HR: 08:45h
AN: H11A-04    [PDF]
TI: Calibration and application of a distributed land surface model for a semi-arid basin using remotely sensed data
AU: * Yatheendradas, S
EM: soni@hwr.arizona.edu
AF: Department of Hydrology and Water Resources, University of Arizona, Tucson, AZ 85721 United States
AU: Bastidas, L
EM: luis.bastidas@usu.edu
AF: Department of Civil and Environmental Engineering, Utah State University, Logan, UT 84322 United States
AU: Gupta, H
EM: hoshin@hwr.arizona.edu
AF: Department of Hydrology and Water Resources, University of Arizona, Tucson, AZ 85721 United States
AU: Sorooshian, S
EM: soroosh@hwr.arizona.edu
AF: Department of Hydrology and Water Resources, University of Arizona, Tucson, AZ 85721 United States
AU: Sorooshian, S
EM: soroosh@hwr.arizona.edu
AF: Department of Civil and Environmental Engineering, University of California at Irvine, Irvine, CA 92697 United States
AB: A meso-scale medium-resolution land surface model using the NCEP's NOAH code has been setup over the San Pedro basin in Arizona. The model is driven using the 50-year hydrologically balanced land surface data set developed at the University of Washington. To explore the sensitivity of simulation results and model performance to the introduction of remote sensing information, the observed forcings of precipitation and radiation in this dataset were replaced with the remotely sensed forcings of The University of Arizona's PERSIANN (Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks) data and The University of Maryland's SRB (Surface Radiation Budget) data in stages. The model was calibrated for each of the vegetation types present in the basin to ground observations of the turbulent heat fluxes and ground temperatures using a multi-criteria calibration technique. The sensitivity of the model to vegetation classification and model resolution were also investigated.
DE: 1640 Remote sensing
DE: 1833 Hydroclimatology
SC: Hydrology [H]
MN: 2003 Fall Meeting