Articles | Volume 25, issue 2
Research article
10 Feb 2021
Research article |  | 10 Feb 2021

The use of personal weather station observations to improve precipitation estimation and interpolation

András Bárdossy, Jochen Seidel, and Abbas El Hachem

Data sets

Index of /climate_environment/CDC/ DWD

Model code and software

PWS quality control filter algorithm A. El Hachem

Short summary
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.