Articles | Volume 26, issue 10
Research article
01 Jun 2022
Research article |  | 01 Jun 2022

Performance-based comparison of regionalization methods to improve the at-site estimates of daily precipitation

Abubakar Haruna, Juliette Blanchet, and Anne-Catherine Favre

Data sets

Climate Data Center - Climate observations in Germany DWD

Regions and Tourism Federal Ministry for Agriculture

Short summary
Reliable prediction of floods depends on the quality of the input data such as precipitation. However, estimation of precipitation from the local measurements is known to be difficult, especially for extremes. Regionalization improves the estimates by increasing the quantity of data available for estimation. Here, we compare three regionalization methods based on their robustness and reliability. We apply the comparison to a dense network of daily stations within and outside Switzerland.