Mass-Conserving Remapping of Radar Data onto Two-Dimensional Cartesian Coordinates for Hydrologic Applications

作者: Hatim O. Sharif , Fred L. Ogden

DOI: 10.1175/JHM-D-14-0058.1

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摘要: AbstractRecent upgrades to operational radar-rainfall products in terms of quality and resolution call for reexamination the factors that contribute uncertainty estimation. Remapping or regridding radar observations onto Cartesian coordinates is implemented by practitioners when estimates are compared against rain gauge observations, hydrologic applications, merging data from different radars. However, assuming perfect many widely used remapping methodologies do not conserve mass rainfall rate field. The most popular approaches those based on extracting information bins whose centers fall within a certain distance center grid. This paper develops mass-conserving method remapping, which called “precise remapping,” two other commonly methods. Results show choice can make substantial diffe...

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