HR: 0800h
AN: GC41A-0382    [Abstracts]
TI: Precipitation estimation for a small-scale river basin using cloud-resolving scale model
AU: * Li, J
EM: Jialunl@uci.edu
AU: Sorooshian, S
EM: soroosh@uci.edu
AU: Gao, X
EM: gaox@uci.edu
AB: More than 5-year's hydrometeorological fields of the upper Rio Grande River basin were downscaled to 4-kilometers by using a regional model (MM5 ) and NCEP/NCAR reanalysis data. Then, some of the downscaled fields especially precipitation were analyzed and compared with observations and analysis data. Because of complex terrain, precipitation has the feature of strong localization. The amount and spatial distribution of different precipitation sources are diverse. In comparison with three types of "observed" ± precipitation (NCEP gridded Gauge, satellite retrieved precipitation, and Stage IV), the model results are relatively close to NCEP gridded gauge data in amount and spatial patterns. The model also can reproduce the time evolution in comparison with observations. However, model results underrepresented in summer precipitation and overestimated in the other seasons in general. There is high frequency that model misrepresent heavy precipitation events for the model setup using in this manuscript. The precipitation also did not match very well between station gauge data and the model grid output closest to the station.
DE: 1655 Water cycles (1836)
DE: 1833 Hydroclimatology
DE: 1854 Precipitation (3354)
DE: 1879 Watershed
SC: Global Climate Change [GC]
MN: Fall Meeting 2005