[口头报告]Modeling across scales of heavy precipitation with a global variable-resolution model: a case study of a catastrophic event in China

Modeling across scales of heavy precipitation with a global variable-resolution model: a case study of a catastrophic event in China
编号:450 稿件编号:4304 访问权限:仅限参会人 更新:2024-04-10 20:28:53 浏览:347次 口头报告

报告开始:2024年05月19日 09:40 (Asia/Shanghai)

报告时间:12min

所在会议:[S12] 主题12、大气物理与气象气候 » [S12-4] 主题12、大气物理与气象气候 专题12.2(19日上午,222)

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摘要
An unprecedented heavy rainfall event in China (“21.7” extreme rainfall event) was simulated using the global variable-resolution model (MPAS-Atmosphere) across the scales (4km, 8km, 16km and 50km). Although almost all experiments at different resolutions reproduce the spatiotemporal characteristics of precipitation, the precipitation intensity simulated by the experiment at 16 km is closest to the observations, and gradually decrease form 8 km, 50 km to 4 km. Precipitation magnitude is prominently influenced by the difference in simulated large-scale circulation across a range of grid spacings. Further analysis revealed that the differences in latent heating across scales affect the geopotential height and wind field by altering temperature. The latent heating in 4km simulation is the minimum while the 16km simulation is maximum. More latent heating release leads to the low-level pressure depression, amplifies the water vapor flux convergence, produces stronger upward motion and more clouds, and ultimately results in stronger precipitation. The sensitivity experiments for turning off latent heating tendencies during the event showed that the latent heat release has positive feedback on the "21.7" heavy rainfall event. This study suggests that the difference in simulated latent heat release during the event is the main reason for simulated different atmospheric circulation and precipitation across scales.
关键字
global variable-resolution model,heavy precipitation,resolution
报告人
许明月
博士后 中国科学技术大学

稿件作者
许明月 中国科学技术大学
赵纯 中国科学技术大学
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