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6 期                  杨明鑫等:CMIP6模式对我国西南地区夏季气候变化的模拟和预估                                       1571
               赵煜飞,朱江,许艳,2014. 近50a中国降水格点数据集的建立及质量评                 DOI:10. 12006/j. issn. 1673-1719. 2019. 193.
                  估[J]. 气象科学,34(4):414-420. DOI:10. 3969/2013jms. 0008.  周天军,邹立维,吴波,等,2014. 中国地球气候系统模式研究进
               周天军,邹立维,陈晓龙,2019. 第六次国际耦合模式比较计划                      展:CMIP 计划实施近 20 年回顾[J]. 气象学报,72(5):892-
                 (CMIP6)评 述[J]. 气 候 变 化 研 究 进 展 ,15(5):445-456.     907. DOI:10. 11676/qxxb2014. 083.




                                  Evaluation and Projection of Climate Change in
                                       Southwest China Using CMIP6 Models



                                      YANG Mingxin ,XIAO Tiangui ,LI Yong ,HU Tao      1
                                                    1,2
                                                                    1,2
                                                                              2
                                 (1. Chengdu University of Information Technology,Chengdu 610225,Sichuan,China;
                                           2. National Meteorological Centre,Beijing 100081,China)
               Abstract:Based on temperature and precipitation data to evaluate the ability of 24 models of the Coupled Model
               Intercomparison Project Phase 6(CMIP6)and multi-model ensemble(MME)to simulate summer climate change
               in Southwest China,and projected the future climate change characteristics Summer Climate Characteristics in
               Southwest China under four scenarios(SSP1-2. 6,SSP2-4. 5,SSP3-7. 0,and SSP5-8. 5)based on the best
               multi-model ensemble(BMME). The results showed that:(1)CESM2-WACCM,EC-Earth3,CMCC-CM2-
               SR5,GFDL-ESM4,TaiESM1,and MPI-ESM1-2-HR have better performance in simulating summer tempera‐
               tures in the southwest region;INM-CM4-8,KACE-1-0-G,ACCESS-CM2,NorESM2- LM,EC-Earth3,and
               ACCESS-ESM1-5 have better simulation performance for precipitation.(2)Both MME and BMME can repro‐
               duce the spatial distribution of temperature and precipitation in Southwest China summer,and BMME signifi‐
               cantly outperforms MME in the simulation of temperature and precipitation,especially in the simulation of inter‐
               annual variability of precipitation. However,the CMIP6 models still overestimate precipitation in southeastern
               Tibet.(3)In the future climate prediction,the temperature in Southwest China will continue to increase,and
               show a more obvious difference in the increase of the strong north and weak south.(4)In the middle and late
               21st century,the precipitation in western Tibet will be significantly enhanced,and the increase of precipitation
               in the late period can be more than 66% under the SSP5-8. 5 scenario.
               Key words:Southwest China;climate change;CMIP6;evaluation and projection
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