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Using GOES-R to Derive Land Surface Characteristics

Using GOES-R to Derive Land Surface Characteristics. Dan Tarpley, Andrew Heidinger, Istvan Laszlo, Peter Romanov, Ken Knapp NOAA/NESDIS/Office of Research and Applications.

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Using GOES-R to Derive Land Surface Characteristics

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  1. Using GOES-R to Derive Land Surface Characteristics Dan Tarpley, Andrew Heidinger, Istvan Laszlo, Peter Romanov, Ken Knapp NOAA/NESDIS/Office of Research and Applications • Since 1995, land surface temperature and surface insolation have been produced from the GOES imager and used in the NCEP LDAS. • Current resolution is 50 km over CONUS, next phase under development will deliver products with a resolution of 12 km over full-disk • NCEP currently runs the Eta surface model at 12 km. • In 5 years, the Eta model will be running at 4 km (Ken Mitchell, EMC) • During GOES-R, the resolution may be 1 km.

  2. Currently, GOES imager data provides needed information to land data assimilation systems on the radiative surface fluxes such as surface temperature and insolation (shown below) During GOES-R, this data will likely be used in coupled and uncoupled atmospheric and surface assimilation schemes.

  3. GOES-R will likely need to provide hydrologic parameters with increasing spatial and temporal resolution. Shown below is a GOES-8 derived daily snow map with surface snow reports over-laid. Hourly snow cover and precipitation information may be needed.

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