The Role of Mesoscale Cloud Morphology in the Shortwave Cloud Feedback Geophysical Research Letters
收藏NOAA Institutional Repository2023-09-12 更新2026-04-25 收录
下载链接：
https://doi.org/10.1029/2022gl101042
下载链接
链接失效反馈官方服务：
资源简介：
A supervised neural network algorithm is used to categorize near-global satellite retrievals into three mesoscale cellular convective (MCC) cloud morphology patterns. At constant cloud amount, morphology patterns differ in brightness associated with the amount of optically thin cloud features. Environmentally driven transitions from closed MCC to other morphology patterns, typically accompanied by more optically thin cloud features, are used as a framework to quantify the morphology contribution to the optical depth component of the shortwave cloud feedback. A marine heat wave is used as an out-of-sample test of closed MCC occurrence predictions. Morphology shifts in optical depth between 65°S and 65°N under projected environmental Grant no. NA18NWS4620043 Grant no. NA19OAR4310379
提供机构：
NOAA
创建时间：
2023-09-12
