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    The use of personal weather station observations to improve precipitation estimation and interpolation
    (2021) Bárdossy, András; Seidel, Jochen; El Hachem, Abbas
    In this study, the applicability of data from private weather stations (PWS) for precipitation interpolation was investigated. Due to unknown errors and biases in these observations, a two-step filter was developed that uses indicator correlations and event-based spatial precipitation patterns. The procedure was tested and cross validated for the state of Baden-Württemberg (Germany). The biggest improvement is achieved for the shortest time aggregations.