主办单位:中国气象局沈阳大气环境研究所
国际刊号:ISSN 1673-503X
国内刊号:CN 21-1531/P

Journal of Meteorology and Environment ›› 2020, Vol. 36 ›› Issue (2): 49-61.doi: 10.3969/j.issn.1673-503X.2020.02.007

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Assessment of air temperature simulation and threshold-crossing times of 2 ℃ warmings by CMIP5 models in Liaoning province

Tao WANG1(),Yi-shu WANG1,Yu-min SHEN1,*(),Yan WANG2,Lian-wei ZHAO1,Xiao-tao WANG1,Li-du SHEN1   

  1. 1. Shenyang Regional Climate Center, Shenyang 110166, China
    2. Liaoning Meteorological Information Center, Shenyang 110166, China
  • Received:2019-02-27 Online:2020-04-30 Published:2020-03-03
  • Contact: Yu-min SHEN E-mail:nick_bsb@126.com;314634310@qq.com

Abstract:

Using the 19 global climate models, ensemble models in conjunction with the observational data in Liaoning province, we evaluated the accuracy and credibility of air temperature simulated by different models under different typical concentration paths.The results indicate that the optimal model simulation performs better and has higher credibility than ensemble simulation.With the increase in emissions and concentrations of carbon dioxide, the change rate and credibility in simulated air temperature tend to show an increasing trend, and the beginning years when the temperature increment is beyond 2 ℃ for the first time, occur before 2011 at most stations.The later the beginning year is, the higher the temperature increments, and vice versa.The beginning years with temperature increment of stably by 2 ℃ occur before 2022 at most stations, and the ending years occur between 2019 and 2016, with a duration of less than 13 years.The beginning years occur earlier in the western region than in the eastern region in Liaoning province, while the ending years and duration time distribute more even.With the increase in global emissions and concentrations of carbon dioxide, the warming rate increases.Occurrence time and variation trend of the maximum, minimum, and average temperatures in different regions under different typical concentration paths are basically consistent with each other.

Key words: Global climate models, Multi-model ensemble, Magnitude of the warming, 2 ℃ threshold

CLC Number: