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Uncertainty Quantification Of Satellite Precipitation Estimation And Monte Carlo Assessment Of The Error Propagation Into Hydrologic Response, Hamid Moradkhani, Yang Hong, Soroosh Sorooshian Aug 2006

Uncertainty Quantification Of Satellite Precipitation Estimation And Monte Carlo Assessment Of The Error Propagation Into Hydrologic Response, Hamid Moradkhani, Yang Hong, Soroosh Sorooshian

Civil and Environmental Engineering Faculty Publications and Presentations

The aim of this paper is to foster the development of an end-to-end uncertainty analysis framework that can quantify satellite-based precipitation estimation error characteristics and to assess the influence of the error propagation into hydrological simulation. First, the error associated with the satellite-based precipitation estimates is assumed as a nonlinear function of rainfall space-time integration scale, rain intensity, and sampling frequency. Parameters of this function are determined by using high-resolution satellite-based precipitation estimates and gauge-corrected radar rainfall data over the southwestern United States. Parameter sensitivity analysis at 16 selected 5ø ? 5ø latitude-longitude grids shows about 12?16% of variance of ...