GEMS-GER: a machine learning benchmark dataset of long-term groundwater levels in Germany with meteorological forcings and site-specific environmental features
<p>We present GEMS-GER (Groundwater Levels, Environment, Meteorology, Site Properties), the first benchmark dataset specifically designed for machine learning applications in long-term groundwater level modeling in Germany. The dataset comprises 32 years of gapless weekly observations from 3207 moni...
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| Principais autores: | , , , , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Copernicus Publications
2026-01-01
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| Serier: | Earth System Science Data |
| Online adgang: | https://essd.copernicus.org/articles/18/77/2026/essd-18-77-2026.pdf |
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