HR: 17:00h
AN: H54A-03    [Abstracts]
TI: Land Surface Modeling and Satellite Passive Microwave Imagery: a Comparison of Top Soil Moisture and Surface Temperature Estimates
AU: * Gouweleeuw, B
EM: bingo@hsb.gsfc.nasa.gov
AF: NASA/GSFC, Mail Code 614.3, Greenbelt, MD 20771, United States
AU: Owe, M
EM: manfred.owe@nasa.gov
AF: NASA/GSFC, Mail Code 614.3, Greenbelt, MD 20771, United States
AB: Improved accuracy in defining initial conditions for fully-coupled numerical weather prediction models (NWP) along with continuous internal bias corrections for baseline data generated by uncoupled Land Surface Models (LSMs) is expected to lead to improved short-term to long-range weather forecasting capability. Because land surface parameters are highly integrated states, errors in land surface forcing, model physics and parameterization tend to accumulate in the land surface stores of these models, such as soil moisture and surface temperature. This has a direct effect on the model's water and energy balance calculations, and will eventually result in inaccurate weather predictions. For the regional subset of Oklahoma, USA, surface soil moisture and surface temperature estimates obtained with a recently improved retrieval algorithm from the Advanced Microwave Scanner Radiometer (AMSR) aboard NASA's Earth Observing System (EOS) Aqua satellite are evaluated against model output of the Community Noah Land Surface Model and Community Land Model (CLM2) operated within the Land Information System (LIS) forced with atmospheric data of a variety of sources, i.e. the NCEP Global Data Assimilation System (GDAS), the European Centre of Medium Range Weather Forecast (ECMWF) and the North American Data Assimilation System (NLDAS). The surface temperature retrievals and LSM output are further evaluated against local measurements from the Mesonet observational grid in Oklahoma.
DE: 1840 Hydrometeorology
DE: 1843 Land/atmosphere interactions (1218, 1631, 3322)
DE: 1855 Remote sensing (1640)
DE: 1866 Soil moisture
SC: Hydrology [H]
MN: 2007 Joint Assembly