Articles | Volume 18, issue 5
https://doi.org/10.5194/essd-18-3099-2026
https://doi.org/10.5194/essd-18-3099-2026
Data description article
 | 
08 May 2026
Data description article |  | 08 May 2026

Spatially resolved meteorological and ancillary data in Central Europe for rainfall streamflow modeling

Marc Aurel Vischer, Noelia Otero, and Jackie Ma

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Spatially resolved rainfall streamflow modeling in central Europe
Marc Aurel Vischer, Noelia Otero, and Jackie Ma
Hydrol. Earth Syst. Sci., 29, 5233–5250, https://doi.org/10.5194/hess-29-5233-2025,https://doi.org/10.5194/hess-29-5233-2025, 2025
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Cited articles

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Chagas, V. B. P., Chaffe, P. L. B., Addor, N., Fan, F. M., Fleischmann, A. S., Paiva, R. C. D., and Siqueira, V. A.: CAMELS-BR: hydrometeorological time series and landscape attributes for 897 catchments in Brazil, Earth Syst. Sci. Data, 12, 2075–2096, https://doi.org/10.5194/essd-12-2075-2020, 2020. a
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Short summary
We combined meteorological data with additional information (soil, rock, land cover and elevation) on a single grid that spans five river basins in central Europe over 45 years. Data was not aggregated within river catchments so as to retain the full spatial covariance. It can be efficiently processed in parallel and has been used in our recent study on end-to-end rainfall streamflow modeling with neural networks. We hope to promote further development of spatially resolved modeling approaches.
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