What is it about?

Several rainfall datasets exist for Germany and each of them has different strengths and weaknesses. This Paper and the accompanying inter-comparison dataset help to assess the data quality of two freely available weather radar datasets and a rain gauge dataset for Germany.

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Why is it important?

For many hydrological applications, rain gauge data are used. However, these are point information, which do not provide an exhaustive nationwide coverage. Thus, they may not detect small-scale thunderstorm cells causing flash floods and severe damages. German weather radar datasets provide spatially (1 km * 1 km) and temporally (up to 5 minutes) highly resolved nationwide precipitation data. However, these indirect measurements may suffer from several uncertainties leading to a spatially and temporally varying over- or underestimation of rainfall. This paper and dataset aim to help to identify the rainfall dataset that is best suited for the individual application, study area and time period.

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This page is a summary of: A Rainfall Data Intercomparison Dataset of RADKLIM, RADOLAN, and Rain Gauge Data for Germany, Data, August 2019, MDPI AG,
DOI: 10.3390/data4030118.
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