Outer Space. With ABI, the challenge of creating True Color arises from the the lack of a Green Band. The CIMSS Natural True Color product, approximates the green by combining Blue (0.47 µm), Red (0.64 µm) and ‘Veggie’ (0.86 µm) bands. The use of the Veggie band is important because it mimics the enhanced reflectivity present in the Green Band.
  308. Great Lakes Surface Environmental Analysis
    ID: GLERL-GLSEAimage
    Great Lakes Surface Environmental Analysis (GLSEA) from GLERL. For more info see: http://coastwatch.glerl.noaa.gov/glsea/doc
  309. Hail Outlook Day1
    ID: SPChaday1
    Hail Outlook Day1 (%)
  310. Himawari AHI Full Disk B01 "Blue" Visible
    ID: HIMAWARI-B01
    Himawari AHI Full Disk B01 "Blue" Visible
  311. Himawari AHI Full Disk B02 "Green" Visible
    ID: HIMAWARI-B02
    Himawari AHI Full Disk B02 "Green" Visible
  312. Himawari AHI Full Disk B03 Hi-Res "Red" Visible
    ID: HIMAWARI-B03
    Himawari AHI Full Disk B03 Hi-Res "Red" Visible
  313. Himawari AHI Full Disk B04 "Veggie"
    ID: HIMAWARI-B04
    Himawari AHI Full Disk B04 "Veggie"
  314. Himawari AHI Full Disk B05 Snow and Ice
    ID: HIMAWARI-B05
    Himawari AHI Full Disk B05 Snow and Ice
  315. Himawari AHI Full Disk B06 Cloud Particle Size
    ID: HIMAWARI-B06
    Himawari AHI Full Disk B06 Cloud Particle Size
  316. Himawari AHI Full Disk B07 "Fire"
    ID: HIMAWARI-B07
    Himawari AHI Full Disk B07 "Fire"
  317. Himawari AHI Full Disk B07 "Fire" enhanced
    ID: HIMAWARI-B07-FIRE
    View of HIMAWARI-B07
  318. Himawari AHI Full Disk B08 Upper-level Water Vapor
    ID: HIMAWARI-B08
    Himawari AHI Full Disk B08 Upper-level Water Vapor
  319. Himawari AHI Full Disk B08 Upper-level Water Vapor enhanced
    ID: HIMAWARI-B08-VAPR
    View of HIMAWARI-B08
  320. Himawari AHI Full Disk B09 Mid-level Water Vapor
    ID: HIMAWARI-B09
    Himawari AHI Full Disk B09 Mid-level Water Vapor
  321. Himawari AHI Full Disk B09 Mid-level Water Vapor enhanced
    ID: HIMAWARI-B09-VAPR
    View of HIMAWARI-09
  322. Himawari AHI Full Disk B10 Low-level Water Vapor
    ID: HIMAWARI-B10
    Himawari AHI Full Disk B10 Low-level Water Vapor
  323. Himawari AHI Full Disk B10 Low-level Water Vapor enhanced
    ID: HIMAWARI-B10-VAPR
    View of HIMAWARI-B10
  324. Himawari AHI Full Disk B11 Cloud Phase
    ID: HIMAWARI-B11
    Himawari AHI Full Disk B11 Cloud Phase
  325. Himawari AHI Full Disk B12 Ozone
    ID: HIMAWARI-B12
    Himawari AHI Full Disk B12 Ozone
  326. Himawari AHI Full Disk B13 "Clean" Infrared
    ID: HIMAWARI-B13
    Himawari AHI Full Disk B13 "Clean" Infrared
  327. Himawari AHI Full Disk B13 "Clean" Infrared enhanced
    ID: HIMAWARI-B13-GRAD
    View of HIMAWARI-B13
  328. Himawari AHI Full Disk B14 Infrared
    ID: HIMAWARI-B14
    Himawari AHI Full Disk B14 Infrared
  329. Himawari AHI Full Disk B14 Infrared enhanced
    ID: HIMAWARI-B14-GRAD
    View of HIMAWARI-B14
  330. Himawari AHI Full Disk B15 "Dirty" Infrared
    ID: HIMAWARI-B15
    Himawari AHI Full Disk B15 "Dirty" Infrared
  331. Himawari AHI Full Disk B15 "Dirty" Infrared enhanced
    ID: HIMAWARI-B15-GRAD
    View of HIMAWARI-B15
  332. Himawari AHI Full Disk B16 Carbon Dioxide
    ID: HIMAWARI-B16
    Himawari AHI Full Disk B16 Carbon Dioxide
  333. Himawari AHI Full Disk Day Convective Storm (ave)
    ID: H-DayConvectiveStorm-cve
    Himawari AHI Full Disk Day Convective Storm (ave)
  334. Himawari AHI Full Disk Day Microphysics (dms)
    ID: H-DayMicrophysics-dms
    Himawari AHI Full Disk Day Microphysics (dms)
  335. Himawari AHI Full Disk Dust (dst)
    ID: H-Dust-dst
    Himawari AHI Full Disk Dust (dst)
  336. Himawari AHI Full Disk Natural Color (dnc)
    ID: H-NaturalColor-dnc
    Himawari AHI Full Disk Natural Color (dnc)
  337. Himawari AHI Full Disk Night Microphysics (nms)
    ID: H-NightMicrophysics-ngt
    Himawari AHI Full Disk Night Microphysics (nms)
  338. Himawari AHI Full Disk RGB Air Mass (arm)
    ID: H-24hrAirMass-arm
    The Air Mass RGB is used to diagnose the environment surrounding synoptic systems by enhancing temperature and moisture characteristics of air masses. Cyclogenesis can be inferred by the identification of warm, dry, ozone-rich descending stratospheric air associated with jet streams and potential vorticity (PV) anomalies. The RGB can be used to validate the location of PV anomalies in model data. Additionally, this RGB can distinguish between polar and tropical air masses, especially along frontal boundaries and identify high-, mid-, and low- level clouds.
  339. Himawari AHI Full Disk Snow and Fog (dsl)
    ID: H-SnowFog-dsl
    Himawari AHI Full Disk Snow and Fog (dsl)
  340. Himawari AHI Full Disk True Color (tre)
    ID: H-TrueColor-tre
    Himawari AHI Full Disk True Color (tre)
  341. Himawari AHI Full Disk True Color (wgt)
    ID: H-TrueColor-wgt
    Himawari AHI Full Disk True Color (wgt)
  342. Himawari AHI Japan B03 Hi-Res "Red" Visible
    ID: HIMAWARI-JP-B03
    Himawari AHI Japan B03 Hi-Res "Red" Visible
  343. Himawari AHI Japan B07 "Fire"
    ID: HIMAWARI-JP-B07
    Himawari AHI Japan Bo7 "Fire"
  344. Himawari AHI Japan B07 "Fire" enhanced
    ID: HIMAWARI-JP-B07-FIRE
    View of HIMAWARI-JP-B07
  345. Himawari AHI Japan B09 Mid-level Water Vapor
    ID: HIMAWARI-JP-B09
    Himawari AHI Japan B09 Mid-level Water Vapor
  346. Himawari AHI Japan B09 Mid-level Water Vapor enhanced
    ID: HIMAWARI-JP-B09-VAPR
    View of HIMAWARI-JP-B09
  347. Himawari AHI Japan B14 Infrared
    ID: HIMAWARI-JP-B14
    Himawari AHI Japan B14 Infrared
  348. Himawari AHI Japan B14 Infrared enhanced
    ID: HIMAWARI-JP-B14-GRAD
    View of HIMAWARI-JP-B14
  349. Himawari AHI Target B03 Hi-Res "Red" Visible
    ID: HIMAWARI-T1-B03
    Himawrai AHI Target B03 Hi-Res "Red" Visible
  350. Himawari AHI Target B07 "Fire"
    ID: HIMAWARI-T1-B07
    Himawari AHI Target B07 "Fire"
  351. Himawari AHI Target B07 enhanced
    ID: HIMAWARI-T1-B07-FIRE
    View of HIMAWARI-T1-B07
  352. Himawari AHI Target B14 Infrared
    ID: HIMAWARI-T1-B14
    Himawari AHI Target B14 Infrared
  353. Himawari AHI Target B14 Infrared enhanced
    ID: HIMAWARI-T1-B14-GRAD
    Himawari AHI Target B14 Infrared enhanced
  354. Himawari AHI Target Mid-level Water Vapor
    ID: HIMAWARI-T1-B09
    Himawari AHI Target Mid-level Water Vapor
  355. Himawari AHI Target Mid-level Water Vapor enhanced
    ID: HIMAWARI-T1-B09-VAPR
    Himawari AHI Target Mid-level Water Vapor enhanced
  356. HRR-CONUS-PCP-SFC
    ID: HRR-CONUS-PCP-SFC
    HRR-CONUS-PCP-SFC
  357. HRRR ConUS Latest Simulated Radar
    ID: HRR-CONUS-RADAR-LATEST
    View of HRR-CONUS-PCP-SFC
  358. HRRR Surface Smoke Forecast
    ID: HRRR-smoke-surface-2
    NOAA Earth System Research Laboratory High Resolution Rapid Refresh (HRRR) Surface Smoke forecast model, uses VIIRS inputs.
  359. HRRR Vertically Integrated Smoke Fcst
    ID: HRRR-smoke-column
    NOAA Earth System Research Laboratory High Resolution Rapid Refresh (HRRR) Vertically Integrated Smoke forecast model, uses VIIRS inputs.
  360. Hurricane Harvey Post-Event Imagery
    ID: post-harvey-digital-globe
    This true-color WorldView-4 satellite imagery product is provided through DigitalGlobe"s Open Data Program under a Creative Commons Attribution Non-Commercial 4.0 license.
  361. Hydro Estimator Rainfall
    ID: 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) 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.
  362. Icing Advisory
    ID: AIRMET-ICE
    AIRMET Icing Advisory
  363. Icing Base Altitude
    ID: ICING-BASE
    ICING: ConUS Base Altitude (kft)
  364. Icing Threat Potential
    ID: ICING-THREAT
    ICING: ConUS Threat Potential (Cat)
  365. Icing Top Altitude
    ID: ICING-TOP
    ICING: ConUS Top Altitude (kft)
  366. IFR Advisory
    ID: AIRMET-IFR
    AIRMET-IFR Advisory
  367. Infrared 6 inch Imagery of Madison
    ID: madisonir
    Infrared 6 inch Imagery of Madison
  368. Infrared 6 inch Imagery of Madison
    ID: madisonir
    Infrared 6 inch Imagery of Madison
  369. IR Winds 250-100mb
    ID: AMV-ULhigh
    AMV: Upper Level IR/WV (100-250mb)
  370. IR Winds 350-251mb
    ID: AMV-ULmid
    AMV: Upper Level IR/WV (251-350mb)
  371. IR Winds 500-351mb
    ID: AMV-ULlow
    AMV: Upper Level IR/WV (351-500mb)
  372. IR Winds 599-400mb
    ID: AMV-LLhigh
    AMV: 400-599mb Low Level IR winds
  373. IR Winds 799-600mb
    ID: AMV-LLmid
    AMV: Lower Level IR (600-799mb)
  374. IR Winds 950-800mb
    ID: AMV-LLlow
    AMV: Lower Level IR (800-950mb)
  375. Lake Michigan Surface Currents
    ID: glofsnowcast
    Water currents speed and direction of the top level in Lake Michigan from The Great Lakes Operational Forecast System (GLOFS), uint: m/s
  376. Landsat-7 Orbit
    ID: POESNAV-LSAT7
  377. Landsat-8 Orbit
    ID: POESNAV-LSAT8
  378. landsat-example
    ID: landsat-example
  379. Landsat Footprints (WRS-2)
    ID: 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.
  380. Landsat Look Natural Color
    ID: lsat8-llook-fc
    LandsatLook images are full resolution files derived from Landsat Level 1 data products. The images are compressed and stretched to create an image optimized for image selection and visual interpretation. "Natural Color" is a false color composite that minimizes haze by combining bands 6 (1.57 - 1.65µ), 5 (0.85 - 0.88µ), and 4 (0.64 - 0.67µ) as Red, Green, and Blue.
  381. Landsat Look Thermal IR
    ID: lsat8-llook-tir
    The LandsatLook "Thermal" image is a one-band gray scale .jpg image made to display thermal properties of the scene. The image is made from band 10 (10.60 - 11.19µ) with darker values representing colder temperatures.
  382. LaRC Cloud Phase GOESE 8km
    ID: LARC-CloudPhase-GOESE-8km
    LaRC Cloud Phase GOESE 8km
  383. LaRC Cloud Phase GOESW 8km
    ID: LARC-CloudPhase-GOESW-8km
    LaRC Cloud Phase GOESW 8km
  384. LaRC Cloud Phase HM 8km
    ID: LARC-CloudPhase-HM-8km
    LaRC Cloud Phase HM 8km
  385. LaRC Cloud Phase MET8 9km
    ID: LARC-CloudPhase-MET8-9km
    LaRC Cloud Phase MET8 9km
  386. LaRC Cloud Phase MSG 9km
    ID: LARC-CloudPhase-MSG-9km
    LaRC Cloud Phase MSG 9km
  387. LaRC Cloud Top Height GOESE 8km
    ID: LARC-CloudZtop-GOESE-8km
    LaRC Cloud Top Height GOESE 8km
  388. LaRC Cloud Top Height GOESW 8km
    ID: LARC-CloudZtop-GOESW-8km
    LaRC Cloud Top Height GOESW 8km
  389. LaRC Cloud Top Height HM 8km
    ID: LARC-CloudZtop-HM-8km
    LaRC Cloud Top Height HM 8km
  390. LaRC Cloud Top Height MET8 9km
    ID: LARC-CloudZtop-MET8-9km
    LaRC Cloud Top Height MET8 9km
  391. LaRC Cloud Top Height MSG 9km
    ID: LARC-CloudZtop-MSG-9km
    LaRC Cloud Top Height MSG 9km
  392. Low/High Pressure
    ID: HighLow
    NCEP Frontal Analysis: Highs and Lows
  393. MADIS Surface DewPoint
    ID: MADIS-dewt
    The MADIS Surface Dewpoint uses a 2-dimensional boxcar spatial convolution to smooth hourly average surface observations from the NCEP Meteorological Assimilation Data Ingest System (MADIS) to a grid resolution of 0.7 degree latitude/longitude. The source data is obtained in near-real time from https://madis.ncep.noaa.gov/.
  394. Maximum Arctic Sea Ice Extent
    ID: Max-Arctic-Sea-Ice-Extent
    This product represents a single date selected by researchers to show the maximum extent of Arctic sea ice in recent years. These data are from the U.S. National Ice Center (NIC), a multi-agency center operated by the United States Navy, the National Oceanic and Atmospheric Administration, and the United States Coast Guard.
  395. Mean Snow Duration 1988-2017
    ID: mean-snow-cover-1988-2017
    mean-snow-cover-1988-2017
  396. MESHaccum
    ID: MESHaccum
  397. MESO1
    ID: MESO1
  398. METAR
    ID: SSEC-METAR
    Global METAR
  399. Mexico IR
    ID: MEXICOIR
    Mexico Infrared 4km - Gray Scale (Tb)
  400. Mexico Visible
    ID: MEXICOVis
    Mexico Visible 1km (60 min, GEO)
  401. MIMIC Total Precip Water Hi-Res color
    ID: MIMICTPWHRE
    MIMIC-TPW2 Hi-Res is an experimental global product of total precipitable water (TPW), using morphological compositing of the MIRS retrieval from several available operational microwave-frequency sensors. MIMIC stands for "Morphed Integrated Microwave Imagery at CIMSS." The specific technique used here was initially described in a 2010 paper by Wimmers and Velden. This Hi-Res Version is interpolated and smoothed from the MIMIC-TPW2 product to 2 km resolution.
  402. MIMIC Total Precip Water Hi-Res gray
    ID: MIMICTPWHR
    MIMIC-TPW2 Hi-Res is an experimental global product of total precipitable water (TPW), using morphological compositing of the MIRS retrieval from several available operational microwave-frequency sensors. MIMIC stands for "Morphed Integrated Microwave Imagery at CIMSS." The specific technique used here was initially described in a 2010 paper by Wimmers and Velden. This Hi-Res Version is interpolated and smoothed from the MIMIC-TPW2 product to 2 km resolution.
  403. MIMIC Total Precip Water v1 color
    ID: MIMICTPW
    The MIMIC-TPW product presents total precipitable water over the ocean, retrieved from SSMI and AMSR-E microwave sensors. The final product is an hourly composite of many swaths of TPW retrievals, advected to the required time using 1000-600 hPa winds from the GFS model.
  404. MIMIC Total Precip Water v2 color
    ID: MIMICTPW2E
    MIMIC-TPW2 is an experimental global product of total precipitable water (TPW), using morphological compositing of the MIRS retrieval from several available operational microwave-frequency sensors. MIMIC stands for "Morphed Integrated Microwave Imagery at CIMSS." The specific technique used here was initially described in a 2010 paper by Wimmers and Velden. This Version 2 is developed from an older method (still running in real-time) that uses simpler, but more limited TPW retrievals and advection calculations.
  405. MIMIC Total Precip Water v2 gray
    ID: MIMICTPW2
    MIMIC-TPW2 is an experimental global product of total precipitable water (TPW), using morphological compositing of the MIRS retrieval from several available operational microwave-frequency sensors. MIMIC stands for "Morphed Integrated Microwave Imagery at CIMSS." The specific technique used here was initially described in a 2010 paper by Wimmers and Velden. This Version 2 is developed from an older method (still running in real-time) that uses simpler, but more limited TPW retrievals and advection calculations.
  406. MIRS 90Ghz Brightness Temperature
    ID: MIRS-BT90
    MIRS 90Ghz Brightness Temperature
  407. MIRS Rain Rate
    ID: MIRS-RainRate
    MIRS Rain Rate
  408. Mountains Obscured Advisory
    ID: AIRMET-MTN
    AIRMET-Mountain Obscured Advisory
  409. MRMS MergedReflectivity
    ID: MERGEDREF
    Multi-Radar/Multi-Sensor MergedReflectivityQCComposite
  410. MRMS Rotation Tracks - LL 60min
    ID: RotationTrackLL60min
    Provides a history of the intensity and spatial coverage of strong storm circulations that may be associated with mesocyclones, tornadoes, and/or damaging winds. Used to determine if a storm has intensified or decayed over time. 0–2-km Azimuthal Shear Tracks have shown enormous utility after events for guidance in immediately directing damage survey ground teams and aircraft, the Red Cross, and other first responders to areas most likely affected by tornadoes.
  411. MRMS Rotation Tracks - LL 1440min
    ID: RotationTrackLL1440min
    Provides a history of the intensity and spatial coverage of strong storm circulations that may be associated with mesocyclones, tornadoes, and/or damaging winds. Used to determine if a storm has intensified or decayed over time. 0–2-km Azimuthal Shear Tracks have shown enormous utility after events for guidance in immediately directing damage survey ground teams and aircraft, the Red Cross, and other first responders to areas most likely affected by tornadoes.
  412. MUCAPE
    ID: MUCAPEPS
    ProbSevere merged smoothed MUCAPE [J/kg]
  413. NAIP WI
    ID: NAIPWI
    National Agricultural Imagery Program aerial photography from the Wisconsin Farm Service Agency (WI-FSA) of the USDA.
  414. NAIP WI Color Infrared
    ID: NAIPWICIR
    National Agricultural Imagery Program aerial photography from the Wisconsin Farm Service Agency (WI-FSA) of the USDA (Color Infrared)
  415. NAM-CONUS-PRAT-SFC
    ID: NAM-CONUS-PRAT-SFC
    NAM-CONUS-PRAT-SFC
  416. NEXRAD Alaska Base Reflectivity
    ID: NEXRAD-Alaska
    NEXRAD-Alaska
  417. NEXRAD antenna coverage
    ID: NEXRADrange
    NEXRAD: 124NMI coverage
  418. NEXRAD antenna locations
    ID: NEXRADsite
    NEXRAD sites and status
  419. NEXRAD CanAm Base Reflectivity
    ID: nexrcomp
    NEXRAD CanAm Base Reflectivity
  420. NEXRAD CanAm Base Reflectivity mask
    ID: nexrrain
    NEXRAD CanAm base Reflectivity mask
  421. NEXRAD CanAm Precipitation Phase
    ID: nexrphase
    NEXRAD CanAm Precipitation Phase
  422. NEXRAD ConUS 1hr Precipitation Total
    ID: nexr1hpcp
    NEXRAD ConUS 1hr Precipitation Total
  423. NEXRAD ConUS Digital Integrated Liquid
    ID: nexrdvl
    NEXRAD ConUS Digital Integrated Liquid
  424. NEXRAD ConUS Enhanced Echo Tops
    ID: nexreet
    NEXRAD ConUS Enhanced Echo Tops
  425. NEXRAD ConUS Hybrid Hydrometeor Class
    ID: nexrhhc
    NEXRAD ConUS Hybrid Hydrometeor Class
  426. NEXRAD ConUS Hybrid Reflectivity
    ID: nexrdhr
    NEXRAD ConUS Hybrid Reflectivity
  427. NEXRAD ConUS Hybrid Reflectivity mask
    ID: nexrhres
    NEXRADConUS Hybrid Reflectivity mask
  428. NEXRAD ConUS Storm Total Precipitation
    ID: nexrstorm
    NEXRAD ConUS Storm Total Precipitation
  429. NEXRAD Guam Base Reflectivity
    ID: NEXRAD-Guam
    NEXRAD Guam Base Reflectivity
  430. NEXRAD Hawaii Base Reflectivity
    ID: NEXRAD-Hawaii
    NEXRAD Hawaii Base Reflectivity
  431. NEXRAD Puerto Rico Base Reflectivity
    ID: NEXRAD-PuertoRico
    NEXRAD Puerto Rico Base Reflectivity
  432. Night Fog IR/SWIR
    ID: conusfog
    Continental US Night Fog 4km - IR/SWIR Tdiff
  433. NOAA-15 Orbit
    ID: POESNAV-N15
  434. NOAA-18 Orbit
    ID: POESNAV-N18
  435. NOAA-20 Orbit
    ID: POESNAV-N20
  436. NOAA-20 VIIRS Daily DNB (Adaptive)
    ID: j01-viirs-adaptive-dnb-daily
    j01-viirs-adaptive-dnb-daily
  437. NOAA-20 VIIRS Daily I02
    ID: j01-viirs-i02-daily
    j01-viirs-i02-daily
  438. NOAA-20 VIIRS Daily I05
    ID: j01-viirs-i05-daily
    j01-viirs-i05-daily
  439. NOAA-20 VIIRS Daily I05 (tops)
    ID: j01-viirs-i05-daily-tops
    View of j01-viirs-i05-daily
  440. NOAA-20 VIIRS Daily True Color
    ID: j01-viirs-true-color-daily
    j01-viirs-true-color-daily
  441. NOAA-20 VIIRS Hourly DNB (Adaptive)
    ID: j01-viirs-adaptive-dnb
    j01-viirs-adaptive-dnb
  442. NOAA-20 VIIRS Hourly I02
    ID: j01-viirs-i02
    j01-viirs-i02
  443. NOAA-20 VIIRS Hourly I05
    ID: j01-viirs-i05
    j01-viirs-i05
  444. NOAA-20 VIIRS Hourly I05 (tops)
    ID: j01-viirs-i05-tops
    View of j01-viirs-i05
  445. NOAA-20 VIIRS Hourly True Color
    ID: j01-viirs-true-color
    j01-viirs-true-color
  446. NPP Aerosol Optical Depth
    ID: nppaod
    NPP Aerosol Optical Depth
  447. NPP Day/Night AM Composite - Adaptive
    ID: nppadpam
    NPP Day/Night AM Composite - Adaptive
  448. NPP Day/Night AM Composite - Histogram
    ID: npphstam
    NPP Day/Night AM Composite - Histogram
  449. NPP Day/Night Band (DNB) - Honolulu DB
    ID: nppdnbdyn-hnl
    NPP Day/Night Band (DNB) - Honolulu DB
  450. NPP Day/Night Band (DNB) - Madison DB
    ID: nppdnbdyn-msn
    NPP Day/Night Band (DNB) - Madison DB
  451. NPP Day/Night Band (DNB) - Miami DB
    ID: nppdnbdyn-mia
    NPP Day/Night Band (DNB) - Miami DB
  452. NPP Day/Night Band (DNB) - Puerto Rico DB
    ID: nppdnbdyn-upr
    NPP Day/Night Band (DNB) - Puerto Rico DB
  453. NPP Day/Night Band - Dynamic
    ID: nppdnb
    NPP Day/Night Band - Dynamic
  454. NPP False Color
    ID: nppfc
    NPP False Color
  455. NPP False Color (FC) - Madison DB
    ID: nppfc-msn
    NPP False Color (FC) - Madison DB
  456. NPP Orbit
    ID: POESNAV-NPP
  457. NPP Sea Surface Temperature
    ID: nppsst
    NPP Sea Surface Temperature
  458. NPP Sea Surface Temperature (SST) - Madison DB
    ID: nppsst-msn
    NPP Sea Surface Temperature (SST) - Madison DB
  459. NPP True Color (TC) - Global
    ID: GLOBALnpptc
    NPP True Color (TC) - Global
  460. NPP True Color (TC) - Honolulu DB
    ID: npptc-hnl
    NPP True Color (TC) - Honolulu DB
  461. NPP True Color (TC) - Madison DB
    ID: npptc-msn
    NPP True Color (TC) - Madison DB
  462. NPP True Color (TC) - Miami DB
    ID: npptc-mia
    NPP True Color (TC) - Miami DB
  463. NPP True Color (TC) - Puerto Rico DB
    ID: npptc-upr
    NPP True Color (TC) - Puerto Rico DB
  464. NPP VIIRS Day/Night Band Adaptive Equalized Composites (Day)
    ID: nppdnbada-day
    NPP VIIRS Day/Night Band Adaptive Equalized Histogram Composites (Day)
  465. NPP VIIRS Day/Night Band Adaptive Equalized Composites (Night)
    ID: nppdnbada-night
    NPP VIIRS Day/Night Band Adaptive Equalized Composites (Night)
  466. NPP VIIRS Day/Night Band Adaptive Equalized Swaths
    ID: nppdnbada-pass
    NPP VIIRS Day/Night Band Adaptive Equalized Swaths
  467. NPP VIIRS Day/Night Band ERF Equalized Composites (Day)
    ID: nppdnbdyn-day
    NPP VIIRS Day/Night Band ERF Equalized Composites (Day)
  468. NPP VIIRS Day/Night Band ERF Equalized Composites (Night)
    ID: nppdnbdyn-night
    NPP VIIRS Day/Night Band ERF Equalized Composites (Night)
  469. NPP VIIRS Day/Night Band ERF Equalized Swaths
    ID: nppdnbdyn-pass
    NPP VIIRS Day/Night Band ERF Equalized Swaths
  470. NPP VIIRS False Color Composites (Day)
    ID: nppfc-day
    NPP VIIRS False Color Composites (Day)
  471. NPP VIIRS False Color Swaths
    ID: nppfc-pass
    NPP VIIRS False Color Swaths
  472. NPP VIIRS Long Wave Infrared Composites (Day)
    ID: npplwir-day
    NPP VIIRS Long Wave Infrared Composites (Day)
  473. NPP VIIRS Long Wave Infrared Composites (Night)
    ID: npplwir-night
    NPP VIIRS Long Wave Infrared Composites (Night)
  474. NPP VIIRS Long Wave Infrared Swaths
    ID: npplwir-pass
    NPP VIIRS Long Wave Infrared Swaths
  475. NPP VIIRS Near Infrared Composites (Day)
    ID: nppnir-day
    NPP VIIRS Near Infrared Composites (Day)
  476. NPP VIIRS Near Infrared Swaths
    ID: nppnir-pass
    NPP VIIRS Near Infrared Swaths
  477. NPP VIIRS Short Wave Infrared Composites (Day)
    ID: nppswir-day
    NPP VIIRS Short Wave Infrared Composites (Day)
  478. NPP VIIRS Short Wave Infrared Composites (Night)
    ID: nppswir-night
    NPP VIIRS Short Wave Infrared Composites (Night)
  479. NPP VIIRS Short Wave Infrared Swaths
    ID: nppswir-pass
    NPP VIIRS Short Wave Infrared Swaths
  480. NPP VIIRS True Color Composites (Day)
    ID: npptc-day
    NPP VIIRS True Color Composites (Day)
  481. NPP VIIRS True Color Swaths
    ID: npptc-pass
    NPP VIIRS True Color Swaths
  482. NPP VIIRS Visible-1 Composites (Day)
    ID: nppvis1-day
    NPP VIIRS Visible-1 Composites (Day)
  483. NPP VIIRS Visible-1 Swaths
    ID: nppvis1-pass
    NPP VIIRS Visible-1 Swaths
  484. NPP VIIRS Visible-2 Composites (Day)
    ID: nppvis2-day
    NPP VIIRS Visible-2 Composites (Day)
  485. NPP VIIRS Visible-2 Swaths
    ID: nppvis2-pass
    NPP VIIRS Visible-2 Swaths
  486. NUCAPS-MADIS-SBCAPE
    ID: NUCAPS-MADIS-SBCAPE
    The MADIS-NUCAPS Surface-Based CAPE merges hourly average surface observations from the NCEP Meteorological Assimilation Data Ingest System (MADIS) with NOAA NUCAPS soundings from the most recent overpass of operational meteorological satellites (SNPP, METOP, or NOAA-20). The SB-CAPE is computed using the SHARPYpy software derived from software used by the NWS Storm Prediction Center (SPC). The satellite data are obtained using the SSEC direct broadcast antennae, processed using CSPP software in near-real time, and displayed in near-real time using SSEC"s RealEarth.
  487. NUCAPS-MADIS Mean Layer CAPE
    ID: NUCAPS-MADIS-MLCAPE
    NUCAPS-MADIS-MLCAPE
  488. NUCAPS-MADIS Mean Layer CIN
    ID: NUCAPS-MADIS-MLCIN
    NUCAPS-MADIS-MLCIN
  489. NUCAPS-MADIS Mean Layer LI
    ID: NUCAPS-MADIS-MLLI
    NUCAPS-MADIS-MLLI
  490. NUCAPS-MADIS Surface CAPE
    ID: MADIS-NUCAPS-Surface-CAPE
    The MADIS-NUCAPS Surface-Based CAPE merges hourly average surface observations from the NCEP Meteorological Assimilation Data Ingest System (MADIS) with NOAA NUCAPS soundings from the most recent overpass of operational meteorological satellites (SNPP, METOP, or NOAA-20). The SB-CAPE is computed using the SHARPYpy software derived from software used by the NWS Storm Prediction Center (SPC). The satellite data are obtained using the SSEC direct broadcast antennae, processed using CSPP software in near-real time, and displayed in near-real time using SSEC"s RealEarth.
  491. NUCAPS-MADIS Surface CIN
    ID: NUCAPS-MADIS-SBCIN
    NUCAPS-MADIS-SBCIN
  492. NUCAPS-MADIS Surface LI
    ID: NUCAPS-MADIS-SBLI
    NUCAPS-MADIS-SBLI
  493. NWS-AK-TPCP-1DAY
    ID: NWS-AK-TPCP-1DAY
    NWS-AK-TPCP-1DAY
  494. NWS-CONUS-TPCP-1DAY
    ID: NWS-CONUS-TPCP-1DAY
    NWS-CONUS-TPCP-1DAY
  495. NWS County Warning Areas
    ID: NWSCWA
    NWS County Warning Areas
  496. NWSWARNS12Z12Z
    ID: NWSWARNS12Z12Z
    NWSWARNS12Z12Z (Severe and Tornado. No SVSs)
  497. Overshooting Tops targets
    ID: CIMSS-OTtargets
    Cloud OverShooting Tops targets
  498. Pilot Reports
    ID: PIREP
    Pilot Reports: Symbols
  499. Pressure contours ConUS
    ID: SFCCON-PMSL
    Surface Contours: Sea Level Pressure (ConUS)
  500. Probabilistic Precip Forecast
    ID: PQPF6hr
    WPC 6hr Probabilistic Precip PQPF .01in (%) Purpose – The probabilistic quantitative precipitation forecast (PQPF) guidance is used by forecasters and hydrologists to determine the probability of any rainfall amount at a given location. The PQPF can be used to assist forecasters in the issuance of flash flood and flood watches at an WFO or RFC.
  501. PROBSEVACCUM
    ID: PROBSEVACCUM
    ≥ 50%
  502. ProbSevere
    ID: ProbSevere
    ProbSevere
  503. ProbSevere (version2)
    ID: PROBSEVERE
    The probability of any severe is the max(ProbHail,ProbWind,ProbTor).
  504. ProbSevere Accumulation 20% to 49%
    ID: PROBSEVACCUMLOW
    ProbSevere Accumulation 20% to 49%
  505. ProbSevRT
    ID: ProbSevRT
    View of ProbSevere
  506. PROBSEVTESTACCUM
    ID: PROBSEVTESTACCUM
  507. PROBSEVTESTACCUMLOW
    ID: PROBSEVTESTACCUMLOW
  508. PROBTOR
    ID: PROBTOR
  509. PROBTORACCUM
    ID: PROBTORACCUM
  510. Quantitative Precip Forecast
    ID: QPF6hr
    WPC 6hr Quantitative Precip Forecast QPF (in)
  511. RAP ConUS Latest Simulated Radar
    ID: RAP-CONUS-PRAT-SFC-DBZ
    View of RAP-CONUS-PRAT-SFC
  512. RAP ConUS Precipitation Rate
    ID: RAP-CONUS-PRAT-SFC
    RAP-CONUS-PRAT-SFC
  513. rcdtest
    ID: rcdtest
  514. River-ICE-CONCENTRATION: Alaska
    ID: RVER-ICEC-AP
    CIMSS hosts a flood product developed at a river ice product developed at City College of New York (CCNY) derived from VIIRS. The CCNY algorithm produces an enhanced river ice mapping product with river ice concentration. Products are generated with direct broadcast VIIRS data in near real-time. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Algorithm Version5.0, Alaska region
  515. RIVER-ICE-CONCENTRATION: Missouri Basin
    ID: RVER-ICEC-MB
    CIMSS hosts a flood product developed at a river ice product developed at City College of New York (CCNY) derived from VIIRS. The CCNY algorithm produces an enhanced river ice mapping product with river ice concentration. Products are generated with direct broadcast VIIRS data in near real-time. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Algorithm Version4.3, Missouri Basin (product off-line in summer)
  516. River-ICE-CONCENTRATION: North Central Basin
    ID: RVER-ICEC-NC
    CIMSS hosts a flood product developed at a river ice product developed at City College of New York (CCNY) derived from VIIRS. The CCNY algorithm produces an enhanced river ice mapping product with river ice concentration. Products are generated with direct broadcast VIIRS data in near real-time. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Algorithm Version4.3, North Central Basin (product off-line in summer)
  517. River-ICE-CONCENTRATION: North East Basin
    ID: RVER-ICEC-NE
    CIMSS hosts a flood product developed at a river ice product developed at City College of New York (CCNY) derived from VIIRS. The CCNY algorithm produces an enhanced river ice mapping product with river ice concentration. Products are generated with direct broadcast VIIRS data in near real-time. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Algorithm Version4.3, North East Basin (product off-line in summer)
  518. River Flood: ABI-daily
    ID: 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, 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
  519. River Flood: ABI-daily (tsp)
    ID: 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
  520. River Flood: ABI-hourly
    ID: 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
  521. River Flood: ABI-hourly (tsp)
    ID: 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
  522. River Flood: Alaska
    ID: 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 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
  523. River Flood: Alaska (transparent)
    ID: 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 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
  524. River Flood: Global
    ID: 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 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
  525. River Flood: Global (enhanced)
    ID: RIVER-FLDglobal-enh
    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, enhanced color table) Quick guide
  526. River Flood: Missouri Basin
    ID: 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 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
  527. River Flood: Missouri Basin (transparent)
    ID: 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 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
  528. River Flood: North Central Basin
    ID: 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 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
  529. River Flood: North Central Basin (transparent)
    ID: 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 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
  530. River Flood: North East Basin
    ID: 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 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
  531. River Flood: North East Basin (transparent)
    ID: 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 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
  532. River Flood: North West
    ID: 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 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
  533. River Flood: North West (transparent)
    ID: 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 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
  534. River Flood: South East
    ID: 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 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
  535. River Flood: South East (transparent)
    ID: 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 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
  536. River Flood: South West
    ID: 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 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
  537. River Flood: South West (tsp)
    ID: 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 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
  538. River Flood: US
    ID: 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 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
  539. River Flood: US (transparent)
    ID: 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 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
  540. River Flood: West Gulf Basin
    ID: 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 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
  541. River Flood: West Gulf Basin (transparent)
    ID: 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 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
  542. River Ice: Alaska
    ID: RIVER-ICE-AP
    CIMSS hosts a flood product developed at a river ice product developed at City College of New York (CCNY) derived from VIIRS. The CCNY algorithm produces an enhanced river ice mapping product with river ice extent. Products are generated with direct broadcast VIIRS data in near real-time. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Algorithm Version5.0, Alaska
  543. River Ice: Missouri Basin
    ID: RIVER-ICE-MB
    CIMSS hosts a flood product developed at a river ice product developed at City College of New York (CCNY) derived from VIIRS. The CCNY algorithm produces an enhanced river ice mapping product with river ice extent. Products are generated with direct broadcast VIIRS data in near real-time. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Algorithm Version4.3, Missouri Basin (product off-line in summer)
  544. River Ice: North Central Basin
    ID: RIVER-ICE-NC
    CIMSS hosts a flood product developed at a river ice product developed at City College of New York (CCNY) derived from VIIRS. The CCNY algorithm produces an enhanced river ice mapping product with river ice extent. Products are generated with direct broadcast VIIRS data in near real-time. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Algorithm Version4.3, North Central Basin (product off-line in summer)
  545. River Ice: North East Basin
    ID: RIVER-ICE-NE
    CIMSS hosts a flood product developed at a river ice product developed at City College of New York (CCNY) derived from VIIRS. The CCNY algorithm produces an enhanced river ice mapping product with river ice extent. Products are generated with direct broadcast VIIRS data in near real-time. These products could be useful to other institutions that monitor river ice and flooding conditions, especially in mid- and high-latitude locations. Algorithm Version4.3, Northeast Basin (product off-line in summer)
  546. RVER-ICEX-AP
    ID: RVER-ICEX-AP
  547. RVER-ICEX-MB
    ID: RVER-ICEX-MB
  548. RVER-ICEX-NC
    ID: RVER-ICEX-NC
  549. RVER-ICEX-NE
    ID: RVER-ICEX-NE
  550. RVER-ICEX-NW
    ID: RVER-ICEX-NW
  551. Satellite Smoke Plumes
    ID: SSD-SMOKE
    Product shows the detected smoke plumes indicating possible fire locations. This is a blended product using algorithms for the GOES Imager, the POES AVHRR and MODIS. Significant smoke plumes that are detected by the satellites are outlined by the analyst as well with an estimate of the smoke concentration provided. This product is created and updated as needed between 1 PM and 11 PM Eastern time. The graphical HMS product is finalized once daily.
  552. Satellite WildFires
    ID: SSD-FIRE
    Product shows the detected hot spots indicating possible fire locations. This is a blended product using algorithms for the GOES Imager, the POES AVHRR, SNPP VIIRS and MODIS. A quality control procedure is performed by an analyst on the automated fire detections. This product is created and updated as needed between 1 PM and 11 PM Eastern time. After 11 PM the analysis is fine-tuned as time permits. The graphical HMS product is finalized once daily.
  553. Sea Ice Concentration
    ID: NPP-SIC-ENH
    The Sea Ice Concentration product is based on NOAA Enterprise Algorithm. The original spatial resolution is 750 m as the data input are VIIRS M band at 750 m resolution. It is regridded to the original resolution to 1 km EASE2-Grid. For the reference, you can refer to Liu, Y., Key, J., & Mahoney, R. (2016). Sea and freshwater ice concentration from VIIRS on Suomi NPP and the future JPSS satellites. Remote Sensing, 8(6), 523.
  554. Sea Surface Temperature
    ID: NESDIS-SST
    NESDIS: Hi-Res Sea Surface Temperature
  555. SENTINEL 2A Orbit
    ID: POESNAV-SEN2A
    POESNAV-SEN2A
  556. SENTINEL 2B Orbit
    ID: POESNAV-SEN2B
    POESNAV-SEN2B
  557. Severe Weather Outlook Day2
    ID: SPCsvday2
    Severe Weather Outlook Day2
  558. Severe Weather Outlook Day3
    ID: SPCsvday3
    Severe Weather Outlook Day3
  559. Severe Weather Outlook Day4
    ID: SPCsvday4
    Severe Weather Outlook Day4
  560. Severe Weather Outlook Day5
    ID: SPCsvday5
    Severe Weather Outlook Day5
  561. Severe Weather Warning Outlines
    ID: SevereOutl
    Tornado, Thunderstorm, Flash Flood and Marine Warnings (outlines only, no fill)
  562. Severe Weather Warnings
    ID: Severe
    Tornado, Thunderstorm, Flash Flood and Marine Warning polygons.
  563. Severe Weather Warning Vectors
    ID: SevereVect
    Tornado and Thunderstorm Warning Vectors
  564. Severe Weather Watch Box
    ID: SAW
    Severe Weather Watch Box - Aviation
  565. Severe Wind Outlook Day1
    ID: SPCwnday1
    Severe Wind Outlook Day1 (%)
  566. Ship & Buoy
    ID: SSEC-ShipBuoy
    SSEC - ShipBuoy
  567. SIGMET Convective
    ID: SIGMET-Convective
    SIGMET-Convective
  568. SIGMET Outlook
    ID: SIGMET-Outlook
    SIGMET-Outlook
  569. SKITrails
    ID: SKITrails
    SKITrails
  570. Snow Fall Rate
    ID: NESDIS-SnowFallRate
    AMSU Snow Fall Rate Global by NOAA-NESDIS
  571. SNPP VIIRS Daily DNB (Adaptive)
    ID: npp-viirs-adaptive-dnb-daily
    npp-viirs-adaptive-dnb-daily
  572. SNPP VIIRS Daily I02
    ID: npp-viirs-i02-daily
    npp-viirs-i02-daily
  573. SNPP VIIRS Daily I05
    ID: npp-viirs-i05-daily
    npp-viirs-i05-daily
  574. SNPP VIIRS Daily I05 (tops)
    ID: npp-viirs-i05-daily-tops
    View of npp-viirs-i05-daily
  575. SNPP VIIRS Daily True Color
    ID: npp-viirs-true-color-daily
    npp-viirs-true-color-daily
  576. SNPP VIIRS Hourly DNB (Adaptive)
    ID: npp-viirs-adaptive-dnb
    npp-viirs-adaptive-dnb
  577. SNPP VIIRS Hourly I02
    ID: npp-viirs-i02
    npp-viirs-i02
  578. SNPP VIIRS Hourly I05
    ID: npp-viirs-i05
    npp-viirs-i05
  579. SNPP VIIRS Hourly I05 (tops)
    ID: npp-viirs-i05-tops
    View of npp-viirs-i05
  580. SNPP VIIRS Hourly True Color
    ID: npp-viirs-true-color
    npp-viirs-true-color
  581. SPC reports 12Z to 12Z
    ID: SPCREPS12Z12Z
    SPCREPS12Z12Z
  582. Storm Cell Id and Tracking - Point
    ID: SCIT-PNT
    Storm Cell Identification and Tracking (SCIT) Filters CELL | Cell Id SITE | NEXRAD Site Id TVS | Tornado Vortex Signature MDA | Mesocyclone
  583. Storm Cell Id and Tracking - Track
    ID: SCIT
    Storm Cell Id and Tracking - Track
  584. Storm Relative Velocity ARX
    ID: NEXRAD-ARX-SRVEL1
    NEXRAD: Storm Relative Velocity ARX (kts)
  585. Storm Relative Velocity GRB
    ID: NEXRAD-GRB-SRVEL1
    NEXRAD Storm Relative Velocity GRB
  586. Storm Relative Velocity MKX
    ID: NEXRAD-MKX-SRVEL1
    NEXRAD: Storm Relative Velocity MKX (kts)
  587. Storm Relative Velocity site1
    ID: NEXRAD-site1-SRVEL1
    NEXRAD: Storm Relative Velocity SITE1 (kts)
  588. Storm Relative Velocity site2
    ID: NEXRAD-site2-SRVEL1
    NEXRAD: Storm Relative Velocity SITE2 (kts)
  589. Storm Relative Velocity site3
    ID: NEXRAD-site3-SRVEL1
    NEXRAD: Storm Relative Velocity SITE3 (kts)
  590. Storm Reports 3hrs
    ID: StormReports
    Storm Reports (last 3hrs)
  591. Storm Reports 24hrs
    ID: StormReports24
    Storm Reports (last 24hrs)
  592. Stroke Density XP
    ID: XLSD
    XLSD - Experimental product, Restricted to SSEC internal use only!
  593. SVRWARNS12Z12Z
    ID: SVRWARNS12Z12Z
  594. Temperature analysis
    ID: sfcTemp
    Surface Contours: Air Temperature (Regional)
  595. Temperature contours ConUS
    ID: SFCCON-T
    Surface Contours: Air Temperature (ConUS)
  596. Temperature contours Europe
    ID: SFCEURO-T
    SFCON: Surface Air Temperature (ConEU)
  597. Terminal Area Forecasts
    ID: TAF
    Terminal Aerodrome Forecast (TAF)
  598. Terra Aerosol Optical Depth
    ID: TERRA-AER
    MODIS: TERRA Aerosol Optical Depth (ta)
  599. Terra False Color
    ID: terrafalsecolor
    CIMSS-MODIS Satellite False Color (Terra)
  600. Terra Land Surface True Color
    ID: GLOBALterratc
    MODIS: Terra land Surface True Color composite
  601. Terra MODIS False Color Composites (Day)
    ID: terrafc-day
    Terra MODIS False Color Composites (Day)
  602. Terra MODIS False Color Swaths
    ID: terrafc-pass
    Terra MODIS False Color Swaths
  603. Terra MODIS Infrared Composites (Day)
    ID: terrair-day
    Terra MODIS Infrared Composites (Day)
  604. Terra MODIS Infrared Composites (Night)
    ID: terrair-night
    Terra MODIS Infrared Composites (Night)
  605. Terra MODIS Infrared Swaths
    ID: terrair-pass
    Terra MODIS Infrared Swaths
  606. Terra MODIS Near Infrared Composites (Day)
    ID: terranir-day
    Terra MODIS Near Infrared Composites (Day)
  607. Terra MODIS Near Infrared Swaths
    ID: terranir-pass
    Terra MODIS Near Infrared Swaths
  608. Terra MODIS Short Wave Infrared Composites (Day)
    ID: terraswir-day
    Terra MODIS Short Wave Infrared Composites (Day)
  609. Terra MODIS Short Wave Infrared Composites (Night)
    ID: terraswir-night
    Terra MODIS Short Wave Infrared Composites (Night)
  610. Terra MODIS Short Wave Infrared Swaths
    ID: terraswir-pass
    Terra MODIS Short Wave Infrared Swaths
  611. Terra MODIS True Color Composites (Day)
    ID: terratc-day
    Terra MODIS True Color Composites (Day)
  612. Terra MODIS True Color Swaths
    ID: terratc-pass
    Terra MODIS True Color Swaths
  613. Terra MODIS Visible Composites (Day)
    ID: terravis-day
    Terra MODIS Visible Composites (Day)
  614. Terra MODIS Visible Swaths
    ID: terravis-pass
    Terra MODIS Visible Swaths
  615. Terra MODIS Water Vapor Composites (Day)
    ID: terrawv-day
    Terra MODIS Water Vapor Composites (Day)
  616. Terra MODIS Water Vapor Composites (Night)
    ID: terrawv-night
    Terra MODIS Water Vapor Composites (Night)
  617. Terra MODIS Water Vapor Swaths
    ID: terrawv-pass
    Terra MODIS Water Vapor Swaths
  618. TERRA Orbit
    ID: POESNAV-TERRA
  619. Terra True Color
    ID: terratruecolor
    CIMSS-MODIS Satellite True Color (Terra)
  620. TESTGRBRADF
    ID: TESTGRBRADF
    TESTGRBRADF
  621. Thunderstorm Watches/Warnings
    ID: WWSEVTRW
    Thunderstorm Watches and Warnings
  622. Tornado Outlook Day1
    ID: SPCtnday1
    Tornado Outlook Day1 (%)
  623. Tornado Watches/Warnings
    ID: WWTORNADO
    Tornado Watches and Warnings
  624. TORPATHS
    ID: TORPATHS
  625. TORWARNS12Z12Z
    ID: TORWARNS12Z12Z
  626. Total Column Sulphur Dioxide
    ID: AURA-SO2
    AURA - OMI Total Column Sulphur Dioxide (SO2)
  627. True Color Clear View
    ID: BRDF
    MODIS Clear View ConUS Composite. BRDF (Bidirectional Reflectance Distribution Function) is a 16-day cloud-free composite.
  628. TS Cones - Atlantic and EPacific
    ID: TSCONEALL
    TS Cones - Atlantic and EPacific
  629. TS Cones - CPacific and WPacific
    ID: PNCONEALL
    TS Cones - CPacific and WPacific
  630. TS HDOB - Atlantic points
    ID: TSHDOBATLparm
    TS HDOB - Atlantic points
  631. TS HDOB - Atlantic winds
    ID: TSHDOBATL
    TS HDOB - Atlantic winds
  632. TS HDOB - EPacific points
    ID: TSHDOBEPACparm
    TS HDOB - EPacific points
  633. TS HDOB - EPacific winds
    ID: TSHDOBEPAC
    TS HDOB - EPacific winds
  634. TS Points - Atlantic and EPacific
    ID: TSPOINTALL
    TS Points - Atlantic and EPacific
  635. TS Points - CPacific and WPacific
    ID: PNPOINTALL
    TS Points - CPacific and WPacific
  636. TS Tracks - Atlantic and EPacific
    ID: TSTRACKALL
    TS Tracks - Atlantic and EPacific
  637. TS Tracks - CPacific and WPacific
    ID: PNTRACKALL
    TS Tracks - CPacific and WPacific
  638. Turbulence Advisory
    ID: AIRMET-TURB
    AIRMET-Turlulence Advisory
  639. Urban Land Cover Sites
    ID: CapStone-sites
    Zach Olson"s GIS-Certificate Program capstone project.
  640. Vegetation Index
    ID: conusndvi
    NSSL Normalized Difference Vegetation Index
  641. viirs-toc-ndvi
    ID: viirs-toc-ndvi
    viirs-toc-ndvi
  642. VIIRS Active Fire Locations
    ID: FIRMS-VIIRSActiveFires
    FIRMS: VIIRS I-Band 375 m Active Fire Locations
  643. VIIRS Active Fire Locations (Raster)
    ID: FIRMS-VIIRSActiveFires-Raster
    View of FIRMS-VIIRSActiveFires
  644. VIIRS Aerosol Optical Depth
    ID: VIIRS-AOD
    VIIRS Aerosol Optical Depth
  645. VIIRS Cloud Optical Thickness
    ID: VIIRS-COT
    VIIRS Cloud Optical Thickness
  646. VIIRS Satellite Detected Fire Locations
    ID: VIIRS-Fire
    VIIRS Satellite Detected Fire Locations
  647. VIIRS True Color
    ID: VIIRS-TC
    VIIRS True Color
  648. Vis Winds 800-700mb
    ID: AMV-VISmid
    AMV: Middle Level Visible (700-800mb)
  649. Vis Winds 925-801mb
    ID: AMV-VISlow
    AMV: Lower Level Visible (801-925mb)
  650. Volcanic Ash Advisory
    ID: Volcano
    Volcanic Ash Advisories: Source Volcano
  651. Volcanic Ash Adv plumes
    ID: VAA
    Volcanic Ash Advisories: Ash Clouds
  652. WI Coastal Imagery
    ID: 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.
  653. WI Coastal LiDAR
    ID: WIcoastallidar
    WI Coastal LiDAR
  654. WI Coastal Shaded Relief
    ID: WIcoastalshdrlf
    WI coastal shaded relief map generated from LiDAR data.
  655. WI Lake Clarity
    ID: LakesTSI
    These data represent the estimated clarity, or transparency, of the 8,000 largest of those lakes as measured by satellite remote sensing (Landsat).
  656. Wind Hazards
    ID: WWIND
    Wind Hazards is a collection of alerts associated with all types of Wind related events. These Hazards are issued by the NWS WSFOs as Advisories, Watches and Warnings. WindEvents include Wind, LakeWind and HighWind categories. Click on objects to get a detailed description of the specific hazard.
  657. Winter Road Conditions
    ID: ROADS
    Northern Tier Winter Road Conditions (WRC) decoded from state DOT text.
  658. Winter Weather Hazards (Issued)
    ID: WWINTER
    Winter Weather is a collection of Hazards associated with all types of Winter precip and conditions. Hazards are issued by the NWS WSFOs as Advisories, Watches and Warnings. SnowEvents include SnowStorm, WinterStorm, Snow, HeavySnow, LakeEffectSnow and BlowingSnow. IceEvents include Sleet, HeavySleet, FreezingRain, IceStorm and FreezingFog. Click on objects to get a detailed description of the specific hazard.
  659. Winter Weather Hazards (Valid)
    ID: XWINTER
    The National Weather Service issues a variety of Winter Weather warnings, watches and advisories. The event type is indicated on the map by different colors. This product contains Winter Weather Hazards VALID for a 48hr Window spanning from the previous 24hrs to 24hrs in the future at 1hr increments.
  660. WISCLAND 1993
    ID: wiscland
    In 1993 a team of researchers from University of Wisconsin-Madison (ERSC) and the Wisconsin DNR developed WISCLAND, the first satellite-derived land cover map of Wisconsin. The UW-Madison (SCO) and the DNR partnered on a project to produce an updated land cover map of Wisconsin. The resulting dataset, known as Wiscland 2.0, was completed in August 2016.
  661. Wisconsin Counties
    ID: wi-counties-basic
  662. Wisconsin in 3D
    ID: wisc-3d
    The Space Shuttle Endeavour collected data to produce a digital elevation model of the Earth during the Shuttle Radar Topography Mission (SRTM), flown from February 11-22, 2000. Researchers clipped Wisconsin from this data to produce this 3D anaglyph. To see the 3D effect, use Red-Blue 3D glasses (red over left eye).
  663. Wisconsin Landsat
    ID: 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.
  664. Wisconsin LIDAR Hillshade
    ID: 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 visualized here with coordination and funding from the WI State Dept. of Administration, Geographic Information Office and NOAA"s coastal management program.