Improvement of cloud microphysical parameterization and its advantages in simulating precipitation along the Sichuan-Xizang Railway

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外文摘要：The Sichuan-Xizang Railway is an important part of the railway network in China,and geological disasters,such as mountain floods and landslides,frequently occur in this region.Precipitation is an important cause of these disasters;therefore,accurate simulation of the precipitation in this region is highly important.In this study,the descriptions for uncertain processes in the cloud microphysics scheme are improved;these processes include cloud droplet activation,cloud-rain autoconversion,rain accretion by cloud droplets,and the entrainment-mixing process.In the default scheme,the cloud water content of different sizes corresponds to the same cloud droplet concentration,which is inconsistent with the actual content;this results in excessive cloud droplet size,unreasonable related conversion rates of microphysical process(such as cloud-rain autoconversion),and an overestimation of precipitation.Our new scheme overcomes the problem of excessive cloud droplet size.The processes of cloud-rain autoconversion and rain accretion by cloud droplets are similar to the stochastic collection equation,and the mixing mechanism of cloud droplets is more consistent with that occurred during the actual physical process in the cloud.Based on the new and old schemes,multiple precipitation processes in the flood season of 2021 along the Sichuan-Xizang Railway are simulated,and the results are evaluated using ground observations and satellite data.Compared to the default scheme,the new scheme is more suitable for the simulation of cloud physics,reducing the simulation deviation of the liquid water path and droplet radius from 2 times to less than 1 time and significantly alleviating the overestimation of precipitation intensity and range of precipitation center.The average root-mean-square error is reduced by 22％.Our results can provide a scientific reference for improving precipitation forecasting and disaster prevention in this region.

外文关键词：

The Sichuan-Xizang RailwayCloud microphysicsPrecipitationModel improvement

作者：

Xiaoqi XU、Zhiwei HENG、Yueqing LI、Shunjiu WANG、Jian LI、Yuan WANG、Jinghua CHEN、Peiwen ZHANG、Chunsong LU

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作者单位：

China Meteorological Administration Transportation Meteorology Key Laboratory Nanjing Joint Institute for Atmospheric Sciences,Nanjing 210041,China

Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province,Institute of Plateau Meteorology,CMA,Chengdu 610072,China

State Key Laboratory of Disaster Weather,Chinese Academy of Meteorological Sciences,Beijing 100081,China

Collaborative Innovation Center for Western Ecological Safety,Lanzhou University Lanzhou 730000,China

China Meteorological Administration Aerosol-Cloud and Precipitation Key Laboratory and Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD),Nanjing University of Information Science and Technology,Nanjing 210044,China

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基金：

Second Tibetan Plateau Scientific Expedition and Research Program(STEP)国家自然科学基金重点项目国家重点研发计划国家自然科学基金Basic Research Fund of Chinese Academy of Meteorological SciencesKey Research and Development Program of Science and Technology Department of Sichuan Province

项目编号：

2019QZKK0105420306112022 YFC300390342205072 &423050832022Y0242022YFS0540

出版年：

2024

DOI：

10.1007/s11430-023-1247-2

中国科学:地球科学(英文版)

中国科学院

中国科学:地球科学(英文版)

影响因子：1.002

ISSN：1674-7313

年,卷(期)：2024.67(3)

参考文献量71