Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 18, issue 1
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 article
 | 
30 Jan 2026
Data description article |  | 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

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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.
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