HR: 1340h
AN: H33A-0977    [Abstracts]
TI: Can we Use Satellite-Rainfall to Predict Floods in Small Mountainous Basins?
AU: Nikolopoulos, E
EM: ein06002@engr.uconn.edu
AF: University of Connecticut, Civil and Environmental Engineering, Unit 2037, Storrs, CT 06269, United States
AU: * Anagnostou, E
EM: manos@engr.uconn.edu
AF: University of Connecticut, Civil and Environmental Engineering, Unit 2037, Storrs, CT 06269, United States
AU: Gebremichael, M
EM: mekonnen@engr.uconn.edu
AF: University of Connecticut, Civil and Environmental Engineering, Unit 2037, Storrs, CT 06269, United States
AU: Vivoni, E
EM: vivoni@nmt.edu
AF: New Mexico Institute of Mining and Technology, Department of Earth and Environmental Science, Socorro, NM 87801, United States
AB: One of the main advantages of satellite precipitation remote sensing is their ability to provide information over remote areas such as complex terrain and tropical rainforests where few, or no, in-situ observations are available. This study focuses on a well-instrumented small-scale mountainous basin (~116 km2) in the Northeastern Italy aiming at i) evaluating two different satellite-rainfall products (TRMM 3B42 and CMORPH), through a comparison with rain gauge observations and ii) investigating whether rainfall retrievals from satellites can be utilized to predict flood occurrences in such complex terrain basins. The error of the satellite-rainfall estimates is statistically characterized and its propagation effect to the hydrologic prediction is evaluated by using a distributed hydrologic model to simulate the rainfall-runoff transformation and compare the results with discharge observations.
DE: 1843 Land/atmosphere interactions (1218, 1631, 3322)
DE: 1847 Modeling
DE: 1854 Precipitation (3354)
DE: 1855 Remote sensing (1640)
DE: 1866 Soil moisture
SC: Hydrology [H]
MN: 2007 Fall Meeting