HR: 1340h
AN: H13H-1406    [Abstracts]
TI: Hydrologic Modeling on a 4km Grid over the Conterminous United States (CONUS)
AU: * Moreda, F
EM: fekadu.moreda@noaa.gov
AF: Hydrology Laboratory, Office of Hydrologic Development, National Weather Service, NOAA, 1325 East-west Highway, Silver Spring, MD 20906 United States
AU: Koren, V
EM: victor.koren@noaa.gov
AF: Hydrology Laboratory, Office of Hydrologic Development, National Weather Service, NOAA, 1325 East-west Highway, Silver Spring, MD 20906 United States
AU: Cui, Z
EM: Zhengtao.cui@noaa.gov
AF: Hydrology Laboratory, Office of Hydrologic Development, National Weather Service, NOAA, 1325 East-west Highway, Silver Spring, MD 20906 United States
AU: Reed, S
EM: seann.reed@noaa.gov
AF: Hydrology Laboratory, Office of Hydrologic Development, National Weather Service, NOAA, 1325 East-west Highway, Silver Spring, MD 20906 United States
AU: Zhang, Z
EM: ziya.zhang@noaa.gov
AF: Hydrology Laboratory, Office of Hydrologic Development, National Weather Service, NOAA, 1325 East-west Highway, Silver Spring, MD 20906 United States
AU: Smith, M
EM: Michael.Smith@noaa.gov
AF: Hydrology Laboratory, Office of Hydrologic Development, National Weather Service, NOAA, 1325 East-west Highway, Silver Spring, MD 20906 United States
AB: The Hydrology Laboratory (HL) of the NOAA/National Weather Service's Office of Hydrologic Development (OHD) is developing advanced water resources products to meet the expanding demands of the public. Recently, the HL distributed modeling research program embarked on an exciting new development for large-scale, fine-resolution soil moisture modeling. We expect this work to provide important contributions to meet the Nation's need for water resources information such as drought. In the present work, the Sacramento Soil Moisture Accounting (SAC-SMA) model is reformulated to compute physically-based estimates of soil moisture using the equations of heat transfer and a soil column representation of SAC water storage and movement. This modified SAC-SMA now runs within the HL distributed model, with the capability to generate estimates of physically-based soil moisture content at the 4 km grid scale over CONUS. In addition, we have added the NWS operational temperature index-based snow model (SNOW-17) to run on a 4 km grid. We expect that these new capabilities will help produce detailed soil moisture fields which will benefit flash flood forecasting as well as water resource management applications. In this paper, we present the first results of the new distributed SAC-SMA and SNOW-17 models over the CONUS area. Distinctive characteristics of our CONUS runs are: (a) distributed SNOW-17 model parameters are estimated from physical factors (b) NWS-gridded monthly potential evaporation products are used, (c) the forcings are the Stage IV multi-sensor precipitation mosaicked NEXRAD products. To evaluate the results, we compare our CONUS soil moisture estimates to those from the 12 km products from the North American Land Data Assimilation System (NLDAS), and to the Oklahoma Mesonet soil moisture data for regional verification.
DE: 1805 Computational hydrology
DE: 1816 Estimation and forecasting
DE: 1855 Remote sensing (1640)
DE: 1878 Water/energy interactions (0495)
DE: 1879 Watershed
SC: Hydrology [H]
MN: Fall Meeting 2005