Towards generalized hydrological forecasting using transformer models for 120 h streamflow prediction
This study explores the efficacy of a transformer model for hourly streamflow prediction, generating forecasts up to 120 h ahead across 125 diverse locations in Iowa, US. Utilizing data from the preceding 72 h, including precipitation, evapotranspiration, and discharge values, we developed a general...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
IOP Publishing
2026-01-01
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| Col·lecció: | Machine Learning. Earth |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1088/3049-4753/ae81b8 |
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