IEEE Geoscience and Remote Sensing Magazine - March 2013 - 65
Table 1. PRODUCT SUITE PROVIDED TO END USERS.
INSTRUMENT/PRODUCT
FORECAST PROBLEM
MODIS (Terra and Aqua)
Imagery (visible, 3.9, 6.7, 11 µm)
Improve situational awareness
Suite of RGB products (true, false color snow, air mass, night
and day-time microphysics, dust)
Cloud structure, obstructions to visibility, extent of snow cover
Fog/low cloud (11-3.9 µm)
Improve situational awareness
Land and sea surface temperature (LST, SST)
Surface forcing for clouds and convection
SST and ice mask (Great Lakes and Arctic Ocean)
Coastal processes, lake effect precipitation
NDVI/green vegetation (GVF)
Model initiation/improved forecasts
AMSR-E (Aqua) / AMSR2 (GCOM)
Rain rate, cloud water
Coastal weather, data in void regions
SST
Coastal weather
Total Lightning Data (Ground-Based)
Source/flash density
Severe weather, lightning safety
Combined Instrument Products
Multi-sensor SST composite
Short-term weather forecasts
Blended TPW
Moisture mapping, atmospheric rivers, precipitation
HMS/FIRMS fire/burn area
Smoke, reduced visibility, localized flooding
GOES
NESDIS aviation products
Improve situational awareness
Sounder air mass RGB
Storm dynamics, improved situational awareness
GOES-R Proxy Products
Pseudo GLM product suite
Severe weather, lightning safety
GOES-MODIS hybrid imagery (visible, 3.9, 6.7, 11 µm)
Improved situational awareness
Hybrid RGB suite
Improved situational awareness
Quantitative precipitation estimates (QPE)
Precipitation mapping
Convective initiation (CI) product
Convection, precipitation mapping
JPSS Proxy Products
VIIRS imagery (visible, 3.9, 11 µm)
Improved situational awareness
Suite of VIIRS RGB products (true, air mass (w/CrIS), night
and day-time microphysics, dust)
Cloud structure, obstructions to visibility, storm dynamics
VIIRS DNB (low light)-Radiance, reflectance, RGB
Improved situational awareness
SEVIRI
RGB products (air mass, dust, Saharan air layer)
Tropical storm forecasting, storm dynamics
Passive Microwave
TMI (TRMM) 37(V/H), 85(V/H), composite
Precipitation monitoring, storm dynamics
SSMI(S) 37(V/H), 85(V/H), 91(V)
Precipitation monitoring, storm dynamics
SSMI(S) RGBs-37/85, 37PCT
Precipitation monitoring, storm dynamics
MISCELLANEOUS
Land information system (LIS)-Soil moisture
Convective initiation, drought monitoring, flooding
WindSat-Ocean surface wind vectors (OSWV)
Improved situational awareness over oceans
OMI
NESDIS SO2
Volcanic ash monitoring
AIRS
Carbon monoxide, Ozone imagery
programs. Through the transition and use of data that
simulate observing capabilities of instruments on these
future observing systems, SPoRT is helping prepare and
train forecasters for the use of these next generation capabilities. SPoRT has been participating in NOAA's JPSS and
GOES-R Proving Ground activities for the last several years
by working with its collaborative development partners (at
the NOAA Cooperative Institute for Mesoscale Satellite
Studies, CIMSS, and the Cooperative Institute for Research
march 2013
ieee Geoscience and remote sensing magazine
Fires, air quality, storm dynamics
in the Atmosphere, CIRA) to transition these unique capabilities to operational end users. Eight of SPoRT's collaborative WFO and all five of the collaborating National
Centers receive and evaluate the utility of proxy products
in their forecast operations. These products are listed in
Table 1 under the GOES-R and JPSS proxy products section. SPoRT uses high resolution MODIS and Visible
Infrared Imaging Radiometer Suite (VIIRS) on the Suomi
National Polar-orbiting Partnership (NPP) satellite data to
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