HR: 0800h
AN: GC41A-0379    [Abstracts]
TI: Satellite-based multi-year high-resolution precipitation analysis with potential use for hydrometeorological modeling
AU: Sorooshian, S
EM: soroosh@uci.edu
AF: University of California, Irvine, Center for Hydrometeorology and Remote Sensing Department of Civil and Environmental Engineering University of California at Irvine, Irvine, CA 92697 United States
AU: Hsu, K
EM: kuolinh@uci.edu
AF: University of California, Irvine, Center for Hydrometeorology and Remote Sensing Department of Civil and Environmental Engineering University of California at Irvine, Irvine, CA 92697 United States
AU: * Hong, Y
EM: yanghong@uci.edu
AF: University of California, Irvine, Center for Hydrometeorology and Remote Sensing Department of Civil and Environmental Engineering University of California at Irvine, Irvine, CA 92697 United States
AU: * Hong, Y
EM: yanghong@uci.edu
AF: NASA/GSFC, Laboratory for Atmospheres, NASA Goddard Space Flight Center, Greenbelt, MD 20771 United States
AU: Braithwaite, D
EM: dan@uci.edu
AF: University of California, Irvine, Center for Hydrometeorology and Remote Sensing Department of Civil and Environmental Engineering University of California at Irvine, Irvine, CA 92697 United States
AB: A new high-resolution precipitation estimation algorithm dubbed "PERSIANN-CCS'' (Precipitation Estimation form Remotely Sensed Information using Artificial Neural Network--Cloud Classification System) at UC Irvine, with the goal to produce data at spatio-temporal resolution (reaching 4km grid and 30-min) suitable for hydrological research and applications. The PERSIANN-CCS estimates are validated with NWS WSR-88D Radar data and NOAA CPC gauge observations over US and Mexico continent, respectively. The analyses are also compared with high quality gauge rainfall from Northwest Mexico North American Monsoon Experiment (NAME) Event Raingage Network. In addition, the diurnal variability of rainfall from satellite, gauge, and radar rainfall are cross-investigated. The extensive verification results show that PERSIANN-CCS is capable of providing research quality precipitation analysis suitable for hydrometeorological modeling. Multi-year products, covering the region of NAME (10°N-50°N and 135°W-65°W), are available back to March 1, 2000 and current updates are archived routinely. Since September 2004, this operational system (http://hydis8.eng.uci.edu/CCS/) has been running in real-time and the development of global version of this analysis is ongoing.
DE: 1821 Floods
DE: 1854 Precipitation (3354)
DE: 1860 Streamflow
DE: 3354 Precipitation (1854)
DE: 3360 Remote sensing
SC: Global Climate Change [GC]
MN: Fall Meeting 2005