Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 30, issue 8
Articles | Volume 30, issue 8
https://doi.org/10.5194/hess-30-2373-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-30-2373-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 30, issue 8
Research article
 | 
27 Apr 2026
Research article |  | 27 Apr 2026

Never Train a Deep Learning Model on a Single Well? Revisiting Training Strategies for Groundwater Level Prediction

Marc Ohmer and Tanja Liesch

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Latest update: 27 Apr 2026
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Short summary
We compared global vs. local deep learning models for groundwater level prediction using ~3,000 wells across Germany. Unlike surface water, groundwater is complex and data-scarce. Results: global models show no systematic accuracy advantage over local ones. Data similarity matters more than quantity for better predictions. Successful groundwater modeling requires strategies tailored to these unique complexities, not just larger datasets.
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