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• W2517362775 abstract "Historically, rainfall data for hydrologic applications have been obtained from a sparse network of rain gauges. A gauge samples rain at distinct points and therefore may not accurately reflect the spatial distribution of rainfall, especially from convective storms. Interest in using radar estimates of rainfall in distributed modeling comes from the desire to reduce errors due to imprecise knowledge of rainfall distribution in time and space. Traditionally, point estimates of rain gauge accumulations are distributed in space over the river basin by some means, such as Thiessen polygon, inverse distance weighting, and kriging. This chapter treats the topic of using radar and rain gauge networks to measure spatially distributed precipitation." @default.
• W2517362775 created "2016-09-16" @default.
• W2517362775 creator A5044715424 @default.
• W2517362775 date "2016-01-01" @default.
• W2517362775 modified "2023-09-27" @default.
• W2517362775 title "Distributed Precipitation Estimation" @default.
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• W2517362775 doi "https://doi.org/10.1007/978-94-024-0930-7_8" @default.
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