Uncertainty quantification of satellite precipitation estimation and Monte Carlo assessment of the error propagation into hydrologic response
Author:
Affiliation:
1. Center for Hydrometeorology and Remote Sensing, Department of Civil and Environmental Engineering; University of California; Irvine California USA
Publisher
American Geophysical Union (AGU)
Subject
Water Science and Technology
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1029/2005WR004398/fullpdf
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3. GOES Multispectral Rainfall Algorithm (GMSRA);Ba;J. Appl. Meteorol.,2001
4. Rainfall estimation from a combination of TRMM precipitation radar and GOES multispectral satellite imagery through the use of an artificial neural network;Bellerby;J. Appl. Meteorol.,2000
5. Toward improved calibration of hydrological models: Combining the strengths of manual and automatic methods;Boyle;Water Resour. Res.,2000
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