文献类型：期刊文献

英文题名：Performance of RegCM4.5 in Simulating the Regional Climate of Western Tianshan Mountains in Xinjiang, China

作者：Cheng, Quanying[1,2] Li, Fan[3,4,5]

第一作者：Cheng, Quanying

通信作者：Li, F[1];Li, F[2];Li, F[3]

机构：[1]Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China;[2]Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China;[3]Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[4]Wuxi Taihu Univ, Jiangsu Key Construct Lab IoT Applicat Technol, Sch Internet Things Engn, Wuxi 214064, Jiangsu, Peoples R China;[5]Southeast Univ, Natl Mobile Commun Res Lab, Sch Informat Sci & Engn, Nanjing, Peoples R China

年份：2021

卷号：12

期号：12

外文期刊名：ATMOSPHERE

收录：;EI(收录号：20214811253094);Scopus(收录号：2-s2.0-85120053393);WOS:【SCI-EXPANDED(收录号:WOS:000735469600001)】；

基金：This research was funded by National Science and Technology Major Project of China?s High Resolution Earth Observation System (grant numbers: 21-Y30B02-9001-19/22).Acknowledgments: Thanks to NCEP/NCAR for providing reanalysis data, and thanks to China Meteorological Data Network for providing observation data.

语种：英文

外文关键词：regional climate model; RegCM4; 5; western Tianshan Mountains; parameterization scheme

摘要：The western Tianshan Mountains region in China has a complex topography where basins, mountains and glaciers co-exist. It is of great significance to study the sensitivity of meteorological factors in this region to different parameterization schemes of climate models. In this paper, the regional climate model RegCM4.5 is used to simulate the meteorological factor (mean temperature, maximum temperature, minimum temperature, precipitation and wind speed) occurring in the western Tianshan Mountains region from 2012 to 2016, so as to investigate the effects of different cumulus convective schemes (Grell, Tiedtke and Emanuel), including land cumulus convective schemes (LCCs) and ocean convective schemes (OCCs) on annual and seasonal simulations of meteorological factor by using the schemes of RUN1 (Grell for LCC and Tiedtke for OCC), RUN2 (Tiedtke for LCC and Emanuel for OCC), RUN3 (Grell for LCC and Emanuel for OCC) and ENS (the ensemble of RUN1, RUN2 and RUN3). The results show that the simulations of annual and seasonal meteorological factors are not significantly sensitive to the combination of LCCs and OCCs. In the annual simulations, RUN2 scheme has the best simulation performance for the maximum, average and minimum temperatures. However, other schemes of precipitation simulation outperform RUN2 scheme, and there is no difference among the four schemes for wind speed simulation. In the seasonal simulations, RUN2 scheme still performs well in the simulation of the average, maximum and minimum temperatures for four seasons, except for the simulation of the average temperature in spring and summer. For the simulation of the maximum temperature in summer, RUN2 scheme performs the same as ENS. For the simulation of other seasons, different meteorological factors have different performances in four seasons. Overall, the results show that different combinations of cumulus convection schemes can improve the simulation performance of meteorological factors in the western Tianshan Mountains of Xinjiang.