HR: 1330h
AN: H23B-09    [Abstracts]
TI: A Hybrid Surface Energy Balance Approach for Large Scale Evapotranspiration Estimation and Prediction in Agricultural Areas
AU: * Neale, C M
EM: cneale@cc.usu.edu
AF: Dept. of Biological and Irrigation Engineering, Utah State University, Logan, UT 84322-4105 United States
AU: Vinukollu, R K
EM: vinukollu@cc.usu.edu
AF: Dept. of Biological and Irrigation Engineering, Utah State University, Logan, UT 84322-4105 United States
AU: Chavez, J L
EM: jlchavez@cc.usu.edu
AF: Dept. of Biological and Irrigation Engineering, Utah State University, Logan, UT 84322-4105 United States
AB: Over the last few years, several surface energy balance methods for the estimation of latent heat fluxes from remotely sensed satellite imagery have been introduced and/or refined. These models have shown the ability of obtaining seasonal spatially distributed evapotranspiration fluxes at various scales and over large areas. In the arid western United States, water managers are challenged in balancing the high consumptive use of irrigated agriculture with competing urban and ecological uses of fresh water. Water managers from Irrigation Districts and Federal Agencies such as the US Bureau of Reclamation have a need for improved operational tools for the prediction of evapotranspiration and irrigation water demand on a five to ten day timeframe. The paper will present a hybrid model that couples the surface energy balance approach with a simple empirical reflectance-based crop coefficient model, for estimation and prediction of evapotranspiration over large agricultural areas. The model is applied to a rain-fed intensively cultivated agricultural area, close to Ames, Iowa during the summer of 2002. The satellite, airborne and ground fluxes were collected during the SMACEX 02 experiment. The model is run in both simulation and prediction mode and the derived latent heat fluxes are compared spatially and temporally to aircraft derived fluxes from the USU airborne system and ground measured fluxes at thirteen eddy covariance stations, using appropriate upwind footprint source area functions.
DE: 1818 Evapotranspiration
DE: 1833 Hydroclimatology
DE: 1836 Hydrologic budget (1655)
SC: Hydrology [H]
MN: 2005 Joint Assembly