Original paper
Bias adjustment of satellite rainfall data through stochastic modeling: Methods development and application to Nepal
Abstract
Estimating precipitation over large spatial areas remains a challenging problem for hydrologists. Sparse ground-based gauge networks do not provide a robust basis for interpolation, and the reliability of remote sensing products, although improving, is still imperfect. Current techniques to estimate precipitation rely on combining these different kinds of measurements to correct the bias in the satellite observations. We propose a novel...
Paper Details
Title
Bias adjustment of satellite rainfall data through stochastic modeling: Methods development and application to Nepal
Published Date
Oct 1, 2013
Journal
Volume
60
Pages
121 - 134
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Notes
History