Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 26, issue 10
Articles | Volume 26, issue 10
https://doi.org/10.5194/hess-26-2797-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-2797-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
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

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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.
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