4.6 Article

Event-based precipitation characteristics related to cloud-top temperature during pre-summer rainy season over south China

期刊

INTERNATIONAL JOURNAL OF CLIMATOLOGY
卷 43, 期 5, 页码 2271-2286

出版社

WILEY
DOI: 10.1002/joc.7974

关键词

atmospheric condition; cloud-top temperature; precipitation microphysics; rain clusters; south China

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Based on GPM DPR and Himawari-8 AHI data, event-based investigations were conducted on pre-summer rainy season precipitation over south China. Rain clusters (RCs) were classified into three categories based on cloud-top temperature mode. RCs with cloud-top temperature mode < 230 K were associated with low-level velocity and jet, while RCs with cloud-top temperature mode > 265 K were mainly warm-cloud shallow precipitations triggered by local convection.
Precipitation exists in the form of event, which means all pixels within the same event have similar atmospheric condition and development experiences. Therefore, using GPM DPR and Himawari-8 AHI data from 2016 to 2020, we carried out event-based investigations on precipitations during the pre-summer rainy season over south China. The identified rain clusters (RCs) were classified into three classes based on the mode of cloud-top temperature, including those < 230, 230-265, and > 265 K. The results show that RCs with mode of cloud-top temperature < 230 K were related to low-level velocity and jet. The atmospheric layer was very unstable with sufficient moisture supply, so the ratio of convective precipitation reached as high as 20% with largest droplet size. RCs at 230-265 K were mainly frontal stratiform precipitations caused by quasi-stationary front. The atmospheric layer was stable but the horizontal moisture flux was strong; precipitations often appeared as continuous light rain with high droplet density and small droplet size. RCs with mode of cloud-top temperature > 265 K contributed less than 10% of the accumulated rainfall amount. They were mainly warm-cloud shallow precipitations triggered by local convection with low droplet density. Our results suggest that the event-scale characteristics of precipitation are indicative of the triggers and microphysics of precipitation.

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