HR: 08:15h
AN: H11H-02    [Abstracts]
TI: Streamflow Predictions using GOES Solar Radiation Based Evapotranspiration in the Sacramento Soil Moisture Accounting Model
AU: * Jacobs, J
EM: jennifer.jacobs@unh.edu
AF: Department of Civil Engineering, 240 Gregg Hall University of New Hampshire, Durham, NH 03824
AU: Lowry, B
EM: blowry@cisunix.unh.edu
AF: Department of Earth Sciences, 230 Gregg Hall University of New Hampshire, Durham, NH 03824
AU: Bolster, C
EM: cbolster@msa-stoneville.ars.usda.gov
AF: USDA-Agricultural Research Service, 230 Bennett Lane, Bowling Green, KY 42104
AU: Duan, Q
EM: qduan@llnl.gov
AF: Lawrence Livermore National Laboratory, 7000 East Ave., Livermore, CA 94550
AB: The National Weather Service River Forecast System (NWSRFS) uses the Sacramento Soil Moisture Accounting (SAC-SMA) model to generate river and flood forecasts across the U.S. One of the required inputs needed to run SAC-SMA is potential evapotranspiration (PET), which the NWSRFS computes using the Penman combination equation in the Synoptic Data Transfer (SYNTRAN) utility program. Of the hydrometeorologic forcing data required to compute PET, incoming solar radiation data availability is the greatest challenge for operational hydrologic applications. Total sky cover observations, which SYNTRAN uses to estimate incoming solar radiation, have been phased out of existence with the implementation of the Automated Surface Observation System (ASOS). Therefore, NWS needs to find solar radiation data sets to replace the SYNTRAN solar radiation data without diminishing SAC-SMA model accuracy during streamflow simulations. We use Geostationary Operational Environmental Satellite (GOES) gridded solar radiation and meteorological forcing data from the Distributed Model Intercomparison Project (DMIP) test basins to calculate the PET estimates needed to simulate streamflow with the SAC-SMA model. Resultant daily streamflow predictions are compared with observed streamflow data.
DE: 1800 HYDROLOGY
DE: 1818 Evapotranspiration
DE: 1860 Runoff and streamflow
SC: Hydrology [H]
MN: 2004 AGU Fall Meeting