Exploring machine learning approaches for precipitation downscaling
Accurate precipitation has great significance in hydrological, climatological, and meteorological studies. Numerous efforts have been devoted to developing global satellite-derived precipitation products. However, their coarse spatial resolution typically prevented their applicability in regional fl...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-03-01
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| Series: | Geo-spatial Information Science |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/10095020.2025.2477547 |
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