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 (60 min, MODIS)
  7. Aqua Aerosol Optical Depth
    ID: AQUA-AER
    MODIS: AQUA Aerosol Optical Depth (ta)
  8. Aqua False Color
    ID: aquafalsecolor
    CIMSS-MODIS Satellite False Color (Aqua)
  9. Aqua Land Surface True Color
    ID: GLOBALaquatc
    MODIS: Aqua Land Surface True Color
  10. Aqua MODIS False Color Composites (Day)
    ID: aquafc-day
    Aqua MODIS False Color Composites (Day)
  11. Aqua MODIS False Color Swaths
    ID: aquafc-pass
    Aqua MODIS False Color Swaths
  12. Aqua MODIS Infrared Composites (Day)
    ID: aquair-day
    Aqua MODIS Infrared Composites (Day)
  13. Aqua MODIS Infrared Composites (Night)
    ID: aquair-night
    Aqua MODIS Infrared Composites (Night)
  14. Aqua MODIS Infrared Swaths
    ID: aquair-pass
    Aqua MODIS Infrared Swaths
  15. Aqua MODIS Near Infrared Composites (Day)
    ID: aquanir-day
    Aqua MODIS Near Infrared Composites (Day)
  16. Aqua MODIS Near Infrared Swaths
    ID: aquanir-pass
    Aqua MODIS Near Infrared Swaths
  17. Aqua MODIS Short Wave Infrared Composites (Day)
    ID: aquaswir-day
    Aqua MODIS Short Wave Infrared Composites (Day)
  18. Aqua MODIS Short Wave Infrared Composites (Night)
    ID: aquaswir-night
    Aqua MODIS Short Wave Infrared Composites (Night)
  19. Aqua MODIS Short Wave Infrared Swaths
    ID: aquaswir-pass
    Aqua MODIS Short Wave Infrared Swaths
  20. Aqua MODIS True Color Composites (Day)
    ID: aquatc-day
    Aqua MODIS True Color Composites (Day)
  21. Aqua MODIS True Color Swaths
    ID: aquatc-pass
    Aqua MODIS True Color Swaths
  22. Aqua MODIS Visible Composites (Day)
    ID: aquavis-day
    Aqua MODIS Visible Composites (Day)
  23. Aqua MODIS Visible Swaths
    ID: aquavis-pass
    Aqua MODIS Visible Swaths
  24. Aqua MODIS Water Vapor Composites (Day)
    ID: aquawv-day
    Aqua MODIS Water Vapor Composites (Day)
  25. Aqua MODIS Water Vapor Composites (Night)
    ID: aquawv-night
    Aqua MODIS Water Vapor Composites (Night)
  26. Aqua MODIS Water Vapor Swaths
    ID: aquawv-pass
    Aqua MODIS Water Vapor Swaths
  27. Aqua Orbit times
    ID: POESNAV-AQUApoint
    POES Orbit Locations - Aqua
  28. Aqua Orbit tracks
    ID: POESNAV-AQUAtrack
    POES Orbit Tracks - Aqua
  29. ASOS-dewt
    ID: ASOS-dewt
    ASOS-dewt
  30. Blended TPW GPS
    ID: NESDIS-BTPWgps
    NESDIS-BTPWgps
  31. Blended TPW Percent
    ID: NESDIS-BTPWpct
    NESDIS-BTPWpct
  32. Cladophora Classification
    ID: clad
    Estimate of 2005 algae extent along coastal Lake Michigan.
  33. CLAVR-x Cloud Depth
    ID: CloudDepth-CLAVRX
    CloudDepth-CLAVRX
  34. CLAVR-x Cloud Effective Radius
    ID: CloudReff-CLAVRX
    CloudReff-CLAVRX
  35. CLAVR-x Cloud Top Height
    ID: CloudHght-CLAVRX
    CloudHght-CLAVRX
  36. CLAVR-x Cloud Top Pressure
    ID: CloudPres-CLAVRX
    CloudPres-CLAVRX
  37. CLAVR-x Cloud Top Temperature
    ID: CloudTemp-CLAVRX
    CloudTemp-CLAVRX
  38. Cloud Phase
    ID: FLStestcphase
    1km Cloud Phase
  39. Cloud Thickness
    ID: FLStestcthick
    1km Cloud Thickness (ft)
  40. Cloud Top Cooling
    ID: CIMSS-CTCimage
    CIMSS-Cloud Top Cooling image
  41. Cloud Top Cooling targets
    ID: CIMSS-CTCtargets
    CIMSS-Cloud Top Cooling targets
  42. Convective Outlook - Categorical
    ID: SPC-ConvOutlook-CATG
    SPC Convective Outlook - Categorical
  43. Convective Outlook - Categorical (color map)
    ID: SPC-ConvOutlook-CATG-cmap
    View of SPC-ConvOutlook-CATG
  44. Convective Outlook Day1
    ID: SPCcoday1
    Convective Outlook Day1 (Category) id=SPCcoday1
  45. Convective Outlook Day2
    ID: SPCcoday2
    Convective Outlook Day2 (Category)
  46. Convective Outlook Day3
    ID: SPCcoday3
    Convective Outlook Day3 (Categorical)
  47. CSPP download sites
    ID: CSPPsites
    CSPP download sites
  48. 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.
  49. 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.
  50. 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.
  51. 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.
  52. DaveP contour at 20
    ID: dpcontour20
    dpcontour20
  53. DaveP contour test
    ID: dpcontour
    dpcontour
  54. DNB-ClearView
    ID: DNB-ClearView
    DNB-ClearView
  55. Earthquake Magnitude
    ID: Earthquake-mag
    Earthquake Magnitude (Past 24hr)
  56. Eclipse Path
    ID: Eclipse
    Eclipse Path
  57. Effective Bulk Shear
    ID: EBSPS
    ProbSevere effective bulk shear merged and smoothed
  58. EU Radar reflectivity
    ID: eurx
    ConEU Radar reflectivity (RESTRICTED)
  59. 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
  60. 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
  61. 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
  62. Fire Danger Index Africa
    ID: ZAFDI
    MODIS Fire Danger Index South Africa by CIMSS-DBCRAS
  63. Fire Danger Index ConUS
    ID: CONUSFDI
    MODIS Fire Danger Index (FDI) ConUS by CIMSS-DBCRAS
  64. Fire Hazards
    ID: REDFLAG
    Red Flag Warnings and Fire Weather Watches
  65. Fire Weather Outlook - Categorical
    ID: SPC-FireOutlook-CATG
    SPC Fire Weather Outlook - Categorical
  66. Fire Weather Outlook - Categorical (color map)
    ID: SPC-FireOutlook-CATG-cmap
    SPC Fire Weather Outlook - Categorical (color map)
  67. Fire Weather Outlook Day1
    ID: SPCfwday1
    Fire Weather Outlook Day1 (Category)
  68. Fire Weather Outlook Day2
    ID: SPCfwday2
    Fire Weather Outlook Day2 (Category)
  69. Flash Flood Hazards
    ID: WFLASH
    Flash Flood Hazards
  70. Flood Hazards
    ID: WWFLOOD
    Flood Watches and Warnings
  71. Flood Outlook Product
    ID: FOP
    WPC FLood Outlook Product
  72. Flood Warnings
    ID: FLOODWARN
    Flood Warning Polygons
  73. Fog Hazards
    ID: WFOG
    Fog Hazards
  74. Fractional Snow Cover
    ID: snow-fraction
    Global daily maps of snow fraction are produced from VIIRS data. At this time information on the presence/absence of snow in every VIIRS pixel (i.e., binary snow mask) is obtained from the IDPS Binary Snow Map product. Snow fraction is derived with a new (NDE) algorithm which estimates the area fraction of the pixel covered with snow. Within the NDE reflectance-based snow fraction algorithm the snow fraction is inferred from the the observed reflectance in the VIIRS visible band (I1). Snow fraction is assumed linearly related to the visible reflectance of the pixel. The NDE snow fraction approach is different from the one in the current IDPS algorithm where snow fraction is estimated through aggregation of the VIIRS binary snow map within 2x2 pixel blocks.
  75. Fronts and Troughs
    ID: Fronts
    NCEP Frontal Analysis: fronts and troughs
  76. G16 ABI Derived Fire image
    ID: IRFIRE2
    G16 ABI Derived Fire image
  77. GFS-CONUS-PCP-SFC
    ID: GFS-CONUS-PCP-SFC
    GFS-CONUS-PCP-SFC
  78. GLERL Surface Environmental Analysis
    ID: GLERL-GLSEAimage
    GLERL Surface Environmental Analysis
  79. Global Black Marble
    ID: VIIRS-MASK-54000x27000
    VIIRS Night Global Black Marble by NASA
  80. Global DayNight Mask
    ID: DayNight
    Global DayNight Mask
  81. 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.
  82. 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.
  83. 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.
  84. 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.
  85. 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.
  86. 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.
  87. 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.
  88. Global Night Lights
    ID: NightLightsColored
    Global Night Lights (enhanced)
  89. 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.
  90. 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.
  91. 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.
  92. Global Visible - full
    ID: global1kmvisfull
  93. 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.
  94. 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.
  95. GMS-8-TCRGB-map
    ID: GMS-8-TCRGB-map
    GMS-8-TCRGB-map
  96. GMS-8-TCRGB-nomap
    ID: GMS-8-TCRGB-nomap
    GMS-8-TCRGB-nomap
  97. GOES CAPE
    ID: cimssdpicapeli
    CIMSS-DPI Convective Available Potential Energy (Li et al. 2008)
  98. GOES Cloud Phase
    ID: FLSgeocphase
    FLS: GOES Cloud Phase
  99. GOES Cloud Thickness
    ID: FLSgeocthick
    FLS: GOES Cloud Thickness
  100. 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
  101. 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.
  102. 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.
  103. 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.
  104. 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.
  105. 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.
  106. 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.
  107. 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.
  108. 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.
  109. 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.
  110. 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.
  111. 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.
  112. 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.
  113. 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.
  114. 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.
  115. 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.
  116. 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.
  117. 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.
  118. 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.
  119. 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.
  120. 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.
  121. 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.
  122. 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.
  123. 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.
  124. 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.
  125. 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.
  126. 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.
  127. 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.
  128. 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.
  129. 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.
  130. 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.
  131. 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.
  132. 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.
  133. 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.
  134. 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.
  135. 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.
  136. 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.
  137. 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.
  138. 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.
  139. 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.
  140. 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.
  141. 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.
  142. 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.
  143. 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.
  144. 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.
  145. 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.
  146. 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.
  147. 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.
  148. 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.
  149. 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.
  150. 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.
  151. 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.
  152. 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.
  153. 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.
  154. 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.
  155. 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.
  156. 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.
  157. 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.
  158. 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.
  159. 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.
  160. 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.
  161. 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.
  162. 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.
  163. GOES East ABI Meso1 B13 (Red)
    ID: G16-ABI-MESO1-BAND13-RED
    View of G16-ABI-MESO1-BAND13
  164. 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.
  165. 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.
  166. 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.
  167. 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.
  168. 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.
  169. 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.
  170. 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.
  171. 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.
  172. 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.
  173. 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.
  174. 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.
  175. 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.
  176. 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.
  177. 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.
  178. 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.
  179. 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.
  180. 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.
  181. 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.
  182. 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.
  183. 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.
  184. 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.
  185. GOES East ABI Meso2 B13 (Cyan)
    ID: G16-ABI-MESO2-B13-CYAN
    View of G16-ABI-MESO2-BAND13
  186. 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.
  187. 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.
  188. 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.
  189. GOES East Full Disk Convection (prelim non-op)
    ID: GOES-16-DayConvectiveStorm-cve
    GOES-16-DayConvectiveStorm-cve
  190. GOES East Full Disk Day Microphysics (prelim non-op)
    ID: GOES-16-DayMicrophysics-dms
    GOES-16-DayMicrophysics-dms
  191. GOES East Full Disk Natural Color (prelim non-op)
    ID: GOES-16-NaturalColor-dnc
    GOES-16-NaturalColor-dnc
  192. GOES East Full Disk Night Microphysics (prelim non-op)
    ID: GOES-16-NightMicrophysics-ngt
    GOES-16-NightMicrophysics-ngt
  193. 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.
  194. GOES East Full Disk Snow/Fog (prelim non-op)
    ID: GOES-16-SnowFog-dsl
    GOES-16-SnowFog-dsl
  195. 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.
  196. GOES IFR (Low) Probability
    ID: FLSgeolifr
    FLS: GOES Low IFR
  197. GOES IFR Probability
    ID: FLSgeoifr
    FLS: GOES IFR
  198. 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.
  199. GOES Infrared 2byte
    ID: conusir2
    ConUS Infrared 4km - Temp
  200. GOES IR Aviation
    ID: conusiravn
    GOES IR Aviation
  201. GOES IR Dvorak
    ID: conusirbd
    GOES IR Dvorak
  202. GOES IR Funk Top
    ID: conusirfunk
    GOES IR Funk Top
  203. GOES IR Overshooting Tops
    ID: conusirott
    GOES IR Overshooting Tops
  204. GOES IR Rainbow
    ID: conusirnhc
    GOES IR Rainbow
  205. GOES Lifted Index
    ID: cimssdpilili
    GOES-DPI Lifted Index (Li et al. 2008)
  206. GOES Ozone
    ID: cimssdpiozli
    GOES-DPI Ozone (Li etal 2008)
  207. GOES Precipitable Water
    ID: cimssdpipwli
    CIMSS-DPI Precipitable Water (mm)
  208. 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.
  209. GOES West Full Disk IR
    ID: GOES-W-FD-IR
    GOES West Full Disk IR (Infrared)
  210. GOES West Full Disk LWIR
    ID: GOES-W-FD-LWIR
    GOES West Full Disk LWIR (Long Wave Infrared)
  211. GOES West Full Disk NIR
    ID: GOES-W-FD-NIR
    GOES West Full Disk NIR (Near Infrared)
  212. GOES West Full Disk VIS
    ID: GOES-W-FD-VIS
    GOES West Full Disk VIS (Visible)
  213. GOES West Full Disk WV
    ID: GOES-W-FD-WV
    GOES West Full Disk WV (Water Vapor)
  214. GOES WildFires
    ID: WFABBA
    GOES WildFire ABBA images
  215. GOES WildFire targets
    ID: WFABBAtargets
    GOES WildFire ABBA targets
  216. Great Lakes Bathymetry
    ID: GLBathymetry
    Great Lakes Bathymetry For more info see: http://www.ngdc.noaa.gov/mgg/greatlakes/greatlakes.html
  217. Great Lakes Surface Analysis
    ID: glsea
    Great Lakes Surface Environmental Analysis (GLSEA). For more info see: http://coastwatch.glerl.noaa.gov/glsea/doc
  218. Hail Outlook Day1
    ID: SPChaday1
    Hail Outlook Day1 (%)
  219. HIMAWARI-JP-B09
    ID: HIMAWARI-JP-B09
  220. Himawari8 - Day Convective Storm (cve)
    ID: H-DayConvectiveStorm-cve
    Himawari8 - Day Convective Storm (cve)
  221. Himawari8 - Day Microphysics (dms)
    ID: H-DayMicrophysics-dms
    Himawari8 - Day Microphysics (dms)
  222. Himawari8 - Dust (dst)
    ID: H-Dust-dst
    Himawari8 - Dust (dst)
  223. Himawari8 - Natural Color (dnc)
    ID: H-NaturalColor-dnc
    Himawari8 - Natural Color (dnc)
  224. Himawari8 - Night Microphysics (ngt)
    ID: H-NightMicrophysics-ngt
    Himawari8 - Night Microphysics (ngt)
  225. Himawari8 - Snow and Fog (dsl)
    ID: H-SnowFog-dsl
    Himawari8 - Snow and Fog (dsl)
  226. Himawari8 - True Color (tre)
    ID: H-TrueColor-tre
    Himawari8 - True Color (tre)
  227. Himawari8 - True Color (wgt)
    ID: H-TrueColor-wgt
    Himawari8 - True Color (wgt)
  228. 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.
  229. Himawari8 IR 8.6um Phase
    ID: HIMAWARI-B11
    Himawari8 IR Band11 8.6um Cloud-top Phase
  230. Himawari8 IR 9.6um Ozone
    ID: HIMAWARI-B12
    Himawari8 IR Band12 9.6um Ozone (total)
  231. Himawari8 IR 10.4um Clean Window
    ID: HIMAWARI-B13
    Himawari8 IR Band13 10.4um Clean IR Longwave Window
  232. Himawari8 IR 11.2um Full Disk
    ID: HIMAWARI-B14
    Himawari8 IR Band14 11.2um Traditional IR Longwave Window
  233. Himawari8 IR 11.2um Japan
    ID: HIMAWARI-JP-B14
    Himawari8 IR 11.2um Japan
  234. Himawari8 IR 11.2um Target
    ID: HIMAWARI-T1-B14
    Himawrai8 IR 11.2um Target
  235. Himawari8 IR 12.4um Dirty Window
    ID: HIMAWARI-B15
    Himawari8 IR Band15 12.4um Dirty Longwave Window
  236. Himawari8 IR 13.3um CO2
    ID: HIMAWARI-B16
    Himawari8 IR Band16 13.3um CO2
  237. Himawari8 NIR 0.86um Vegetation
    ID: HIMAWARI-B04
    Himawari8 Near IR Band04 0.86um Vegetation
  238. Himawari8 NIR 1.6um Snow
    ID: HIMAWARI-B05
    Himawari8 NIR 1.6um Snow/Ice
  239. Himawari8 NIR 2.3um Phase
    ID: HIMAWARI-B06
    Himawari8 NIR Band06 2.3um Cloud-top Phase
  240. Himawari8 RGB Composite
    ID: himawari08-rgb
    Himawari8 RGB Composite
  241. Himawari8 SWIR 3.9um Full Disk
    ID: HIMAWARI-B07
    Himawari8 SWIR Band7 3.9um Full Disk
  242. Himawari8 SWIR 3.9um Japan
    ID: HIMAWARI-JP-B07
    Himawari8 SWIR 3.9um Japan
  243. Himawari8 SWIR 3.9um Target
    ID: HIMAWARI-T1-B07
    Himawari8 SWIR 3.9um Target
  244. Himawari8 Vis 0.47um Blue
    ID: HIMAWARI-B01
    Himawari Visible Band01 0.47um Blue
  245. Himawari8 Vis 0.51um Green
    ID: HIMAWARI-B02
    Himawari8 Visible Band2 0.51um Green
  246. Himawari8 Vis 0.64um Full Disk
    ID: HIMAWARI-B03
    Himawari8 Visible Band3 0.64um Full Disk
  247. Himawari8 Vis 0.64um Japan
    ID: HIMAWARI-JP-B03
    Himawari8 Vis 0.64um Japan
  248. Himawari8 Vis 0.64um Target
    ID: HIMAWARI-T1-B03
    Himawrai8 Vis 0.64um Target
  249. Himawari8 WV 6.2um Upper-level
    ID: HIMAWARI-B08
    Himawari8 WV Band8 6.2um Upper Level Tropospheric Water Vapor
  250. Himawari8 WV 6.9um Mid-level
    ID: HIMAWARI-T1-B09
    Himawari8 WV 6.9um Mid-level
  251. Himawari8 WV 6.9um Mid-level
    ID: HIMAWARI-B09
    Himawari8 WaterVapor Band9 6.9um Upper/Mid-level Tropospeheric Water Vapor
  252. Himawari8 WV 7.3um Lower-level
    ID: HIMAWARI-B10
    Himawari8 WV Band10 7.3um Lower-level Tropospheric Water Vapor
  253. Hokulea course position
    ID: Hokulea-POSN
    Hokulea course position
  254. Hokulea course track
    ID: Hokulea-TRAK
    Hokulea course track
  255. Hokulea infrared satellite image
    ID: Hokulea-IR
    Hokulea infrared satellite image
  256. Hokulea visible satellite image
    ID: Hokulea-VIS
    Hokulea visible satellite image
  257. Hokulea water vapor satellite image
    ID: Hokulea-WV
    Hokulea water vapor satellite image
  258. HRR-CONUS-PCP-SFC
    ID: HRR-CONUS-PCP-SFC
    HRR-CONUS-PCP-SFC
  259. HRRR ConUS PRAT Latest
    ID: HRR-CONUS-PCP-LATEST
    View of HRR-CONUS-PCP-SFC
  260. HRRR ConUS Radar Latest
    ID: HRR-CONUS-RADAR-LATEST
    View of HRR-CONUS-PCP-SFC
  261. HRRR Surface Smoke Forecast
    ID: HRRR-smoke-surface
    NOAA Earth System Research Laboratory High Resolution Rapid Refresh (HRRR) Surface Smoke forecast model, uses VIIRS inputs.
  262. 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.
  263. Hurricane Sandy 24-hr Precipitation
    ID: sandy-precip
  264. Hurricane Sandy IR
    ID: sandy-ir
  265. Hurricane Sandy METAR
    ID: sandy-metar
  266. Hurricane Sandy NAM Pressure
    ID: sandy-nam-b1
    View of sandy-nam
  267. Hurricane Sandy NAM Wind Gust
    ID: sandy-nam-b3
    View of sandy-nam
  268. Hurricane Sandy Social Media
    ID: sandy-social
  269. Hurricane Sandy Storm Report
    ID: sandy-report
  270. Hurricane Sandy Storm Track
    ID: sandy-track
  271. Hurricane Sandy Warnings
    ID: sandy-wwa
    NWS Watches, Warnings, and Advisories
  272. 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.
  273. Icing Advisory
    ID: AIRMET-ICE
    AIRMET Icing Advisory
  274. Icing Base Altitude
    ID: ICING-BASE
    ICING: ConUS Base Altitude (kft)
  275. Icing Threat Potential
    ID: ICING-THREAT
    ICING: ConUS Threat Potential (Cat)
  276. Icing Top Altitude
    ID: ICING-TOP
    ICING: ConUS Top Altitude (kft)
  277. IFR Advisory
    ID: AIRMET-IFR
    AIRMET-IFR Advisory
  278. IMAPP download sites
    ID: IMAPPsites
    IMAPP download sites
  279. Infrared 6 inch Imagery of Madison
    ID: madisonir
    Infrared 6 inch Imagery of Madison
  280. IR Winds 250-100mb
    ID: AMV-ULhigh
    AMV: Upper Level IR/WV (100-250mb)
  281. IR Winds 350-251mb
    ID: AMV-ULmid
    AMV: Upper Level IR/WV (251-350mb)
  282. IR Winds 500-351mb
    ID: AMV-ULlow
    AMV: Upper Level IR/WV (351-500mb)
  283. IR Winds 599-400mb
    ID: AMV-LLhigh
    AMV: 400-599mb Low Level IR winds
  284. IR Winds 799-600mb
    ID: AMV-LLmid
    AMV: Lower Level IR (600-799mb)
  285. IR Winds 950-800mb
    ID: AMV-LLlow
    AMV: Lower Level IR (800-950mb)
  286. JPSS VIIRS Aerosol Optical Depth
    ID: davidhaod
    JPSS VIIRS Aerosol Optical Depth
  287. JPSS VIIRS Cloud Optical Thickness
    ID: davidhcot
    JPSS VIIRS Cloud Optical Thickness
  288. 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
  289. Landsat7 Orbit times
    ID: POESNAV-LSAT7point
    Lansat 7 - Orbit Times
  290. Landsat7 Orbit tracks
    ID: POESNAV-LSAT7track
    Landsat 7 - Orbit Track
  291. Landsat8 Orbit times
    ID: POESNAV-LSAT8point
    Landsat 8 - Orbit Times
  292. Landsat8 Orbit tracks
    ID: POESNAV-LSAT8track
    Landsat 8 - Orbit Track 7 day predict
  293. 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.
  294. 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.
  295. 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.
  296. LaRC Cloud Phase GOESE 4km
    ID: LARC-GOESE-4km-CloudPhase
    LaRC Cloud Phase GOESE 4km
  297. LaRC Cloud Phase GOESE 8km
    ID: LARC-CloudPhase-GOESE-8km
    LaRC Cloud Phase GOESE 8km
  298. LaRC Cloud Phase GOESW 8km
    ID: LARC-CloudPhase-GOESW-8km
    LaRC Cloud Phase GOESW 8km
  299. LaRC Cloud Phase HM 8km
    ID: LARC-CloudPhase-HM-8km
    LaRC Cloud Phase HM 8km
  300. LaRC Cloud Phase MET8 9km
    ID: LARC-CloudPhase-MET8-9km
    LaRC Cloud Phase MET8 9km
  301. LaRC Cloud Phase MSG 9km
    ID: LARC-CloudPhase-MSG-9km
    LaRC Cloud Phase MSG 9km
  302. LaRC Cloud Top Height GOESE 8km
    ID: LARC-CloudZtop-GOESE-8km
    LaRC Cloud Top Height GOESE 8km
  303. LaRC Cloud Top Height GOESW 8km
    ID: LARC-CloudZtop-GOESW-8km
    LaRC Cloud Top Height GOESW 8km
  304. LaRC Cloud Top Height HM 8km
    ID: LARC-CloudZtop-HM-8km
    LaRC Cloud Top Height HM 8km
  305. LaRC Cloud Top Height MET8 9km
    ID: LARC-CloudZtop-MET8-9km
    LaRC Cloud Top Height MET8 9km
  306. LaRC Cloud Top Height MSG 9km
    ID: LARC-CloudZtop-MSG-9km
    LaRC Cloud Top Height MSG 9km
  307. Large Wildland Fires
    ID: LgWFire
    RSAC Large Wildland Fires (ConUS only)
  308. LEO Cloud Phase
    ID: FLSleocphase
    FLS: POES Cloud Phase
  309. LEO Cloud Thickness
    ID: FLSleocthick
    FLS: POES Cloud Thickness
  310. LEO IFR Probability
    ID: FLSleoifr
    FLS: POES IFR
  311. LEO Low IFR Probility
    ID: FLSleolifr
    FLS: POES Low IFR Probability
  312. Lightning Group Density preliminary non-operational
    ID: XLGD
    Lightning Group Density preliminary non-Operational
  313. Low/High Pressure
    ID: HighLow
    NCEP Frontal Analysis: Highs and Lows
  314. Low Level Divergence
    ID: div1kmrap
    NSSL: Low Level Divergence RAP only
  315. Low Level Divergence RadSat
    ID: div1kmsatradar
    NSSL: Low Level Divergence RAP, Radar, GOES
  316. Low Level Shear
    ID: nssl-azshear0-2km
    NSSL: Radar Low Level Shear
  317. madison3000
    ID: madison3000
    madison3000
  318. 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/.
  319. Max Expected Size of Hail Track
    ID: nssl-MESHmax120m
    NSSL: Radar Max Expeced Size of Hail Track (120m)
  320. MESHaccum
    ID: MESHaccum
  321. MESHshapes
    ID: MESHshapes
  322. Mesoscale Discussions
    ID: MCD
    SPC: Mesoscale Discussions
  323. METAR
    ID: SSEC-METAR
    Global METAR
  324. Mexico IR
    ID: MEXICOIR
    Mexico Infrared 4km - Gray Scale (Tb)
  325. Mexico Visible
    ID: MEXICOVis
    Mexico Visible 1km (60 min, GEO)
  326. Mid Level Rotation Track
    ID: nssl-rottrackML120m
    NSSL - Radar Mid Level Rotation Track (120m)
  327. Mid Level Shear
    ID: nssl-azshear3-6km
    RADAR: Mid Level Shear
  328. MIMIC Total Precip Water v1
    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.
  329. MIMIC Total Precip Water v2
    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.
  330. MIMIC Total Precip Water v2 (grayscale)
    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.
  331. MIRS 90Ghz Brightness Temperature
    ID: MIRS-BT90
    MIRS 90Ghz Brightness Temperature
  332. MIRS Rain Rate
    ID: MIRS-RainRate
    MIRS Rain Rate
  333. Mountains Obscured Advisory
    ID: AIRMET-MTN
    AIRMET-Mountain Obscured Advisory
  334. MRMS MergedReflectivity
    ID: MERGEDREF
    Multi-Radar/Multi-Sensor MergedReflectivityQCComposite
  335. MSS-SmokeHazeRGB
    ID: MSS-SmokeHazeRGB
    Meteorological Service Singapore (MSS) RGBproduct: Smoke and Haze
  336. MUCAPE
    ID: MUCAPEPS
    ProbSevere merged smoothed MUCAPE [J/kg]
  337. NAIP WI
    ID: NAIPWI
    National Agricultural Imagery Program aerial photography from the Wisconsin Farm Service Agency (WI-FSA) of the USDA.
  338. 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)
  339. NAM-CONUS-PRAT-SFC
    ID: NAM-CONUS-PRAT-SFC
    NAM-CONUS-PRAT-SFC
  340. NAM ConUS Radar Latest
    ID: NAM-CONUS-RADAR-LATEST
    View of NAM-CONUS-PRAT-SFC
  341. NEXRAD Alaska Base Reflectivity
    ID: NEXRAD-Alaska
    NEXRAD-Alaska
  342. NEXRAD antenna coverage
    ID: NEXRADrange
    NEXRAD: 124NMI coverage
  343. NEXRAD antenna locations
    ID: NEXRADsite
    NEXRAD sites and status
  344. NEXRAD CanAm Base Reflectivity
    ID: nexrcomp
    NEXRAD CanAm Base Reflectivity
  345. NEXRAD CanAm Base Reflectivity mask
    ID: nexrrain
    NEXRAD CanAm base Reflectivity mask
  346. NEXRAD CanAm Precipitation Phase
    ID: nexrphase
    NEXRAD CanAm Precipitation Phase
  347. NEXRAD ConUS 1hr Precipitation Total
    ID: nexr1hpcp
    NEXRAD ConUS 1hr Precipitation Total
  348. NEXRAD ConUS Digital Integrated Liquid
    ID: nexrdvl
    NEXRAD ConUS Digital Integrated Liquid
  349. NEXRAD ConUS Enhanced Echo Tops
    ID: nexreet
    NEXRAD ConUS Enhanced Echo Tops
  350. NEXRAD ConUS Hybrid Hydrometeor Class
    ID: nexrhhc
    NEXRAD ConUS Hybrid Hydrometeor Class
  351. NEXRAD ConUS Hybrid Reflectivity
    ID: nexrdhr
    NEXRAD ConUS Hybrid Reflectivity
  352. NEXRAD ConUS Hybrid Reflectivity mask
    ID: nexrhres
    NEXRADConUS Hybrid Reflectivity mask
  353. NEXRAD ConUS Storm Total Precipitation
    ID: nexrstorm
    NEXRAD ConUS Storm Total Precipitation
  354. NEXRAD Guam Base Reflectivity
    ID: NEXRAD-Guam
    NEXRAD Guam Base Reflectivity
  355. NEXRAD Hawaii Base Reflectivity
    ID: NEXRAD-Hawaii
    NEXRAD Hawaii Base Reflectivity
  356. NEXRAD Puerto Rico Base Reflectivity
    ID: NEXRAD-PuertoRico
    NEXRAD Puerto Rico Base Reflectivity
  357. Night Fog IR/SWIR
    ID: conusfog
    Continental US Night Fog 4km - IR/SWIR Tdiff
  358. NOAA15 Orbit times
    ID: POESNAV-N15point
    POES Orbit Locations - NOAA15
  359. NOAA15 Orbit tracks
    ID: POESNAV-N15track
    POES Orbit Tracks - NOAA15
  360. NOAA18 Orbit times
    ID: POESNAV-N18point
    POES Orbit Locations - NOAA18
  361. NOAA18 Orbit tracks
    ID: POESNAV-N18track
    POES Orbit Tracks - NOA18
  362. North Pole IR Composite
    ID: NPCOMP
    North Pole IR Polar and Geostationary Composite
  363. NPP Aerosol Optical Depth
    ID: nppaod
    NPP Aerosol Optical Depth
  364. NPP Day/Night AM Composite - Adaptive
    ID: nppadpam
    NPP Day/Night AM Composite - Adaptive
  365. NPP Day/Night AM Composite - Histogram
    ID: npphstam
    NPP Day/Night AM Composite - Histogram
  366. NPP Day/Night Band (DNB) - Honolulu DB
    ID: nppdnbdyn-hnl
    NPP Day/Night Band (DNB) - Honolulu DB
  367. NPP Day/Night Band (DNB) - Madison DB
    ID: nppdnbdyn-msn
    NPP Day/Night Band (DNB) - Madison DB
  368. NPP Day/Night Band (DNB) - Miami DB
    ID: nppdnbdyn-mia
    NPP Day/Night Band (DNB) - Miami DB
  369. NPP Day/Night Band (DNB) - Puerto Rico DB
    ID: nppdnbdyn-upr
    NPP Day/Night Band (DNB) - Puerto Rico DB
  370. NPP Day/Night Band - Dynamic
    ID: nppdnb
    NPP Day/Night Band - Dynamic
  371. NPP False Color
    ID: nppfc
    NPP False Color
  372. NPP False Color (FC) - Madison DB
    ID: nppfc-msn
    NPP False Color (FC) - Madison DB
  373. NPP Orbit times
    ID: POESNAV-NPPpoint
    POES Orbit Locations - NPP
  374. NPP Orbit tracks
    ID: POESNAV-NPPtrack
    POES Orbit Tracks - NPP
  375. NPP Sea Surface Temperature
    ID: nppsst
    NPP Sea Surface Temperature
  376. NPP Sea Surface Temperature (SST) - Madison DB
    ID: nppsst-msn
    NPP Sea Surface Temperature (SST) - Madison DB
  377. NPP True Color (TC) - Global
    ID: GLOBALnpptc
    NPP True Color (TC) - Global
  378. NPP True Color (TC) - Honolulu DB
    ID: npptc-hnl
    NPP True Color (TC) - Honolulu DB
  379. NPP True Color (TC) - Madison DB
    ID: npptc-msn
    NPP True Color (TC) - Madison DB
  380. NPP True Color (TC) - Miami DB
    ID: npptc-mia
    NPP True Color (TC) - Miami DB
  381. NPP True Color (TC) - Puerto Rico DB
    ID: npptc-upr
    NPP True Color (TC) - Puerto Rico DB
  382. NPP VIIRS Day/Night Band Adaptive Equalized Composites (Day)
    ID: nppdnbada-day
    NPP VIIRS Day/Night Band Adaptive Equalized Histogram Composites (Day)
  383. NPP VIIRS Day/Night Band Adaptive Equalized Composites (Night)
    ID: nppdnbada-night
    NPP VIIRS Day/Night Band Adaptive Equalized Composites (Night)
  384. NPP VIIRS Day/Night Band Adaptive Equalized Swaths
    ID: nppdnbada-pass
    NPP VIIRS Day/Night Band Adaptive Equalized Swaths
  385. NPP VIIRS Day/Night Band ERF Equalized Composites (Day)
    ID: nppdnbdyn-day
    NPP VIIRS Day/Night Band ERF Equalized Composites (Day)
  386. NPP VIIRS Day/Night Band ERF Equalized Composites (Night)
    ID: nppdnbdyn-night
    NPP VIIRS Day/Night Band ERF Equalized Composites (Night)
  387. NPP VIIRS Day/Night Band ERF Equalized Swaths
    ID: nppdnbdyn-pass
    NPP VIIRS Day/Night Band ERF Equalized Swaths
  388. NPP VIIRS False Color Composites (Day)
    ID: nppfc-day
    NPP VIIRS False Color Composites (Day)
  389. NPP VIIRS False Color Swaths
    ID: nppfc-pass
    NPP VIIRS False Color Swaths
  390. NPP VIIRS Long Wave Infrared Composites (Day)
    ID: npplwir-day
    NPP VIIRS Long Wave Infrared Composites (Day)
  391. NPP VIIRS Long Wave Infrared Composites (Night)
    ID: npplwir-night
    NPP VIIRS Long Wave Infrared Composites (Night)
  392. NPP VIIRS Long Wave Infrared Swaths
    ID: npplwir-pass
    NPP VIIRS Long Wave Infrared Swaths
  393. NPP VIIRS Near Infrared Composites (Day)
    ID: nppnir-day
    NPP VIIRS Near Infrared Composites (Day)
  394. NPP VIIRS Near Infrared Swaths
    ID: nppnir-pass
    NPP VIIRS Near Infrared Swaths
  395. NPP VIIRS Short Wave Infrared Composites (Day)
    ID: nppswir-day
    NPP VIIRS Short Wave Infrared Composites (Day)
  396. NPP VIIRS Short Wave Infrared Composites (Night)
    ID: nppswir-night
    NPP VIIRS Short Wave Infrared Composites (Night)
  397. NPP VIIRS Short Wave Infrared Swaths
    ID: nppswir-pass
    NPP VIIRS Short Wave Infrared Swaths
  398. NPP VIIRS True Color Composites (Day)
    ID: npptc-day
    NPP VIIRS True Color Composites (Day)
  399. NPP VIIRS True Color Swaths
    ID: npptc-pass
    NPP VIIRS True Color Swaths
  400. NPP VIIRS Visible-1 Composites (Day)
    ID: nppvis1-day
    NPP VIIRS Visible-1 Composites (Day)
  401. NPP VIIRS Visible-1 Swaths
    ID: nppvis1-pass
    NPP VIIRS Visible-1 Swaths
  402. NPP VIIRS Visible-2 Composites (Day)
    ID: nppvis2-day
    NPP VIIRS Visible-2 Composites (Day)
  403. NPP VIIRS Visible-2 Swaths
    ID: nppvis2-pass
    NPP VIIRS Visible-2 Swaths
  404. nssl-rottrack120m
    ID: nssl-rottrack120m
    nssl-rottrack120m
  405. 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.
  406. NUCAPS-MADIS Mean Layer CAPE
    ID: NUCAPS-MADIS-MLCAPE
    NUCAPS-MADIS-MLCAPE
  407. NUCAPS-MADIS Mean Layer CIN
    ID: NUCAPS-MADIS-MLCIN
    NUCAPS-MADIS-MLCIN
  408. NUCAPS-MADIS Mean Layer LI
    ID: NUCAPS-MADIS-MLLI
    NUCAPS-MADIS-MLLI
  409. 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.
  410. NUCAPS-MADIS Surface CIN
    ID: NUCAPS-MADIS-SBCIN
    NUCAPS-MADIS-SBCIN
  411. NUCAPS-MADIS Surface LI
    ID: NUCAPS-MADIS-SBLI
    NUCAPS-MADIS-SBLI
  412. NWS-AK-TPCP-1DAY
    ID: NWS-AK-TPCP-1DAY
    NWS-AK-TPCP-1DAY
  413. NWS-CONUS-TPCP-1DAY
    ID: NWS-CONUS-TPCP-1DAY
    NWS-CONUS-TPCP-1DAY
  414. NWS County Warning Areas
    ID: NWSCWA
    NWS County Warning Areas
  415. NWSWARNS12Z12Z
    ID: NWSWARNS12Z12Z
    NWSWARNS12Z12Z (Severe and Tornado. No SVSs)
  416. Overshooting Tops targets
    ID: CIMSS-OTtargets
    Cloud OverShooting Tops targets
  417. Pilot Reports
    ID: PIREP
    Pilot Reports: Symbols
  418. POES antenna coverage
    ID: POESANT
    POES antenna coverage
  419. Points of Interest
    ID: POI
    Points of Interest
  420. Precip Rate 5m
    ID: nssl-radprecrate
    NSSL - Radar Precipitation Rate (5m)
  421. Pressure contours ConUS
    ID: SFCCON-PMSL
    Surface Contours: Sea Level Pressure (ConUS)
  422. 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.
  423. Probability of Severe Hail
    ID: nssl-POSH
    NSSL: Radar Probability Of Severe Hail
  424. PROBSEVACCUM
    ID: PROBSEVACCUM
    ≥ 50%
  425. ProbSevere
    ID: ProbSevere
    ProbSevere
  426. ProbSevere Accumulation 20% to 49%
    ID: PROBSEVACCUMLOW
    ProbSevere Accumulation 20% to 49%
  427. PROBSEVTESTACCUM
    ID: PROBSEVTESTACCUM
  428. PROBSEVTESTACCUMLOW
    ID: PROBSEVTESTACCUMLOW
  429. PROBTOR
    ID: PROBTOR
  430. PROBTORACCUM
    ID: PROBTORACCUM
  431. PROBWIND
    ID: PROBWIND
  432. Quantitative Precip Forecast
    ID: QPF6hr
    WPC 6hr Quantitative Precip Forecast QPF (in)
  433. RAP ConUS PRAT Latest
    ID: RAP-CONUS-PRAT-LATEST
    View of RAP-CONUS-PRAT-SFC
  434. RAP ConUS Precip Rate 00Z
    ID: RAP-CONUS-PRAT-SFC-00Z
    RAP ConUS Precip Rate 00Z
  435. RAP ConUS Precip Rate 01Z
    ID: RAP-CONUS-PRAT-SFC-01Z
    RAP ConUS Precip Rate 01Z
  436. RAP ConUS Precip Rate 02Z
    ID: RAP-CONUS-PRAT-SFC-02Z
    RAP ConUS Precip Rate 02Z
  437. RAP ConUS Precip Rate 03Z
    ID: RAP-CONUS-PRAT-SFC-03Z
    RAP ConUS Precip Rate 03Z
  438. RAP ConUS Precip Rate 04Z
    ID: RAP-CONUS-PRAT-SFC-04Z
    RAP ConUS Precip Rate 04Z
  439. RAP ConUS Precip Rate 05Z
    ID: RAP-CONUS-PRAT-SFC-05Z
    RAP ConUS Precip Rate 05Z
  440. RAP ConUS Precip Rate 06Z
    ID: RAP-CONUS-PRAT-SFC-06Z
    RAP ConUS Precip Rate 06Z
  441. RAP ConUS Precip Rate 07Z
    ID: RAP-CONUS-PRAT-SFC-07Z
    RAP ConUS Precip Rate 07Z
  442. RAP ConUS Precip Rate 08Z
    ID: RAP-CONUS-PRAT-SFC-08Z
    RAP ConUS Precip Rate 08Z
  443. RAP ConUS Precip Rate 09Z
    ID: RAP-CONUS-PRAT-SFC-09Z
    RAP ConUS Precip Rate 09Z
  444. RAP ConUS Precip Rate 10Z
    ID: RAP-CONUS-PRAT-SFC-10Z
    RAP ConUS Precip Rate 10Z
  445. RAP ConUS Precip Rate 11Z
    ID: RAP-CONUS-PRAT-SFC-11Z
    RAP ConUS Precip Rate 11Z
  446. RAP ConUS Precip Rate 12Z
    ID: RAP-CONUS-PRAT-SFC-12Z
    RAP ConUS Precip Rate 12Z
  447. RAP ConUS Precip Rate 13Z
    ID: RAP-CONUS-PRAT-SFC-13Z
    RAP ConUS Precip Rate 13Z
  448. RAP ConUS Precip Rate 14Z
    ID: RAP-CONUS-PRAT-SFC-14Z
    RAP ConUS Precip Rate 14Z
  449. RAP ConUS Precip Rate 15Z
    ID: RAP-CONUS-PRAT-SFC-15Z
    RAP ConUS Precip Rate 15Z
  450. RAP ConUS Precip Rate 16Z
    ID: RAP-CONUS-PRAT-SFC-16Z
    RAP ConUS Precip Rate 16Z
  451. RAP ConUS Precip Rate 17Z
    ID: RAP-CONUS-PRAT-SFC-17Z
    RAP ConUS Precip Rate 17Z
  452. RAP ConUS Precip Rate 18Z
    ID: RAP-CONUS-PRAT-SFC-18Z
    RAP ConUS Precip Rate 18Z
  453. RAP ConUS Precip Rate 19Z
    ID: RAP-CONUS-PRAT-SFC-19Z
    RAP ConUS Precip Rate 19Z
  454. RAP ConUS Precip Rate 20Z
    ID: RAP-CONUS-PRAT-SFC-20Z
    RAP ConUS Precip Rate 20Z
  455. RAP ConUS Precip Rate 21Z
    ID: RAP-CONUS-PRAT-SFC-21Z
    RAP ConUS Precip Rate 21Z
  456. RAP ConUS Precip Rate 22Z
    ID: RAP-CONUS-PRAT-SFC-22Z
    RAP ConUS Precip Rate 22Z
  457. RAP ConUS Precip Rate 23Z
    ID: RAP-CONUS-PRAT-SFC-23Z
    RAP ConUS Precip Rate 23Z
  458. RAP ConUS Precip Rate Latest
    ID: RAP-CONUS-PRAT-SFC
    RAP ConUS Precip Rate Latest
  459. RAP ConUS Radar 00Z
    ID: RAP-CONUS-RADAR-00Z
    View of RAP-CONUS-PRAT-SFC-00Z
  460. RAP ConUS Radar 01Z
    ID: RAP-CONUS-RADAR-01Z
    View of RAP-CONUS-PRAT-SFC-01Z
  461. RAP ConUS Radar 02Z
    ID: RAP-CONUS-RADAR-02Z
    View of RAP-CONUS-PRAT-SFC-02Z
  462. RAP ConUS Radar 03Z
    ID: RAP-CONUS-RADAR-03Z
    View of RAP-CONUS-PRAT-SFC-03Z
  463. RAP ConUS Radar 04Z
    ID: RAP-CONUS-RADAR-04Z
    View of RAP-CONUS-PRAT-SFC-04Z
  464. RAP ConUS Radar 05Z
    ID: RAP-CONUS-RADAR-05Z
    View of RAP-CONUS-PRAT-SFC-05Z
  465. RAP ConUS Radar 06Z
    ID: RAP-CONUS-RADAR-06Z
    View of RAP-CONUS-PRAT-SFC-06Z
  466. RAP ConUS Radar 07Z
    ID: RAP-CONUS-RADAR-07Z
    View of RAP-CONUS-PRAT-SFC-07Z
  467. RAP ConUS Radar 08Z
    ID: RAP-CONUS-RADAR-08Z
    View of RAP-CONUS-PRAT-SFC-08Z
  468. RAP ConUS Radar 09Z
    ID: RAP-CONUS-RADAR-09Z
    View of RAP-CONUS-PRAT-SFC-09Z
  469. RAP ConUS Radar 10Z
    ID: RAP-CONUS-RADAR-10Z
    View of RAP-CONUS-PRAT-SFC-10Z
  470. RAP ConUS Radar 11Z
    ID: RAP-CONUS-RADAR-11Z
    View of RAP-CONUS-PRAT-SFC-11Z
  471. RAP ConUS Radar 12Z
    ID: RAP-CONUS-RADAR-12Z
    View of RAP-CONUS-PRAT-SFC-12Z
  472. RAP ConUS Radar 13Z
    ID: RAP-CONUS-RADAR-13Z
    View of RAP-CONUS-PRAT-SFC-13Z
  473. RAP ConUS Radar 14Z
    ID: RAP-CONUS-RADAR-14Z
    View of RAP-CONUS-PRAT-SFC-14Z
  474. RAP ConUS Radar 15Z
    ID: RAP-CONUS-RADAR-15Z
    View of RAP-CONUS-PRAT-SFC-15Z
  475. RAP ConUS Radar 16Z
    ID: RAP-CONUS-RADAR-16Z
    View of RAP-CONUS-PRAT-SFC-16Z
  476. RAP ConUS Radar 17Z
    ID: RAP-CONUS-RADAR-17Z
    View of RAP-CONUS-PRAT-SFC-17Z
  477. RAP ConUS Radar 18Z
    ID: RAP-CONUS-RADAR-18Z
    View of RAP-CONUS-PRAT-SFC-18Z
  478. RAP ConUS Radar 19Z
    ID: RAP-CONUS-RADAR-19Z
    View of RAP-CONUS-PRAT-SFC-19Z
  479. RAP ConUS Radar 20Z
    ID: RAP-CONUS-RADAR-20Z
    View of RAP-CONUS-PRAT-SFC-20Z
  480. RAP ConUS Radar 21Z
    ID: RAP-CONUS-RADAR-21Z
    View of RAP-CONUS-PRAT-SFC-21Z
  481. RAP ConUS Radar 22Z
    ID: RAP-CONUS-RADAR-22Z
    View of RAP-CONUS-PRAT-SFC-22Z
  482. RAP ConUS Radar 23Z
    ID: RAP-CONUS-RADAR-23Z
    View of RAP-CONUS-PRAT-SFC-23Z
  483. RAP ConUS Radar Latest
    ID: RAP-CONUS-TEST-LATEST
    View of RAP-CONUS-PRAT-SFC
  484. RICKK
    ID: RICKK
    RICKK
  485. River-ICE-CONCENTRATION: Alaska
    ID: RVER-ICEC-AP
    River-ICE-CONCENTRATION: Alaska
  486. RIVER-ICE-CONCENTRATION: Missouri Basin
    ID: RVER-ICEC-MB
    River-ICE-CONCENTRATION: Missouri Basin V4.2
  487. River-ICE-CONCENTRATION: North Central Basin
    ID: RVER-ICEC-NC
    River-ICE-CONCENTRATION: North Central Basin V4.2
  488. River-ICE-CONCENTRATION: North East Basin
    ID: RVER-ICEC-NE
    River-ICE-CONCENTRATION: North East Basin V4.2
  489. River Flood: Alaska
    ID: RIVER-FLDall-AP
    River Flood: Alaska
  490. River Flood: Alaska (transparent)
    ID: RIVER-FLDtsp-AP
    River Flood: Alaska (transparent)
  491. River Flood: Global
    ID: RIVER-FLDglobal
    River Flood: Global
  492. River Flood: Global (enhanced)
    ID: RIVER-FLDglobal-enh
    View of RIVER-FLDglobal
  493. River Flood: Missouri Basin
    ID: RIVER-FLDall-MB
    River Flood: Missouri Basin
  494. River Flood: Missouri Basin (transparent)
    ID: RIVER-FLDtsp-MB
    River Flood: Missouri Basin (transparent)
  495. River Flood: North Central Basin
    ID: RIVER-FLDall-NC
    River Flood: North Central Basin
  496. River Flood: North Central Basin (transparent)
    ID: RIVER-FLDtsp-NC
    River Flood: North Central Basin (transparent)
  497. River Flood: North East Basin
    ID: RIVER-FLDall-NE
    River Flood: North East Basin
  498. River Flood: North East Basin (transparent)
    ID: RIVER-FLDtsp-NE
    River Flood: North East Basin (transparent)
  499. River Flood: North West
    ID: RIVER-FLDall-NW
    River Flood: South West
  500. River Flood: North West (transparent)
    ID: RIVER-FLDtsp-NW
    River Flood: North West (transparent)
  501. River Flood: South East
    ID: RIVER-FLDall-SE
    River Flood: South East
  502. River Flood: South East (transparent)
    ID: RIVER-FLDtsp-SE
    River Flood: South East (transparent)
  503. River Flood: South West
    ID: RIVER-FLDall-SW
    River Flood: South West
  504. River Flood: South West (tsp)
    ID: RIVER-FLDtsp-SW
    River Flood: South West (transparent)
  505. River Flood: US
    ID: RIVER-FLDall-US
    River Flood: US
  506. River Flood: US (transparent)
    ID: RIVER-FLDtsp-US
    River Flood: US (transparent)
  507. River Flood: West Gulf Basin
    ID: RIVER-FLDall-WG
    River Flood: West Gulf Basin
  508. River Flood: West Gulf Basin (transparent)
    ID: RIVER-FLDtsp-WG
    River Flood: West Gulf Basin (transparent)
  509. River Ice: Alaska
    ID: RIVER-ICE-AP
    RIVER-ICE Alaska Pacific Region
  510. River Ice: Missouri Basin
    ID: RIVER-ICE-MB
    RIVER-ICE Missouri Basin
  511. River Ice: North Central Basin
    ID: RIVER-ICE-NC
    RIVER-ICE-NC V4.2
  512. River Ice: North East Basin
    ID: RIVER-ICE-NE
    RIVER-ICE North East V4.2
  513. russd-conus
    ID: russd-conus
  514. RVER-ICEX-AP
    ID: RVER-ICEX-AP
  515. RVER-ICEX-MB
    ID: RVER-ICEX-MB
  516. RVER-ICEX-NC
    ID: RVER-ICEX-NC
  517. RVER-ICEX-NE
    ID: RVER-ICEX-NE
  518. RVER-ICEX-NW
    ID: RVER-ICEX-NW
  519. SAAWSO locations
    ID: SAAWSOsites
    SAAWSO field project sites
  520. 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.
  521. 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.
  522. 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.
  523. Sea Surface Temperature
    ID: NESDIS-SST
    NESDIS: Hi-Res Sea Surface Temperature
  524. SEDAC Population Count
    ID: gpw-v4-population-count
  525. SEDAC Population Density
    ID: gpw-v4-population-density
    gpw-v4-population-density
  526. Severe Weather Outlook Day2
    ID: SPCsvday2
    Severe Weather Outlook Day2
  527. Severe Weather Outlook Day3
    ID: SPCsvday3
    Severe Weather Outlook Day3
  528. Severe Weather Outlook Day4
    ID: SPCsvday4
    Severe Weather Outlook Day4
  529. Severe Weather Outlook Day5
    ID: SPCsvday5
    Severe Weather Outlook Day5
  530. Severe Weather Warning Outlines
    ID: SevereOutl
    Tornado, Thunderstorm, Flash Flood and Marine Warnings (outlines only, no fill)
  531. Severe Weather Warnings
    ID: Severe
    Tornado, Thunderstorm, Flash Flood and Marine Warning polygons.
  532. Severe Weather Warning Vectors
    ID: SevereVect
    Tornado and Thunderstorm Warning Vectors
  533. Severe Weather Watch Box
    ID: SAW
    Severe Weather Watch Box - Aviation
  534. Severe Wind Outlook Day1
    ID: SPCwnday1
    Severe Wind Outlook Day1 (%)
  535. Ship & Buoy
    ID: SSEC-ShipBuoy
    SSEC - ShipBuoy
  536. SIGMET Convective
    ID: SIGMET-Convective
    SIGMET-Convective
  537. SIGMET Outlook
    ID: SIGMET-Outlook
    SIGMET-Outlook
  538. SKITrails
    ID: SKITrails
    Nordic ski trail locations in Wisconsin For more info see: http://www.madnorski.org/area-trails/
  539. Snow Fall Rate
    ID: NESDIS-SnowFallRate
    AMSU Snow Fall Rate Global by NOAA-NESDIS
  540. South Pole IR Composite
    ID: SPCOMP
    South Pole IR Polar and Geostationary Composite
  541. SPC reports 12Z to 12Z
    ID: SPCREPS12Z12Z
    SPCREPS12Z12Z
  542. 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
  543. Storm Cell Id and Tracking - Track
    ID: SCIT
    Storm Cell Id and Tracking - Track
  544. Storm Relative Velocity ARX
    ID: NEXRAD-ARX-SRVEL1
    NEXRAD: Storm Relative Velocity ARX (kts)
  545. Storm Relative Velocity GRB
    ID: NEXRAD-GRB-SRVEL1
    NEXRAD Storm Relative Velocity GRB
  546. Storm Relative Velocity MKX
    ID: NEXRAD-MKX-SRVEL1
    NEXRAD: Storm Relative Velocity MKX (kts)
  547. Storm Relative Velocity site1
    ID: NEXRAD-site1-SRVEL1
    NEXRAD: Storm Relative Velocity SITE1 (kts)
  548. Storm Relative Velocity site2
    ID: NEXRAD-site2-SRVEL1
    NEXRAD: Storm Relative Velocity SITE2 (kts)
  549. Storm Relative Velocity site3
    ID: NEXRAD-site3-SRVEL1
    NEXRAD: Storm Relative Velocity SITE3 (kts)
  550. Storm Reports 3hrs
    ID: StormReports
    Storm Reports (last 3hrs)
  551. Storm Reports 24hrs
    ID: StormReports24
    Storm Reports (last 24hrs)
  552. Stroke Density XP
    ID: XLSD
    XLSD - Experimental product, Restricted to SSEC internal use only!
  553. SVRWARNS12Z12Z
    ID: SVRWARNS12Z12Z
  554. Temperature analysis
    ID: sfcTemp
    Surface Contours: Air Temperature (Regional)
  555. Temperature contours ConUS
    ID: SFCCON-T
    Surface Contours: Air Temperature (ConUS)
  556. Temperature contours Europe
    ID: SFCEURO-T
    SFCON: Surface Air Temperature (ConEU)
  557. Terminal Area Forecasts
    ID: TAF
    Terminal Aerodrome Forecast (TAF)
  558. Terra Aerosol Optical Depth
    ID: TERRA-AER
    MODIS: TERRA Aerosol Optical Depth (ta)
  559. Terra False Color
    ID: terrafalsecolor
    CIMSS-MODIS Satellite False Color (Terra)
  560. Terra Land Surface True Color
    ID: GLOBALterratc
    MODIS: Terra land Surface True Color composite
  561. Terra MODIS False Color Composites (Day)
    ID: terrafc-day
    Terra MODIS False Color Composites (Day)
  562. Terra MODIS False Color Swaths
    ID: terrafc-pass
    Terra MODIS False Color Swaths
  563. Terra MODIS Infrared Composites (Day)
    ID: terrair-day
    Terra MODIS Infrared Composites (Day)
  564. Terra MODIS Infrared Composites (Night)
    ID: terrair-night
    Terra MODIS Infrared Composites (Night)
  565. Terra MODIS Infrared Swaths
    ID: terrair-pass
    Terra MODIS Infrared Swaths
  566. Terra MODIS Near Infrared Composites (Day)
    ID: terranir-day
    Terra MODIS Near Infrared Composites (Day)
  567. Terra MODIS Near Infrared Swaths
    ID: terranir-pass
    Terra MODIS Near Infrared Swaths
  568. Terra MODIS Short Wave Infrared Composites (Day)
    ID: terraswir-day
    Terra MODIS Short Wave Infrared Composites (Day)
  569. Terra MODIS Short Wave Infrared Composites (Night)
    ID: terraswir-night
    Terra MODIS Short Wave Infrared Composites (Night)
  570. Terra MODIS Short Wave Infrared Swaths
    ID: terraswir-pass
    Terra MODIS Short Wave Infrared Swaths
  571. Terra MODIS True Color Composites (Day)
    ID: terratc-day
    Terra MODIS True Color Composites (Day)
  572. Terra MODIS True Color Swaths
    ID: terratc-pass
    Terra MODIS True Color Swaths
  573. Terra MODIS Visible Composites (Day)
    ID: terravis-day
    Terra MODIS Visible Composites (Day)
  574. Terra MODIS Visible Swaths
    ID: terravis-pass
    Terra MODIS Visible Swaths
  575. Terra MODIS Water Vapor Composites (Day)
    ID: terrawv-day
    Terra MODIS Water Vapor Composites (Day)
  576. Terra MODIS Water Vapor Composites (Night)
    ID: terrawv-night
    Terra MODIS Water Vapor Composites (Night)
  577. Terra MODIS Water Vapor Swaths
    ID: terrawv-pass
    Terra MODIS Water Vapor Swaths
  578. Terra Orbit times
    ID: POESNAV-TERRApoint
    POES Orbit Locations - Terra
  579. Terra Orbit tracks
    ID: POESNAV-TERRAtrack
    POES Orbit Tracks - Terra
  580. Terra True Color
    ID: terratruecolor
    CIMSS-MODIS Satellite True Color (Terra)
  581. test30m-flood
    ID: test30m-flood
    test30m-flood
  582. TESTGRBRADF
    ID: TESTGRBRADF
    TESTGRBRADF
  583. Thunderstorm Watches/Warnings
    ID: WWSEVTRW
    Thunderstorm Watches and Warnings
  584. Tornado Outlook Day1
    ID: SPCtnday1
    Tornado Outlook Day1 (%)
  585. Tornado Watches/Warnings
    ID: WWTORNADO
    Tornado Watches and Warnings
  586. TORPATHS
    ID: TORPATHS
  587. TORWARNS12Z12Z
    ID: TORWARNS12Z12Z
  588. Total Column Sulphur Dioxide
    ID: AURA-SO2
    AURA - OMI Total Column Sulphur Dioxide (SO2)
  589. True Color Clear View
    ID: BRDF
    MODIS Clear View ConUS Composite. BRDF (Bidirectional Reflectance Distribution Function) is a 16-day cloud-free composite.
  590. TS Cones - Atlantic and EPacific
    ID: TSCONEALL
    TS Cones - Atlantic and EPacific
  591. TS Cones - CPacific and WPacific
    ID: PNCONEALL
    TS Cones - CPacific and WPacific
  592. TS HDOB - Atlantic points
    ID: TSHDOBATLparm
    TS HDOB - Atlantic points
  593. TS HDOB - Atlantic winds
    ID: TSHDOBATL
    TS HDOB - Atlantic winds
  594. TS HDOB - EPacific points
    ID: TSHDOBEPACparm
    TS HDOB - EPacific points
  595. TS HDOB - EPacific winds
    ID: TSHDOBEPAC
    TS HDOB - EPacific winds
  596. TS Points - Atlantic and EPacific
    ID: TSPOINTALL
    TS Points - Atlantic and EPacific
  597. TS Points - CPacific and WPacific
    ID: PNPOINTALL
    TS Points - CPacific and WPacific
  598. TS Tracks - Atlantic and EPacific
    ID: TSTRACKALL
    TS Tracks - Atlantic and EPacific
  599. TS Tracks - CPacific and WPacific
    ID: PNTRACKALL
    TS Tracks - CPacific and WPacific
  600. Turbulence Advisory
    ID: AIRMET-TURB
    AIRMET-Turlulence Advisory
  601. Upper Level Divergence
    ID: div10kmrap
    NSSL: Upper Level Divergence RAP, Radar, GOES
  602. Upper Level Divergence RadSat
    ID: div10kmsatradar
    NSSL: Upper Level Divergence RAP, Radar, GOES
  603. Urban Land Cover Sites
    ID: CapStone-sites
    Zach Olson"s GIS-Certificate Program capstone project.
  604. UWIREMIS locations
    ID: UWIREMISsites
    UWIREMIS download sites
  605. Vegetation Index
    ID: conusndvi
    NSSL Normalized Difference Vegetation Index
  606. VIIRS Aerosol Optical Depth
    ID: VIIRS-AOD
    VIIRS Aerosol Optical Depth
  607. VIIRS Cloud Optical Thickness
    ID: VIIRS-COT
    VIIRS Cloud Optical Thickness
  608. VIIRS Satellite Detected Fire Locations
    ID: VIIRS-Fire
    VIIRS Satellite Detected Fire Locations
  609. VIIRS True Color
    ID: VIIRS-TC
    VIIRS True Color
  610. Vis Winds 800-700mb
    ID: AMV-VISmid
    AMV: Middle Level Visible (700-800mb)
  611. Vis Winds 925-801mb
    ID: AMV-VISlow
    AMV: Lower Level Visible (801-925mb)
  612. Volcanic Ash Advisory
    ID: Volcano
    Volcanic Ash Advisories: Source Volcano
  613. Volcanic Ash Adv plumes
    ID: VAA
    Volcanic Ash Advisories: Ash Clouds
  614. WFABBA-MASK
    ID: WFABBA-MASK
    WFABBA-MASK
  615. 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.
  616. WI Coastal Shaded Relief
    ID: WIcoastalshdrlf
    WI coastal shaded relief map generated from LiDAR data.
  617. WI Coastal Shaded Relief - Gray
    ID: WIcoastalshdrlf-gray
    WI coastal shaded relief map generated from LiDAR data.
  618. 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).
  619. 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.
  620. Winter Road Conditions
    ID: ROADS
    Northern Tier Winter Road Conditions (WRC) decoded from state DOT text.
  621. 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.
  622. 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.
  623. Wisconsin Counties
    ID: wi-counties-basic
  624. 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).
  625. 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.
  626. World Airports
    ID: Airports
    Location of Airports