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 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

Viewed

Total article views: 390 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
277 87 26 390 18 15
  • HTML: 277
  • PDF: 87
  • XML: 26
  • Total: 390
  • BibTeX: 18
  • EndNote: 15
Views and downloads (calculated since 25 Nov 2025)
Cumulative views and downloads (calculated since 25 Nov 2025)

Viewed (geographical distribution)

Total article views: 390 (including HTML, PDF, and XML) Thereof 390 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 30 Jan 2026
Download
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.
Read more
Share
Altmetrics
Final-revised paper
Preprint