Never Train a Deep Learning Model on a Single Well? Revisiting Training Strategies for Groundwater Level Prediction
<p>Deep learning (DL) models are increasingly used for hydrological forecasting, with a growing shift from site-specific to globally trained architectures. This study tests whether the widely held assumption that global models consistently outperform local ones also applies to groundwater systems, w...
Guardat en:
| Autors principals: | , |
|---|---|
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Copernicus Publications
2026-04-01
|
| Col·lecció: | Hydrology and Earth System Sciences |
| Accés en línia: | https://hess.copernicus.org/articles/30/2373/2026/hess-30-2373-2026.pdf |
| Etiquetes: |
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
|