Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 18, issue 7
Articles | Volume 18, issue 7
https://doi.org/10.5194/essd-18-5485-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-18-5485-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 7
Data description article
 | 
27 Jul 2026
Data description article |  | 27 Jul 2026

EARLS: a runoff reconstruction dataset for Europe

Daniel Klotz, Peter Miersch, Thiago V. M. do Nascimento, Fabrizio Fenicia, Corinna Frank, Martin Gauch, and Jakob Zscheischler

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Latest update: 01 Sep 2026
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Short summary
Data availability is central to hydrological science. It is the basis for advancing our understanding of hydrological processes, building prediction models, and anticipatory water management. We present a data-driven daily runoff reconstruction product for natural streamflow. We name it EARLS: European aggregated reconstruction for large-sample studies. The reconstructions represent daily simulations of natural streamflow across Europe and cover the period from 1953 to 2020.
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