spateGAN: Spatio‐Temporal Downscaling of Rainfall Fields Using a cGAN Approach
Abstract Climate models face limitations in their ability to accurately represent highly variable atmospheric phenomena. To resolve fine‐scale physical processes, allowing for local impact assessments, downscaling techniques are essential. We propose spateGAN, a novel approach for spatio‐temporal do...
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| 主要な著者: | , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
American Geophysical Union (AGU)
2023-10-01
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| シリーズ: | Earth and Space Science |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1029/2023EA002906 |
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