Modulation of tropical cyclogenesis on subseasonal-to-interannual timescales in the deep-learning climate emulator ACE2
Deep-learning global climate emulators are providing a new lens to investigate tropical cyclogenesis (TC genesis). However, without explicitly enforcing known physics, it is necessary to assess whether TC genesis in these models is physical. To address this question, we use the Ai2 Climate Emulator...
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| Huvudupphov: | , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Utgiven: |
IOP Publishing
2025-01-01
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| Serie: | Machine Learning. Earth |
| Ämnen: | |
| Länkar: | https://doi.org/10.1088/3049-4753/adfd61 |
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