HR: 0800h
AN: C31A-0295    [Abstracts]
TI: Evaluation of the NOAA/NWS National Snow Analyses Snow Model
AU: * Li, L
EM: long.li@noaa.gov
AF: National Operational Hydrologic Remote Sensing Center, National Weather Service, NOAA, 1735, Lake Drive West, Chanhassen, MN 55317 United States
AU: Cline, D W
EM: donald.cline@noaa.gov
AF: National Operational Hydrologic Remote Sensing Center, National Weather Service, NOAA, 1735, Lake Drive West, Chanhassen, MN 55317 United States
AU: Rutter, N
EM: nick.rutter@noaa.gov
AF: National Operational Hydrologic Remote Sensing Center, National Weather Service, NOAA, 1735, Lake Drive West, Chanhassen, MN 55317 United States
AU: Fall, G
EM: gregory.fall@noaa.gov
AF: National Operational Hydrologic Remote Sensing Center, National Weather Service, NOAA, 1735, Lake Drive West, Chanhassen, MN 55317 United States
AB: The National Operational Hydrologic Remote Sensing Center (NOHRSC) of NOAA's National Weather Service has developed and operates a high-resolution (1-km2) multi-layer energy- and mass-balance model for snow and soil to estimate snow pack properties throughout the coterminous U.S. (CONUS) in support of operational hydrologic forecasting. In its operational mode, the spatially distributed model is run hourly on a 1-km grid, and all available in situ observations of snow water equivalent and snow depth and satellite-derived snow cover are assimilated daily into the model. To examine the physical performance of the model, it was run in a 1-D mode for the 2002-2003 accumulation and ablation season at five micrometeorological stations established for the NASA Cold Land Processes Experiment (CLPX). Forcing data sets from these stations were used to drive the 1-D model. The output was compared to data from snow pits collected approximately once per month at each site and additional hourly data sets from the met stations. A second 1-D model, SNTHERM, was also run at each site to provide comparative and diagnostic information. Comparison of the NSA model to empirical snow pit data generally shows good monthly-seasonal agreement in snow water equivalent (SWE) and snow depth at each site. This poster focuses on evaluation of major components of the model (albedo, surface temperature, vertical temperature profile, and energy fluxes) by comparison to additional empirical data collected at the met stations and to the SNTHERM model.
UR: http://www.nohrsc.nws.gov
DE: 1833 Hydroclimatology
DE: 1860 Runoff and streamflow
DE: 1863 Snow and ice (1827)
DE: 1866 Soil moisture
DE: 1884 Water supply
SC: Cryosphere [C]
MN: 2004 AGU Fall Meeting