RealEarth™ Product Inventory



App Collection:

Alphabetic list of products:
  1. 24hr Precipitation Forecast
    ID: FXUS
    WPC 24hr Quantitative Precipitation Forecast (QPF)
  2. 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.
  3. 24hr Snow Fall
    ID: SNODAS-Accumulate
    SNODAS (Snow Data Assimilation System) 24hr Snow Accumulation Imagery from the NASA MODIS instrument, courtesy NASA NSIDC DAAC.
  4. 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.
  5. 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.
  6. 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.
  7. antarctica
    ID: antarctica
    antarctica
  8. Aqua Aerosol Optical Depth
    ID: AQUA-AER
    MODIS: AQUA Aerosol Optical Depth (ta)
  9. Aqua False Color
    ID: aquafalsecolor
    CIMSS-MODIS Satellite False Color (Aqua)
  10. Aqua Land Surface True Color
    ID: GLOBALaquatc
    MODIS: Aqua Land Surface True Color
  11. Aqua MODIS False Color Composites (Day)
    ID: aquafc-day
    Aqua MODIS False Color Composites (Day)
  12. Aqua MODIS False Color Swaths
    ID: aquafc-pass
    Aqua MODIS False Color Swaths
  13. Aqua MODIS Infrared Composites (Day)
    ID: aquair-day
    Aqua MODIS Infrared Composites (Day)
  14. Aqua MODIS Infrared Composites (Night)
    ID: aquair-night
    Aqua MODIS Infrared Composites (Night)
  15. Aqua MODIS Infrared Swaths
    ID: aquair-pass
    Aqua MODIS Infrared Swaths
  16. Aqua MODIS Near Infrared Composites (Day)
    ID: aquanir-day
    Aqua MODIS Near Infrared Composites (Day)
  17. Aqua MODIS Near Infrared Swaths
    ID: aquanir-pass
    Aqua MODIS Near Infrared Swaths
  18. Aqua MODIS Short Wave Infrared Composites (Day)
    ID: aquaswir-day
    Aqua MODIS Short Wave Infrared Composites (Day)
  19. Aqua MODIS Short Wave Infrared Composites (Night)
    ID: aquaswir-night
    Aqua MODIS Short Wave Infrared Composites (Night)
  20. Aqua MODIS Short Wave Infrared Swaths
    ID: aquaswir-pass
    Aqua MODIS Short Wave Infrared Swaths
  21. Aqua MODIS True Color Composites (Day)
    ID: aquatc-day
    Aqua MODIS True Color Composites (Day)
  22. Aqua MODIS True Color Swaths
    ID: aquatc-pass
    Aqua MODIS True Color Swaths
  23. Aqua MODIS Visible Composites (Day)
    ID: aquavis-day
    Aqua MODIS Visible Composites (Day)
  24. Aqua MODIS Visible Swaths
    ID: aquavis-pass
    Aqua MODIS Visible Swaths
  25. Aqua MODIS Water Vapor Composites (Day)
    ID: aquawv-day
    Aqua MODIS Water Vapor Composites (Day)
  26. Aqua MODIS Water Vapor Composites (Night)
    ID: aquawv-night
    Aqua MODIS Water Vapor Composites (Night)
  27. Aqua MODIS Water Vapor Swaths
    ID: aquawv-pass
    Aqua MODIS Water Vapor Swaths
  28. Aqua Orbit times
    ID: POESNAV-AQUApoint
    POES Orbit Locations - Aqua
  29. Aqua Orbit tracks
    ID: POESNAV-AQUAtrack
    POES Orbit Tracks - Aqua
  30. ASOS-dewt
    ID: ASOS-dewt
    ASOS-dewt
  31. Blended TPW GPS
    ID: NESDIS-BTPWgps
    NESDIS-BTPWgps
  32. Blended TPW Percent
    ID: NESDIS-BTPWpct
    NESDIS-BTPWpct
  33. Cladophora Classification
    ID: clad
    Estimate of 2005 algae extent along coastal Lake Michigan.
  34. CLAVR-x Cloud Depth
    ID: CloudDepth-CLAVRX
    CloudDepth-CLAVRX
  35. CLAVR-x Cloud Effective Radius
    ID: CloudReff-CLAVRX
    CloudReff-CLAVRX
  36. CLAVR-x Cloud Top Height
    ID: CloudHght-CLAVRX
    CloudHght-CLAVRX
  37. CLAVR-x Cloud Top Pressure
    ID: CloudPres-CLAVRX
    CloudPres-CLAVRX
  38. CLAVR-x Cloud Top Temperature
    ID: CloudTemp-CLAVRX
    CloudTemp-CLAVRX
  39. Cloud Phase
    ID: FLStestcphase
    1km Cloud Phase
  40. Cloud Thickness
    ID: FLStestcthick
    1km Cloud Thickness (ft)
  41. Cloud Top Cooling
    ID: CIMSS-CTCimage
    CIMSS-Cloud Top Cooling image
  42. Cloud Top Cooling targets
    ID: CIMSS-CTCtargets
    CIMSS-Cloud Top Cooling targets
  43. Convective Outlook - Categorical
    ID: SPC-ConvOutlook-CATG
    SPC Convective Outlook - Categorical
  44. Convective Outlook - Categorical (color map)
    ID: SPC-ConvOutlook-CATG-cmap
    View of SPC-ConvOutlook-CATG
  45. Convective Outlook Day1
    ID: SPCcoday1
    Convective Outlook Day1 (Category) id=SPCcoday1
  46. Convective Outlook Day2
    ID: SPCcoday2
    Convective Outlook Day2 (Category)
  47. Convective Outlook Day3
    ID: SPCcoday3
    Convective Outlook Day3 (Categorical)
  48. CSPP Active Fires
    ID: csppafedr
    CSPP Active Fires
  49. CSPP download sites
    ID: CSPPsites
    CSPP download sites
  50. 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.
  51. 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.
  52. 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.
  53. 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.
  54. Current Large Fires
    ID: Current-Fires
    Current Large Fires
  55. DaveP contour at 20
    ID: dpcontour20
    dpcontour20
  56. DaveP contour test
    ID: dpcontour
    dpcontour
  57. DNB-ClearView
    ID: DNB-ClearView
    DNB-ClearView
  58. Earthquake Magnitude
    ID: Earthquake-mag
    Earthquake Magnitude (Past 24hr)
  59. Eclipse Path
    ID: Eclipse
    Eclipse Path
  60. Effective Bulk Shear
    ID: EBSPS
    ProbSevere effective bulk shear merged and smoothed
  61. 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
  62. 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
  63. 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
  64. Fire Danger Index Africa
    ID: ZAFDI
    MODIS Fire Danger Index South Africa by CIMSS-DBCRAS
  65. Fire Danger Index ConUS
    ID: CONUSFDI
    MODIS Fire Danger Index (FDI) ConUS by CIMSS-DBCRAS
  66. Fire Hazards
    ID: REDFLAG
    Red Flag Warnings and Fire Weather Watches
  67. Fire Weather Outlook - Categorical
    ID: SPC-FireOutlook-CATG
    SPC Fire Weather Outlook - Categorical
  68. Fire Weather Outlook - Categorical (color map)
    ID: SPC-FireOutlook-CATG-cmap
    SPC Fire Weather Outlook - Categorical (color map)
  69. Fire Weather Outlook Day1
    ID: SPCfwday1
    Fire Weather Outlook Day1 (Category)
  70. Fire Weather Outlook Day2
    ID: SPCfwday2
    Fire Weather Outlook Day2 (Category)
  71. Flash Flood Hazards
    ID: WFLASH
    Flash Flood Hazards
  72. Flood Hazards
    ID: WWFLOOD
    Flood Watches and Warnings
  73. Flood Outlook Product
    ID: FOP
    WPC FLood Outlook Product
  74. Flood Warnings
    ID: FLOODWARN
    Flood Warning Polygons
  75. Fog Hazards
    ID: WFOG
    Fog Hazards
  76. 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.
  77. Fronts and Troughs
    ID: Fronts
    NCEP Frontal Analysis: fronts and troughs
  78. G16 ABI Derived Fire image
    ID: IRFIRE2
    G16 ABI Derived Fire image
  79. GFS-CONUS-PCP-SFC
    ID: GFS-CONUS-PCP-SFC
    GFS-CONUS-PCP-SFC
  80. GLERL Surface Environmental Analysis
    ID: GLERL-GLSEAimage
    GLERL Surface Environmental Analysis
  81. GLM FlashAvgArea
    ID: FlashAvgArea
    GOES-16 GLM average flash area 3-min average over flash extent density footprint
  82. GLM FlashCentroidDensity
    ID: FlashCentroidDensity
  83. GLM FlashExtentDensity
    ID: FlashExtentDensity
    GOES-16 flash extent density 3-min accumulation of footprint of all observed flashes
  84. GLM TotalEnergy
    ID: TotalEnergy
    GOES-16 total optical energy 3-min accumulation over flash extent density footprint.
  85. Global Black Marble
    ID: VIIRS-MASK-54000x27000
    VIIRS Night Global Black Marble by NASA
  86. Global DayNight Mask
    ID: DayNight
    Global DayNight Mask
  87. 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.
  88. 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.
  89. 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.
  90. 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.
  91. 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.
  92. 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.
  93. 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.
  94. Global Night Lights
    ID: NightLightsColored
    Global Night Lights (enhanced)
  95. 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.
  96. 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.
  97. 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.
  98. Global Visible - full
    ID: global1kmvisfull
  99. 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.
  100. 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.
  101. GMS-8-TCRGB-map
    ID: GMS-8-TCRGB-map
    GMS-8-TCRGB-map
  102. GMS-8-TCRGB-nomap
    ID: GMS-8-TCRGB-nomap
    GMS-8-TCRGB-nomap
  103. GOES-East GLM storm objects
    ID: GLMOBJ
  104. goes8b1
    ID: goes8b1
  105. GOES CAPE
    ID: cimssdpicapeli
    CIMSS-DPI Convective Available Potential Energy (Li et al. 2008)
  106. GOES Cloud Phase
    ID: FLSgeocphase
    FLS: GOES Cloud Phase
  107. GOES Cloud Thickness
    ID: FLSgeocthick
    FLS: GOES Cloud Thickness
  108. 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
  109. 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.
  110. 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.
  111. 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 by water vapor in the electromagnetic spectrum. It will detect very thin cirrus clouds during the day.
  112. 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.
  113. 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.
  114. 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.
  115. 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.
  116. 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.
  117. 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.
  118. 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, 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.
  119. 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 6.9 µm by water vapor.
  120. 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 6.9 µm by water vapor.
  121. 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.
  122. 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.
  123. 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 8.5 μm radiation compared to other wavelengths. The 8.5 μm band was not available on either the Legacy GOES Imager or GOES Sounder.
  124. 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.
  125. 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.
  126. 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.
  127. 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 10.7 μm.
  128. 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” (12.3 μm) for the monitoring of simple atmospheric phenomena.
  129. 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 13.3 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.
  130. GOES East ABI ConUS Fire Area product
    ID: G16-L2-CONUS-FDC-AREA
    GOES East ABI ConUS Fire Area product
  131. GOES East ABI ConUS Fire Radiative Power product
    ID: G16-L2-CONUS-FDC-FRP
    GOES East ABI ConUS Fire Radiative Power product
  132. GOES East ABI ConUS Fire Temperature product
    ID: G16-L2-CONUS-FDC-TEMP
    GOES East ABI ConUS Fire Temperature product
  133. GOES East ABI ConUS True Color product
    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.
  134. GOES East ABI Full Disk "Sandwich" (corrected)
    ID: G16-ABI-FD-Sandwich-corrected
    G16-ABI-FD-Sandwich-corrected
  135. GOES East ABI Full Disk "Sandwich" (merge)
    ID: G16-ABI-FD-Sandwich-merge
    G16-ABI-FD-Sandwich-merge
  136. GOES East ABI Full Disk "Sandwich" (not corrected)
    ID: G16-ABI-FD-Sandwich-notcorrected
    G16-ABI-FD-Sandwich-notcorrected
  137. 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 0.47 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.
  138. 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.
  139. 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.
  140. 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.
  141. 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.
  142. 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.
  143. 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 3.9 μm is unique among ABI bands because it senses both emitted terrestrial radiation as well as significant reflected solar radiation during the day.
  144. 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 3.9 μm is unique among ABI bands because it senses both emitted terrestrial radiation as well as significant reflected solar radiation during the day.
  145. 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.
  146. 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.
  147. 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 6.9 µm by water vapor.
  148. 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 6.9 µm by water vapor.
  149. 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.
  150. 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.
  151. 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 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.
  152. 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.
  153. 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.
  154. 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.
  155. 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.
  156. 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 12.3 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.
  157. 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 13.3 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.
  158. GOES East ABI Full Disk True Color product
    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’ (0.86 µm) bands. The use of the Veggie band is important because it mimics the enhanced reflectivity present in the Green Band.
  159. 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.
  160. 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.
  161. 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.
  162. 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.
  163. 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.
  164. 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.
  165. 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.
  166. 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.
  167. 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.
  168. 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.
  169. 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 6.9 µm by water vapor.
  170. 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.
  171. 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 that are rich in sulphur dioxide (SO2) and track LakeEffect snow bands.
  172. 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.
  173. 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 8.5 μm radiation compared to other wavelengths. The 8.5 μm band was not available on either the Legacy GOES Imager or GOES Sounder.
  174. 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.
  175. 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.
  176. 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.
  177. GOES East ABI Meso1 B13 (Red)
    ID: G16-ABI-MESO1-BAND13-RED
    View of G16-ABI-MESO1-BAND13
  178. 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 10.7 μm.
  179. 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” (12.3 μm) for the monitoring of simple atmospheric phenomena.
  180. 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 13.3 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.
  181. GOES East ABI Meso1 True Color product
    ID: G16-ABI-MESO1-TC
    GOES East ABI Meso1 True Color product
  182. 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.
  183. 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.
  184. 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.
  185. 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.
  186. 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.
  187. 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.
  188. 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.
  189. 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.
  190. 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.
  191. 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.
  192. 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 6.9 µm by water vapor.
  193. 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 6.9 µm by water vapor.
  194. 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.
  195. 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.
  196. 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 8.5 μm radiation compared to other wavelengths. The 8.5 μm band was not available on either the Legacy GOES Imager or GOES Sounder.
  197. 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.
  198. GOES East ABI Meso2 B13 "Clean" Infrared
    ID: G16-ABI-MESO2-BAND13
    IThe 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 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.
  200. GOES East ABI Meso2 B13 (Cyan)
    ID: G16-ABI-MESO2-B13-CYAN
    View of G16-ABI-MESO2-BAND13
  201. 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 10.7 μm.
  202. 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” (12.3 μm) for the monitoring of simple atmospheric phenomena.
  203. 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 13.3 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.
  204. GOES East ABI Meso2 True Color product
    ID: G16-ABI-MESO2-TC
    GOES East ABI Meso2 True Color product
  205. GOES East Full Disk Convection (prelim non-op)
    ID: GOES-16-DayConvectiveStorm-cve
    GOES-16-DayConvectiveStorm-cve
  206. GOES East Full Disk Day Microphysics (prelim non-op)
    ID: GOES-16-DayMicrophysics-dms
    GOES-16-DayMicrophysics-dms
  207. GOES East Full Disk Natural Color (prelim non-op)
    ID: GOES-16-NaturalColor-dnc
    GOES-16-NaturalColor-dnc
  208. GOES East Full Disk Night Microphysics (prelim non-op)
    ID: GOES-16-NightMicrophysics-ngt
    GOES-16-NightMicrophysics-ngt
  209. GOES East Full Disk RGB Air Mass
    ID: GOES-16-24hrAirMass-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.
  210. GOES East Full Disk Snow/Fog (prelim non-op)
    ID: GOES-16-SnowFog-dsl
    GOES-16-SnowFog-dsl
  211. 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.
  212. GOES IFR (Low) Probability
    ID: FLSgeolifr
    FLS: GOES Low IFR
  213. GOES IFR Probability
    ID: FLSgeoifr
    FLS: GOES IFR
  214. 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.
  215. GOES Infrared 2byte
    ID: conusir2
    ConUS Infrared 4km - Temp
  216. GOES IR Aviation
    ID: conusiravn
    GOES IR Aviation
  217. GOES IR Dvorak
    ID: conusirbd
    GOES IR Dvorak
  218. GOES IR Funk Top
    ID: conusirfunk
    GOES IR Funk Top
  219. GOES IR Overshooting Tops
    ID: conusirott
    GOES IR Overshooting Tops
  220. GOES IR Rainbow
    ID: conusirnhc
    GOES IR Rainbow
  221. GOES Lifted Index
    ID: cimssdpilili
    GOES-DPI Lifted Index (Li et al. 2008)
  222. GOES Ozone
    ID: cimssdpiozli
    GOES-DPI Ozone (Li etal 2008)
  223. GOES Precipitable Water
    ID: cimssdpipwli
    CIMSS-DPI Precipitable Water (mm)
  224. 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.
  225. GOES West Full Disk IR
    ID: GOES-W-FD-IR
    GOES West Full Disk IR (Infrared)
  226. GOES West Full Disk LWIR
    ID: GOES-W-FD-LWIR
    GOES West Full Disk LWIR (Long Wave Infrared)
  227. GOES West Full Disk NIR
    ID: GOES-W-FD-NIR
    GOES West Full Disk NIR (Near Infrared)
  228. GOES West Full Disk VIS
    ID: GOES-W-FD-VIS
    GOES West Full Disk VIS (Visible)
  229. GOES West Full Disk WV
    ID: GOES-W-FD-WV
    GOES West Full Disk WV (Water Vapor)
  230. GOES WildFires
    ID: WFABBA
    GOES WildFire ABBA images
  231. GOES WildFire targets
    ID: WFABBAtargets
    GOES WildFire ABBA targets
  232. Great Lakes Bathymetry
    ID: GLBathymetry
    Great Lakes Bathymetry For more info see: http://www.ngdc.noaa.gov/mgg/greatlakes/greatlakes.html
  233. Great Lakes Surface Analysis
    ID: glsea
    Great Lakes Surface Environmental Analysis (GLSEA). For more info see: http://coastwatch.glerl.noaa.gov/glsea/doc
  234. Hail Outlook Day1
    ID: SPChaday1
    Hail Outlook Day1 (%)
  235. HIMAWARI-JP-B09
    ID: HIMAWARI-JP-B09
  236. Himawari8 - Day Convective Storm (cve)
    ID: H-DayConvectiveStorm-cve
    Himawari8 - Day Convective Storm (cve)
  237. Himawari8 - Day Microphysics (dms)
    ID: H-DayMicrophysics-dms
    Himawari8 - Day Microphysics (dms)
  238. Himawari8 - Dust (dst)
    ID: H-Dust-dst
    Himawari8 - Dust (dst)
  239. Himawari8 - Natural Color (dnc)
    ID: H-NaturalColor-dnc
    Himawari8 - Natural Color (dnc)
  240. Himawari8 - Night Microphysics (ngt)
    ID: H-NightMicrophysics-ngt
    Himawari8 - Night Microphysics (ngt)
  241. Himawari8 - Snow and Fog (dsl)
    ID: H-SnowFog-dsl
    Himawari8 - Snow and Fog (dsl)
  242. Himawari8 - True Color (tre)
    ID: H-TrueColor-tre
    Himawari8 - True Color (tre)
  243. Himawari8 - True Color (wgt)
    ID: H-TrueColor-wgt
    Himawari8 - True Color (wgt)
  244. Himawari8 Full Disk RGB Air Mass
    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.
  245. Himawari8 IR 8.6um Phase
    ID: HIMAWARI-B11
    Himawari8 IR Band11 8.6um Cloud-top Phase
  246. Himawari8 IR 9.6um Ozone
    ID: HIMAWARI-B12
    Himawari8 IR Band12 9.6um Ozone (total)
  247. Himawari8 IR 10.4um Clean Window
    ID: HIMAWARI-B13
    Himawari8 IR Band13 10.4um Clean IR Longwave Window
  248. Himawari8 IR 11.2um Full Disk
    ID: HIMAWARI-B14
    Himawari8 IR Band14 11.2um Traditional IR Longwave Window
  249. Himawari8 IR 11.2um Japan
    ID: HIMAWARI-JP-B14
    Himawari8 IR 11.2um Japan
  250. Himawari8 IR 11.2um Target
    ID: HIMAWARI-T1-B14
    Himawrai8 IR 11.2um Target
  251. Himawari8 IR 12.4um Dirty Window
    ID: HIMAWARI-B15
    Himawari8 IR Band15 12.4um Dirty Longwave Window
  252. Himawari8 IR 13.3um CO2
    ID: HIMAWARI-B16
    Himawari8 IR Band16 13.3um CO2
  253. Himawari8 NIR 0.86um Vegetation
    ID: HIMAWARI-B04
    Himawari8 Near IR Band04 0.86um Vegetation
  254. Himawari8 NIR 1.6um Snow
    ID: HIMAWARI-B05
    Himawari8 NIR 1.6um Snow/Ice
  255. Himawari8 NIR 2.3um Phase
    ID: HIMAWARI-B06
    Himawari8 NIR Band06 2.3um Cloud-top Phase
  256. Himawari8 RGB Composite
    ID: himawari08-rgb
    Himawari8 RGB Composite
  257. Himawari8 SWIR 3.9um Full Disk
    ID: HIMAWARI-B07
    Himawari8 SWIR Band7 3.9um Full Disk
  258. Himawari8 SWIR 3.9um Japan
    ID: HIMAWARI-JP-B07
    Himawari8 SWIR 3.9um Japan
  259. Himawari8 SWIR 3.9um Target
    ID: HIMAWARI-T1-B07
    Himawari8 SWIR 3.9um Target
  260. Himawari8 Vis 0.47um Blue
    ID: HIMAWARI-B01
    Himawari Visible Band01 0.47um Blue
  261. Himawari8 Vis 0.51um Green
    ID: HIMAWARI-B02
    Himawari8 Visible Band2 0.51um Green
  262. Himawari8 Vis 0.64um Full Disk
    ID: HIMAWARI-B03
    Himawari8 Visible Band3 0.64um Full Disk
  263. Himawari8 Vis 0.64um Japan
    ID: HIMAWARI-JP-B03
    Himawari8 Vis 0.64um Japan
  264. Himawari8 Vis 0.64um Target
    ID: HIMAWARI-T1-B03
    Himawrai8 Vis 0.64um Target
  265. Himawari8 WV 6.2um Upper-level
    ID: HIMAWARI-B08
    Himawari8 WV Band8 6.2um Upper Level Tropospheric Water Vapor
  266. Himawari8 WV 6.9um Mid-level
    ID: HIMAWARI-B09
    Himawari8 WaterVapor Band9 6.9um Upper/Mid-level Tropospeheric Water Vapor
  267. Himawari8 WV 6.9um Mid-level
    ID: HIMAWARI-T1-B09
    Himawari8 WV 6.9um Mid-level
  268. Himawari8 WV 7.3um Lower-level
    ID: HIMAWARI-B10
    Himawari8 WV Band10 7.3um Lower-level Tropospheric Water Vapor
  269. Hokulea course position
    ID: Hokulea-POSN
    Hokulea course position
  270. Hokulea course track
    ID: Hokulea-TRAK
    Hokulea course track
  271. Hokulea infrared satellite image
    ID: Hokulea-IR
    Hokulea infrared satellite image
  272. Hokulea visible satellite image
    ID: Hokulea-VIS
    Hokulea visible satellite image
  273. Hokulea water vapor satellite image
    ID: Hokulea-WV
    Hokulea water vapor satellite image
  274. HRR-CONUS-PCP-SFC
    ID: HRR-CONUS-PCP-SFC
    HRR-CONUS-PCP-SFC
  275. HRRR ConUS Latest Simulated Radar
    ID: HRR-CONUS-RADAR-LATEST
    View of HRR-CONUS-PCP-SFC
  276. HRRR ConUS PRAT Latest
    ID: HRR-CONUS-PCP-LATEST
    View of HRR-CONUS-PCP-SFC
  277. 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.
  278. 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.
  279. 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.
  280. Hurricane Sandy 24-hr Precipitation
    ID: sandy-precip
  281. Hurricane Sandy IR
    ID: sandy-ir
  282. Hurricane Sandy METAR
    ID: sandy-metar
  283. Hurricane Sandy NAM Pressure
    ID: sandy-nam-b1
    View of sandy-nam
  284. Hurricane Sandy NAM Wind Gust
    ID: sandy-nam-b3
    View of sandy-nam
  285. Hurricane Sandy Social Media
    ID: sandy-social
  286. Hurricane Sandy Storm Report
    ID: sandy-report
  287. Hurricane Sandy Storm Track
    ID: sandy-track
  288. Hurricane Sandy Warnings
    ID: sandy-wwa
    NWS Watches, Warnings, and Advisories
  289. 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.
  290. Icing Advisory
    ID: AIRMET-ICE
    AIRMET Icing Advisory
  291. Icing Base Altitude
    ID: ICING-BASE
    ICING: ConUS Base Altitude (kft)
  292. Icing Threat Potential
    ID: ICING-THREAT
    ICING: ConUS Threat Potential (Cat)
  293. Icing Top Altitude
    ID: ICING-TOP
    ICING: ConUS Top Altitude (kft)
  294. IFR Advisory
    ID: AIRMET-IFR
    AIRMET-IFR Advisory
  295. IMAPP download sites
    ID: IMAPPsites
    IMAPP download sites
  296. Infrared 6 inch Imagery of Madison
    ID: madisonir
    Infrared 6 inch Imagery of Madison
  297. IR Winds 250-100mb
    ID: AMV-ULhigh
    AMV: Upper Level IR/WV (100-250mb)
  298. IR Winds 350-251mb
    ID: AMV-ULmid
    AMV: Upper Level IR/WV (251-350mb)
  299. IR Winds 500-351mb
    ID: AMV-ULlow
    AMV: Upper Level IR/WV (351-500mb)
  300. IR Winds 599-400mb
    ID: AMV-LLhigh
    AMV: 400-599mb Low Level IR winds
  301. IR Winds 799-600mb
    ID: AMV-LLmid
    AMV: Lower Level IR (600-799mb)
  302. IR Winds 950-800mb
    ID: AMV-LLlow
    AMV: Lower Level IR (800-950mb)
  303. JPSS VIIRS Aerosol Optical Depth
    ID: davidhaod
    JPSS VIIRS Aerosol Optical Depth
  304. JPSS VIIRS Cloud Optical Thickness
    ID: davidhcot
    JPSS VIIRS Cloud Optical Thickness
  305. 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
  306. Landsat7 Orbit times
    ID: POESNAV-LSAT7point
    Lansat 7 - Orbit Times
  307. Landsat7 Orbit tracks
    ID: POESNAV-LSAT7track
    Landsat 7 - Orbit Track
  308. Landsat8 Orbit times
    ID: POESNAV-LSAT8point
    Landsat 8 - Orbit Times
  309. Landsat8 Orbit tracks
    ID: POESNAV-LSAT8track
    Landsat 8 - Orbit Track 7 day predict
  310. 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.
  311. 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.
  312. 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.
  313. LaRC Cloud Phase GOESE 4km
    ID: LARC-GOESE-4km-CloudPhase
    LaRC Cloud Phase GOESE 4km
  314. LaRC Cloud Phase GOESE 8km
    ID: LARC-CloudPhase-GOESE-8km
    LaRC Cloud Phase GOESE 8km
  315. LaRC Cloud Phase GOESW 8km
    ID: LARC-CloudPhase-GOESW-8km
    LaRC Cloud Phase GOESW 8km
  316. LaRC Cloud Phase HM 8km
    ID: LARC-CloudPhase-HM-8km
    LaRC Cloud Phase HM 8km
  317. LaRC Cloud Phase MET8 9km
    ID: LARC-CloudPhase-MET8-9km
    LaRC Cloud Phase MET8 9km
  318. LaRC Cloud Phase MSG 9km
    ID: LARC-CloudPhase-MSG-9km
    LaRC Cloud Phase MSG 9km
  319. LaRC Cloud Top Height GOESE 8km
    ID: LARC-CloudZtop-GOESE-8km
    LaRC Cloud Top Height GOESE 8km
  320. LaRC Cloud Top Height GOESW 8km
    ID: LARC-CloudZtop-GOESW-8km
    LaRC Cloud Top Height GOESW 8km
  321. LaRC Cloud Top Height HM 8km
    ID: LARC-CloudZtop-HM-8km
    LaRC Cloud Top Height HM 8km
  322. LaRC Cloud Top Height MET8 9km
    ID: LARC-CloudZtop-MET8-9km
    LaRC Cloud Top Height MET8 9km
  323. LaRC Cloud Top Height MSG 9km
    ID: LARC-CloudZtop-MSG-9km
    LaRC Cloud Top Height MSG 9km
  324. LEO Cloud Phase
    ID: FLSleocphase
    FLS: POES Cloud Phase
  325. LEO Cloud Thickness
    ID: FLSleocthick
    FLS: POES Cloud Thickness
  326. LEO IFR Probability
    ID: FLSleoifr
    FLS: POES IFR
  327. LEO Low IFR Probility
    ID: FLSleolifr
    FLS: POES Low IFR Probability
  328. Lightning Group Density preliminary non-operational
    ID: XLGD
    Lightning Group Density preliminary non-Operational
  329. Low/High Pressure
    ID: HighLow
    NCEP Frontal Analysis: Highs and Lows
  330. Low Level Divergence
    ID: div1kmrap
    NSSL: Low Level Divergence RAP only
  331. Low Level Divergence RadSat
    ID: div1kmsatradar
    NSSL: Low Level Divergence RAP, Radar, GOES
  332. Low Level Shear
    ID: nssl-azshear0-2km
    NSSL: Radar Low Level Shear
  333. madison3000
    ID: madison3000
    madison3000
  334. 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/.
  335. Max Expected Size of Hail Track
    ID: nssl-MESHmax120m
    NSSL: Radar Max Expeced Size of Hail Track (120m)
  336. MESHaccum
    ID: MESHaccum
  337. Mesoscale Discussions
    ID: MCD
    SPC: Mesoscale Discussions
  338. METAR
    ID: SSEC-METAR
    Global METAR
  339. Mexico IR
    ID: MEXICOIR
    Mexico Infrared 4km - Gray Scale (Tb)
  340. Mexico Visible
    ID: MEXICOVis
    Mexico Visible 1km (60 min, GEO)
  341. Mid Level Rotation Track
    ID: nssl-rottrackML120m
    NSSL - Radar Mid Level Rotation Track (120m)
  342. Mid Level Shear
    ID: nssl-azshear3-6km
    RADAR: Mid Level Shear
  343. 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.
  344. 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.
  345. 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.
  346. 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.
  347. 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.
  348. MIRS 90Ghz Brightness Temperature
    ID: MIRS-BT90
    MIRS 90Ghz Brightness Temperature
  349. MIRS Rain Rate
    ID: MIRS-RainRate
    MIRS Rain Rate
  350. Mountains Obscured Advisory
    ID: AIRMET-MTN
    AIRMET-Mountain Obscured Advisory
  351. MRMS MergedReflectivity
    ID: MERGEDREF
    Multi-Radar/Multi-Sensor MergedReflectivityQCComposite
  352. 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.
  353. 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.
  354. MSS-SmokeHazeRGB
    ID: MSS-SmokeHazeRGB
    Meteorological Service Singapore (MSS) RGBproduct: Smoke and Haze
  355. MUCAPE
    ID: MUCAPEPS
    ProbSevere merged smoothed MUCAPE [J/kg]
  356. NAIP WI
    ID: NAIPWI
    National Agricultural Imagery Program aerial photography from the Wisconsin Farm Service Agency (WI-FSA) of the USDA.
  357. 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)
  358. NAM-CONUS-PRAT-SFC
    ID: NAM-CONUS-PRAT-SFC
    NAM-CONUS-PRAT-SFC
  359. NAM ConUS Latest Simulated Radar
    ID: NAM-CONUS-RADAR-LATEST
    View of NAM-CONUS-PRAT-SFC
  360. NEXRAD Alaska Base Reflectivity
    ID: NEXRAD-Alaska
    NEXRAD-Alaska
  361. NEXRAD antenna coverage
    ID: NEXRADrange
    NEXRAD: 124NMI coverage
  362. NEXRAD antenna locations
    ID: NEXRADsite
    NEXRAD sites and status
  363. NEXRAD CanAm Base Reflectivity
    ID: nexrcomp
    NEXRAD CanAm Base Reflectivity
  364. NEXRAD CanAm Base Reflectivity mask
    ID: nexrrain
    NEXRAD CanAm base Reflectivity mask
  365. NEXRAD CanAm Precipitation Phase
    ID: nexrphase
    NEXRAD CanAm Precipitation Phase
  366. NEXRAD ConUS 1hr Precipitation Total
    ID: nexr1hpcp
    NEXRAD ConUS 1hr Precipitation Total
  367. NEXRAD ConUS Digital Integrated Liquid
    ID: nexrdvl
    NEXRAD ConUS Digital Integrated Liquid
  368. NEXRAD ConUS Enhanced Echo Tops
    ID: nexreet
    NEXRAD ConUS Enhanced Echo Tops
  369. NEXRAD ConUS Hybrid Hydrometeor Class
    ID: nexrhhc
    NEXRAD ConUS Hybrid Hydrometeor Class
  370. NEXRAD ConUS Hybrid Reflectivity
    ID: nexrdhr
    NEXRAD ConUS Hybrid Reflectivity
  371. NEXRAD ConUS Hybrid Reflectivity mask
    ID: nexrhres
    NEXRADConUS Hybrid Reflectivity mask
  372. NEXRAD ConUS Storm Total Precipitation
    ID: nexrstorm
    NEXRAD ConUS Storm Total Precipitation
  373. NEXRAD Guam Base Reflectivity
    ID: NEXRAD-Guam
    NEXRAD Guam Base Reflectivity
  374. NEXRAD Hawaii Base Reflectivity
    ID: NEXRAD-Hawaii
    NEXRAD Hawaii Base Reflectivity
  375. NEXRAD Puerto Rico Base Reflectivity
    ID: NEXRAD-PuertoRico
    NEXRAD Puerto Rico Base Reflectivity
  376. Night Fog IR/SWIR
    ID: conusfog
    Continental US Night Fog 4km - IR/SWIR Tdiff
  377. NOAA15 Orbit times
    ID: POESNAV-N15point
    POES Orbit Locations - NOAA15
  378. NOAA15 Orbit tracks
    ID: POESNAV-N15track
    POES Orbit Tracks - NOAA15
  379. NOAA18 Orbit times
    ID: POESNAV-N18point
    POES Orbit Locations - NOAA18
  380. NOAA18 Orbit tracks
    ID: POESNAV-N18track
    POES Orbit Tracks - NOA18
  381. North Pole IR Composite
    ID: NPCOMP
    North Pole IR Polar and Geostationary Composite
  382. NPP Aerosol Optical Depth
    ID: nppaod
    NPP Aerosol Optical Depth
  383. NPP Day/Night AM Composite - Adaptive
    ID: nppadpam
    NPP Day/Night AM Composite - Adaptive
  384. NPP Day/Night AM Composite - Histogram
    ID: npphstam
    NPP Day/Night AM Composite - Histogram
  385. NPP Day/Night Band (DNB) - Honolulu DB
    ID: nppdnbdyn-hnl
    NPP Day/Night Band (DNB) - Honolulu DB
  386. NPP Day/Night Band (DNB) - Madison DB
    ID: nppdnbdyn-msn
    NPP Day/Night Band (DNB) - Madison DB
  387. NPP Day/Night Band (DNB) - Miami DB
    ID: nppdnbdyn-mia
    NPP Day/Night Band (DNB) - Miami DB
  388. NPP Day/Night Band (DNB) - Puerto Rico DB
    ID: nppdnbdyn-upr
    NPP Day/Night Band (DNB) - Puerto Rico DB
  389. NPP Day/Night Band - Dynamic
    ID: nppdnb
    NPP Day/Night Band - Dynamic
  390. NPP False Color
    ID: nppfc
    NPP False Color
  391. NPP False Color (FC) - Madison DB
    ID: nppfc-msn
    NPP False Color (FC) - Madison DB
  392. NPP Orbit times
    ID: POESNAV-NPPpoint
    POES Orbit Locations - NPP
  393. NPP Orbit tracks
    ID: POESNAV-NPPtrack
    POES Orbit Tracks - NPP
  394. NPP Sea Surface Temperature
    ID: nppsst
    NPP Sea Surface Temperature
  395. NPP Sea Surface Temperature (SST) - Madison DB
    ID: nppsst-msn
    NPP Sea Surface Temperature (SST) - Madison DB
  396. NPP True Color (TC) - Global
    ID: GLOBALnpptc
    NPP True Color (TC) - Global
  397. NPP True Color (TC) - Honolulu DB
    ID: npptc-hnl
    NPP True Color (TC) - Honolulu DB
  398. NPP True Color (TC) - Madison DB
    ID: npptc-msn
    NPP True Color (TC) - Madison DB
  399. NPP True Color (TC) - Miami DB
    ID: npptc-mia
    NPP True Color (TC) - Miami DB
  400. NPP True Color (TC) - Puerto Rico DB
    ID: npptc-upr
    NPP True Color (TC) - Puerto Rico DB
  401. NPP VIIRS Day/Night Band Adaptive Equalized Composites (Day)
    ID: nppdnbada-day
    NPP VIIRS Day/Night Band Adaptive Equalized Histogram Composites (Day)
  402. NPP VIIRS Day/Night Band Adaptive Equalized Composites (Night)
    ID: nppdnbada-night
    NPP VIIRS Day/Night Band Adaptive Equalized Composites (Night)
  403. NPP VIIRS Day/Night Band Adaptive Equalized Swaths
    ID: nppdnbada-pass
    NPP VIIRS Day/Night Band Adaptive Equalized Swaths
  404. NPP VIIRS Day/Night Band ERF Equalized Composites (Day)
    ID: nppdnbdyn-day
    NPP VIIRS Day/Night Band ERF Equalized Composites (Day)
  405. NPP VIIRS Day/Night Band ERF Equalized Composites (Night)
    ID: nppdnbdyn-night
    NPP VIIRS Day/Night Band ERF Equalized Composites (Night)
  406. NPP VIIRS Day/Night Band ERF Equalized Swaths
    ID: nppdnbdyn-pass
    NPP VIIRS Day/Night Band ERF Equalized Swaths
  407. NPP VIIRS False Color Composites (Day)
    ID: nppfc-day
    NPP VIIRS False Color Composites (Day)
  408. NPP VIIRS False Color Swaths
    ID: nppfc-pass
    NPP VIIRS False Color Swaths
  409. NPP VIIRS Long Wave Infrared Composites (Day)
    ID: npplwir-day
    NPP VIIRS Long Wave Infrared Composites (Day)
  410. NPP VIIRS Long Wave Infrared Composites (Night)
    ID: npplwir-night
    NPP VIIRS Long Wave Infrared Composites (Night)
  411. NPP VIIRS Long Wave Infrared Swaths
    ID: npplwir-pass
    NPP VIIRS Long Wave Infrared Swaths
  412. NPP VIIRS Near Infrared Composites (Day)
    ID: nppnir-day
    NPP VIIRS Near Infrared Composites (Day)
  413. NPP VIIRS Near Infrared Swaths
    ID: nppnir-pass
    NPP VIIRS Near Infrared Swaths
  414. NPP VIIRS Short Wave Infrared Composites (Day)
    ID: nppswir-day
    NPP VIIRS Short Wave Infrared Composites (Day)
  415. NPP VIIRS Short Wave Infrared Composites (Night)
    ID: nppswir-night
    NPP VIIRS Short Wave Infrared Composites (Night)
  416. NPP VIIRS Short Wave Infrared Swaths
    ID: nppswir-pass
    NPP VIIRS Short Wave Infrared Swaths
  417. NPP VIIRS True Color Composites (Day)
    ID: npptc-day
    NPP VIIRS True Color Composites (Day)
  418. NPP VIIRS True Color Swaths
    ID: npptc-pass
    NPP VIIRS True Color Swaths
  419. NPP VIIRS Visible-1 Composites (Day)
    ID: nppvis1-day
    NPP VIIRS Visible-1 Composites (Day)
  420. NPP VIIRS Visible-1 Swaths
    ID: nppvis1-pass
    NPP VIIRS Visible-1 Swaths
  421. NPP VIIRS Visible-2 Composites (Day)
    ID: nppvis2-day
    NPP VIIRS Visible-2 Composites (Day)
  422. NPP VIIRS Visible-2 Swaths
    ID: nppvis2-pass
    NPP VIIRS Visible-2 Swaths
  423. nssl-rottrack120m
    ID: nssl-rottrack120m
    nssl-rottrack120m
  424. 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.
  425. NUCAPS-MADIS Mean Layer CAPE
    ID: NUCAPS-MADIS-MLCAPE
    NUCAPS-MADIS-MLCAPE
  426. NUCAPS-MADIS Mean Layer CIN
    ID: NUCAPS-MADIS-MLCIN
    NUCAPS-MADIS-MLCIN
  427. NUCAPS-MADIS Mean Layer LI
    ID: NUCAPS-MADIS-MLLI
    NUCAPS-MADIS-MLLI
  428. 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.
  429. NUCAPS-MADIS Surface CIN
    ID: NUCAPS-MADIS-SBCIN
    NUCAPS-MADIS-SBCIN
  430. NUCAPS-MADIS Surface LI
    ID: NUCAPS-MADIS-SBLI
    NUCAPS-MADIS-SBLI
  431. NWS-AK-TPCP-1DAY
    ID: NWS-AK-TPCP-1DAY
    NWS-AK-TPCP-1DAY
  432. NWS-CONUS-TPCP-1DAY
    ID: NWS-CONUS-TPCP-1DAY
    NWS-CONUS-TPCP-1DAY
  433. NWS County Warning Areas
    ID: NWSCWA
    NWS County Warning Areas
  434. NWSWARNS12Z12Z
    ID: NWSWARNS12Z12Z
    NWSWARNS12Z12Z (Severe and Tornado. No SVSs)
  435. Overshooting Tops targets
    ID: CIMSS-OTtargets
    Cloud OverShooting Tops targets
  436. Pilot Reports
    ID: PIREP
    Pilot Reports: Symbols
  437. POES antenna coverage
    ID: POESANT
    POES antenna coverage
  438. Points of Interest
    ID: POI
    Points of Interest
  439. Precip Rate 5m
    ID: nssl-radprecrate
    NSSL - Radar Precipitation Rate (5m)
  440. Pressure contours ConUS
    ID: SFCCON-PMSL
    Surface Contours: Sea Level Pressure (ConUS)
  441. 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.
  442. Probability of Severe Hail
    ID: nssl-POSH
    NSSL: Radar Probability Of Severe Hail
  443. PROBSEVACCUM
    ID: PROBSEVACCUM
    ≥ 50%
  444. ProbSevere
    ID: ProbSevere
    ProbSevere
  445. ProbSevere (version2)
    ID: PROBSEVERE
    The probability of any severe is the max(ProbHail,ProbWind,ProbTor).
  446. ProbSevere Accumulation 20% to 49%
    ID: PROBSEVACCUMLOW
    ProbSevere Accumulation 20% to 49%
  447. PROBSEVTESTACCUM
    ID: PROBSEVTESTACCUM
  448. PROBSEVTESTACCUMLOW
    ID: PROBSEVTESTACCUMLOW
  449. PROBTOR
    ID: PROBTOR
  450. PROBTORACCUM
    ID: PROBTORACCUM
  451. Quantitative Precip Forecast
    ID: QPF6hr
    WPC 6hr Quantitative Precip Forecast QPF (in)
  452. RAP ConUS Latest Simulated Radar
    ID: RAP-CONUS-PRAT-SFC-DBZ
    View of RAP-CONUS-PRAT-SFC
  453. RAP ConUS Precipitation Rate
    ID: RAP-CONUS-PRAT-SFC
    RAP-CONUS-PRAT-SFC
  454. RICKK
    ID: RICKK
    RICKK
  455. 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 Version4.3, Alaska region
  456. 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)
  457. 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)
  458. 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)
  459. 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
  460. 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
  461. 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
  462. 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
  463. 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
  464. 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
  465. 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
  466. 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
  467. 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
  468. 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
  469. 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
  470. 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
  471. 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
  472. 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
  473. 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
  474. 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
  475. 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
  476. 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
  477. 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
  478. 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
  479. 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 Version4.3, Alaska
  480. 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)
  481. 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)
  482. 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)
  483. russd-conus
    ID: russd-conus
  484. russd-geotaput
    ID: russd-geotaput
  485. RVER-ICEX-AP
    ID: RVER-ICEX-AP
  486. RVER-ICEX-MB
    ID: RVER-ICEX-MB
  487. RVER-ICEX-NC
    ID: RVER-ICEX-NC
  488. RVER-ICEX-NE
    ID: RVER-ICEX-NE
  489. RVER-ICEX-NW
    ID: RVER-ICEX-NW
  490. SAAWSO locations
    ID: SAAWSOsites
    SAAWSO field project sites
  491. 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.
  492. 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.
  493. 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.
  494. Sea Surface Temperature
    ID: NESDIS-SST
    NESDIS: Hi-Res Sea Surface Temperature
  495. SEDAC Population Count
    ID: gpw-v4-population-count
  496. SEDAC Population Density
    ID: gpw-v4-population-density
    gpw-v4-population-density
  497. Severe Weather Outlook Day2
    ID: SPCsvday2
    Severe Weather Outlook Day2
  498. Severe Weather Outlook Day3
    ID: SPCsvday3
    Severe Weather Outlook Day3
  499. Severe Weather Outlook Day4
    ID: SPCsvday4
    Severe Weather Outlook Day4
  500. Severe Weather Outlook Day5
    ID: SPCsvday5
    Severe Weather Outlook Day5
  501. Severe Weather Warning Outlines
    ID: SevereOutl
    Tornado, Thunderstorm, Flash Flood and Marine Warnings (outlines only, no fill)
  502. Severe Weather Warnings
    ID: Severe
    Tornado, Thunderstorm, Flash Flood and Marine Warning polygons.
  503. Severe Weather Warning Vectors
    ID: SevereVect
    Tornado and Thunderstorm Warning Vectors
  504. Severe Weather Watch Box
    ID: SAW
    Severe Weather Watch Box - Aviation
  505. Severe Wind Outlook Day1
    ID: SPCwnday1
    Severe Wind Outlook Day1 (%)
  506. Ship & Buoy
    ID: SSEC-ShipBuoy
    SSEC - ShipBuoy
  507. SIGMET Convective
    ID: SIGMET-Convective
    SIGMET-Convective
  508. SIGMET Outlook
    ID: SIGMET-Outlook
    SIGMET-Outlook
  509. SKITrails
    ID: SKITrails
    Nordic ski trail locations in Wisconsin For more info see: http://www.madnorski.org/area-trails/
  510. Snow Fall Rate
    ID: NESDIS-SnowFallRate
    AMSU Snow Fall Rate Global by NOAA-NESDIS
  511. South Pole IR Composite
    ID: SPCOMP
    South Pole IR Polar and Geostationary Composite
  512. SPC reports 12Z to 12Z
    ID: SPCREPS12Z12Z
    SPCREPS12Z12Z
  513. 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
  514. Storm Cell Id and Tracking - Track
    ID: SCIT
    Storm Cell Id and Tracking - Track
  515. Storm Relative Velocity ARX
    ID: NEXRAD-ARX-SRVEL1
    NEXRAD: Storm Relative Velocity ARX (kts)
  516. Storm Relative Velocity GRB
    ID: NEXRAD-GRB-SRVEL1
    NEXRAD Storm Relative Velocity GRB
  517. Storm Relative Velocity MKX
    ID: NEXRAD-MKX-SRVEL1
    NEXRAD: Storm Relative Velocity MKX (kts)
  518. Storm Relative Velocity site1
    ID: NEXRAD-site1-SRVEL1
    NEXRAD: Storm Relative Velocity SITE1 (kts)
  519. Storm Relative Velocity site2
    ID: NEXRAD-site2-SRVEL1
    NEXRAD: Storm Relative Velocity SITE2 (kts)
  520. Storm Relative Velocity site3
    ID: NEXRAD-site3-SRVEL1
    NEXRAD: Storm Relative Velocity SITE3 (kts)
  521. Storm Reports 3hrs
    ID: StormReports
    Storm Reports (last 3hrs)
  522. Storm Reports 24hrs
    ID: StormReports24
    Storm Reports (last 24hrs)
  523. Stroke Density XP
    ID: XLSD
    XLSD - Experimental product, Restricted to SSEC internal use only!
  524. SVRWARNS12Z12Z
    ID: SVRWARNS12Z12Z
  525. Temperature analysis
    ID: sfcTemp
    Surface Contours: Air Temperature (Regional)
  526. Temperature contours ConUS
    ID: SFCCON-T
    Surface Contours: Air Temperature (ConUS)
  527. Temperature contours Europe
    ID: SFCEURO-T
    SFCON: Surface Air Temperature (ConEU)
  528. Terminal Area Forecasts
    ID: TAF
    Terminal Aerodrome Forecast (TAF)
  529. Terra Aerosol Optical Depth
    ID: TERRA-AER
    MODIS: TERRA Aerosol Optical Depth (ta)
  530. Terra False Color
    ID: terrafalsecolor
    CIMSS-MODIS Satellite False Color (Terra)
  531. Terra Land Surface True Color
    ID: GLOBALterratc
    MODIS: Terra land Surface True Color composite
  532. Terra MODIS False Color Composites (Day)
    ID: terrafc-day
    Terra MODIS False Color Composites (Day)
  533. Terra MODIS False Color Swaths
    ID: terrafc-pass
    Terra MODIS False Color Swaths
  534. Terra MODIS Infrared Composites (Day)
    ID: terrair-day
    Terra MODIS Infrared Composites (Day)
  535. Terra MODIS Infrared Composites (Night)
    ID: terrair-night
    Terra MODIS Infrared Composites (Night)
  536. Terra MODIS Infrared Swaths
    ID: terrair-pass
    Terra MODIS Infrared Swaths
  537. Terra MODIS Near Infrared Composites (Day)
    ID: terranir-day
    Terra MODIS Near Infrared Composites (Day)
  538. Terra MODIS Near Infrared Swaths
    ID: terranir-pass
    Terra MODIS Near Infrared Swaths
  539. Terra MODIS Short Wave Infrared Composites (Day)
    ID: terraswir-day
    Terra MODIS Short Wave Infrared Composites (Day)
  540. Terra MODIS Short Wave Infrared Composites (Night)
    ID: terraswir-night
    Terra MODIS Short Wave Infrared Composites (Night)
  541. Terra MODIS Short Wave Infrared Swaths
    ID: terraswir-pass
    Terra MODIS Short Wave Infrared Swaths
  542. Terra MODIS True Color Composites (Day)
    ID: terratc-day
    Terra MODIS True Color Composites (Day)
  543. Terra MODIS True Color Swaths
    ID: terratc-pass
    Terra MODIS True Color Swaths
  544. Terra MODIS Visible Composites (Day)
    ID: terravis-day
    Terra MODIS Visible Composites (Day)
  545. Terra MODIS Visible Swaths
    ID: terravis-pass
    Terra MODIS Visible Swaths
  546. Terra MODIS Water Vapor Composites (Day)
    ID: terrawv-day
    Terra MODIS Water Vapor Composites (Day)
  547. Terra MODIS Water Vapor Composites (Night)
    ID: terrawv-night
    Terra MODIS Water Vapor Composites (Night)
  548. Terra MODIS Water Vapor Swaths
    ID: terrawv-pass
    Terra MODIS Water Vapor Swaths
  549. Terra Orbit times
    ID: POESNAV-TERRApoint
    POES Orbit Locations - Terra
  550. Terra Orbit tracks
    ID: POESNAV-TERRAtrack
    POES Orbit Tracks - Terra
  551. Terra True Color
    ID: terratruecolor
    CIMSS-MODIS Satellite True Color (Terra)
  552. test30m-flood
    ID: test30m-flood
    test30m-flood
  553. TESTGRBRADF
    ID: TESTGRBRADF
    TESTGRBRADF
  554. Thunderstorm Watches/Warnings
    ID: WWSEVTRW
    Thunderstorm Watches and Warnings
  555. Tornado Outlook Day1
    ID: SPCtnday1
    Tornado Outlook Day1 (%)
  556. Tornado Watches/Warnings
    ID: WWTORNADO
    Tornado Watches and Warnings
  557. TORPATHS
    ID: TORPATHS
  558. TORWARNS12Z12Z
    ID: TORWARNS12Z12Z
  559. Total Column Sulphur Dioxide
    ID: AURA-SO2
    AURA - OMI Total Column Sulphur Dioxide (SO2)
  560. True Color Clear View
    ID: BRDF
    MODIS Clear View ConUS Composite. BRDF (Bidirectional Reflectance Distribution Function) is a 16-day cloud-free composite.
  561. TS Cones - Atlantic and EPacific
    ID: TSCONEALL
    TS Cones - Atlantic and EPacific
  562. TS Cones - CPacific and WPacific
    ID: PNCONEALL
    TS Cones - CPacific and WPacific
  563. TS HDOB - Atlantic points
    ID: TSHDOBATLparm
    TS HDOB - Atlantic points
  564. TS HDOB - Atlantic winds
    ID: TSHDOBATL
    TS HDOB - Atlantic winds
  565. TS HDOB - EPacific points
    ID: TSHDOBEPACparm
    TS HDOB - EPacific points
  566. TS HDOB - EPacific winds
    ID: TSHDOBEPAC
    TS HDOB - EPacific winds
  567. TS Points - Atlantic and EPacific
    ID: TSPOINTALL
    TS Points - Atlantic and EPacific
  568. TS Points - CPacific and WPacific
    ID: PNPOINTALL
    TS Points - CPacific and WPacific
  569. TS Tracks - Atlantic and EPacific
    ID: TSTRACKALL
    TS Tracks - Atlantic and EPacific
  570. TS Tracks - CPacific and WPacific
    ID: PNTRACKALL
    TS Tracks - CPacific and WPacific
  571. Turbulence Advisory
    ID: AIRMET-TURB
    AIRMET-Turlulence Advisory
  572. Upper Level Divergence
    ID: div10kmrap
    NSSL: Upper Level Divergence RAP, Radar, GOES
  573. Upper Level Divergence RadSat
    ID: div10kmsatradar
    NSSL: Upper Level Divergence RAP, Radar, GOES
  574. Urban Land Cover Sites
    ID: CapStone-sites
    Zach Olson"s GIS-Certificate Program capstone project.
  575. UWIREMIS locations
    ID: UWIREMISsites
    UWIREMIS download sites
  576. Vegetation Index
    ID: conusndvi
    NSSL Normalized Difference Vegetation Index
  577. VIIRS Active Fire Locations
    ID: FIRMS-VIIRSActiveFires
    FIRMS: VIIRS I-Band 375 m Active Fire Locations
  578. VIIRS Active Fire Locations (Raster)
    ID: FIRMS-VIIRSActiveFires-Raster
    View of FIRMS-VIIRSActiveFires
  579. VIIRS Aerosol Optical Depth
    ID: VIIRS-AOD
    VIIRS Aerosol Optical Depth
  580. VIIRS Cloud Optical Thickness
    ID: VIIRS-COT
    VIIRS Cloud Optical Thickness
  581. VIIRS Satellite Detected Fire Locations
    ID: VIIRS-Fire
    VIIRS Satellite Detected Fire Locations
  582. VIIRS True Color
    ID: VIIRS-TC
    VIIRS True Color
  583. Vis Winds 800-700mb
    ID: AMV-VISmid
    AMV: Middle Level Visible (700-800mb)
  584. Vis Winds 925-801mb
    ID: AMV-VISlow
    AMV: Lower Level Visible (801-925mb)
  585. Volcanic Ash Advisory
    ID: Volcano
    Volcanic Ash Advisories: Source Volcano
  586. Volcanic Ash Adv plumes
    ID: VAA
    Volcanic Ash Advisories: Ash Clouds
  587. WFABBA-MASK
    ID: WFABBA-MASK
    WFABBA-MASK
  588. 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.
  589. WI Coastal Shaded Relief
    ID: WIcoastalshdrlf
    WI coastal shaded relief map generated from LiDAR data.
  590. WI Coastal Shaded Relief - Gray
    ID: WIcoastalshdrlf-gray
    WI coastal shaded relief map generated from LiDAR data.
  591. 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).
  592. 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.
  593. Winter Road Conditions
    ID: ROADS
    Northern Tier Winter Road Conditions (WRC) decoded from state DOT text.
  594. Winter Weather Hazards
    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.
  595. 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.
  596. Wisconsin Counties
    ID: wi-counties-basic
  597. 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).
  598. 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.
  599. World Airports
    ID: Airports
    Location of Airports