Reduced‐Order Modeling for Linearized Representations of Microphysical Process Rates
Abstract Representing cloud microphysical processes in large scale atmospheric models is challenging because many processes depend on the details of the droplet size distribution (DSD, the spectrum of droplets with different sizes in a cloud). While full or partial statistical moments of droplet siz...
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| Автори: | , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
American Geophysical Union (AGU)
2024-07-01
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| Серія: | Journal of Advances in Modeling Earth Systems |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1029/2023MS003918 |
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