Forecast Time Series for Selected Sites
North America Forecast Assimilating MODIS Direct Broadcast Data
North America CRAS Forecast in grib2 format
The purpose of the CRAS is to test the use of satellite observations
in a numerical prediction model. The quality of a numerical forecast
depends on having accurate observations of the environment to define the
forecast model's initial state. Here is a list of the observations that are
currently used in the CRAS 12-hour spinnup forecast:
3-layer precipitable water (mm) from the GOES-10/12 sounders
Cloud-top pressure (hPa) and effective cloud amount (%) from the GOES-10/12 sounders
4-layer thickness (m) from the GOES-10/12 sounders
Cloud-top pressure (hPa) from MODIS
Gridded hourly precipitation amounts from NCEP
Cloud-track and water vapor winds (m/s) from the GOES-10/12 imagers
Cloud-top pressure (hPa) and effective cloud amount (%) from the GOES-12 imager
Surface temperature (C), dew points (C) and winds (m/s)
Sea surface temperature (C) and sea ice coverage (%) from NCEP rtg analysis
60-hour Simulation of the Edmund Fitzgerald Storm
Numerical Weather Prediction Concepts
Satellite Data Assimilation Project
Land Surface Energy/Water Budget Studies
Nowcasting Analysis Project using the GOES sounder
Publications referring to CRAS