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

Bárdossy, András; Seidel, Jochen; El Hachem, Abbas

doi:https://doi.org/10.5194/hess-25-583-2021

Articles | Volume 25, issue 2

https://doi.org/10.5194/hess-25-583-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-25-583-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

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 https://opendata.dwd.de/climate_environment/CDC

Model code and software

PWS quality control filter algorithm A. El Hachem https://doi.org/10.5281/zenodo.4501920

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.