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...
I tiakina i:
| Ngā kaituhi matua: | , |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Copernicus Publications
2026-04-01
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| Rangatū: | Hydrology and Earth System Sciences |
| Urunga tuihono: | https://hess.copernicus.org/articles/30/2373/2026/hess-30-2373-2026.pdf |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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