SEEPS4ALL: an open dataset for the verification of daily precipitation forecasts using station climate statistics

Ben-Bouallègue, Zied; Prieto-Nemesio, Ana; Iza Wong, Angela; Pinault, Florian; van der Schee, Marlies; Modigliani, Umberto

doi:10.5194/essd-18-713-2026

Articles | Volume 18, issue 1

https://doi.org/10.5194/essd-18-713-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-18-713-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 1

Data description paper

|

30 Jan 2026

Data description paper |

| 30 Jan 2026

SEEPS4ALL: an open dataset for the verification of daily precipitation forecasts using station climate statistics

Zied Ben-Bouallègue, Ana Prieto-Nemesio, Angela Iza Wong, Florian Pinault, Marlies van der Schee, and Umberto Modigliani

Data sets

SEEPS4ALL version 1.1 Zied Ben Bouallègue https://doi.org/10.5281/zenodo.18197534

Model code and software

cmwf/rodeo-ai-static-datasets: v1.0.0 (v1.0.0) Zied Ben Bouallegue and Ana Prieto Nemesio https://doi.org/10.5281/zenodo.18392043

Short summary

SEEPS4ALL (Stable and Equitable Error in Probability Space) is a precipitation dataset consisting of observations at meteorological stations over 3 years (2022–2024 for now), and a set of corresponding climate statistics estimated over 30 years (1991–2020). A climatology is derived separately for each station and each month of the year. Along with the dataset, SEEPS4ALL also resembles a set of verification tools. In a nutshell, SEEPS4ALL helps promote the benchmark of daily precipitation forecasts against in-situ observations over Europe.