Spatio‐Temporal Machine Learning for Regional to Continental Scale Terrestrial Hydrology
Abstract Integrated hydrologic models can simulate coupled surface and subsurface processes but are computationally expensive to run at high resolutions over large domains. Here we develop a novel deep learning model to emulate subsurface flows simulated by the integrated ParFlow‐CLM model across th...
محفوظ في:
| المؤلفون الرئيسيون: | , , , , , , , |
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| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
American Geophysical Union (AGU)
2024-06-01
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| سلاسل: | Journal of Advances in Modeling Earth Systems |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://doi.org/10.1029/2023MS004095 |
| الوسوم: |
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