Empirically-based modeling of spatial sampling uncertainties associated with rainfall measurements by rain gauges |
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| Authors: | Gabriele Villarini Witold F Krajewski |
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| Institution: | IIHR-Hydroscience and Engineering, The University of Iowa, 300 South Riverside Drive, Iowa City, IA 52242, USA |
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| Abstract: | In the quantitative evaluation of radar-rainfall products (maps), rain gauge data are generally used as a good approximation of the true ground rainfall. However, rain gauges provide accurate measurements for a specific location, while radar estimates represent areal averages. Because these sampling discrepancies could introduce noise into the comparisons between these two sensors, they need to be accounted for. In this study, the spatial sampling error is defined as the ratio between the measurements by a single rain gauge and the true areal rainfall, defined as the value obtained by averaging the measurements by an adequate number of gauges within a pixel. Using a non-parametric scheme, the authors characterize its full statistical distribution for several spatial (4, 16 and 36 km2) and temporal (15 min and hourly) scales. |
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| Keywords: | Sampling error Rainfall Modeling of uncertainties |
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