Estimation of radar-based area–depth–duration–frequency curves with special focus on spatial sampling problems

Goshtasbpour, Golbarg; Haberlandt, Uwe

doi:https://doi.org/10.5194/hess-29-3917-2025

Articles | Volume 29, issue 16

https://doi.org/10.5194/hess-29-3917-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-29-3917-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 29, issue 16

Research article

|

25 Aug 2025

Research article |

| 25 Aug 2025

Estimation of radar-based area–depth–duration–frequency curves with special focus on spatial sampling problems

Golbarg Goshtasbpour and Uwe Haberlandt

Data sets

Index of /climate_environment/CDC/ Deutscher Wetterdienst https://opendata.dwd.de/climate_environment/CDC/

Spatial Extent of Extremes in Hydrology A. El Hachem https://doi.org/10.18419/opus-14325

Short summary

A method for estimating extreme rainfall from radar observations is provided. Extreme value statistics are applied on merged radar rainfall product covering different area sizes from a single point up to about 1000 km². The rainfall extremes are supposed to decrease as the area increases. This behavior could not be confirmed by the radar observations. The reason is the limited single-point sampling approach for extreme value analysis. New multiple-point sampling strategies are proposed to mitigate this problem.