全球增暖1.5/2℃下中国区域极端降水的风险变化及其影响因子分析
作者:
作者单位:

1.南京信息工程大学 气象灾害教育部重点实验室/气候与环境变化国际联合实验室/气象灾害预报预警与评估协同创新中心;2.南京信息工程大学 数学与统计学院;3.吉林省气象科学研究所,中高纬度环流系统与东亚季风研究开放实验室,吉林 长春

作者简介:

通讯作者:

中图分类号:

基金项目:

国家重点研发计划(2017YFA0603804,2018YFC1505804);国家自然科学基金面上项目(41905078,11771215,41875098);江苏省自然科学基金(BK20191394)


Risk and impact analysis of extreme precipitation over China under 1.5/2°C global warming
Author:
Affiliation:

1.Key Laboratory of Meteorological Disaster of Ministry of EducationKLME/Joint International Research Laboratory of Climate and Environment ChangeILCEC/Collaborative Innovation Center on Forecast and Evaluation of Meteorological DisasterCIC-FEMD, Nanjing University of Information Science Technology;2.School of Mathematics and Statistics, Nanjing University of Information Science &3.amp;4.Technology;5.School of Mathematics and Statistics, Nanjing University of Information Science & Technology;6.Laboratory of Research for Middle-High Latitude Circulation System and East Asian Monsoon, Institute of Meteorological Sciences of Jilin Province

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 文章评论
  • |
  • 资源附件
    摘要:

    本文利用24个CMIP6全球气候模式的逐日降水模拟资料,基于广义极值分布(GEV)模型,研究了全球增暖1.5/2℃下我国20、50和100年重现期极端降水的未来风险变化。可以发现,相对于历史时期(1995-2014),全球升温1.5℃和2℃下极端降水发生概率风险空间分布相近,总体上呈现增加趋势,但额外增暖0.5℃将导致更高的风险。如50年重现期极端降水,在增暖1.5/2℃下其重现期将分别变为17/14年,极端降水将变得更加频繁。不同区域对气候变暖的响应存在区域差异,其中中国西部长江黄河中上游和青藏高原地区、中国东部长江黄河中下游及其以南地区,极端降水发生概率比达到3以上,局部更是达到5以上,为我国极端降水气候变化响应高敏感区域。进一步,基于概率分布函数从理论角度探讨了位置和尺度参数对发生概率风险的影响与贡献度量,并用于探讨极端降水气候平均态和变率变化对极端降水发生风险的影响,结果显示:位置和尺度参数的增量变化、风险变化率存在着显著的东西部差异,从而导致极端降水发生风险的影响因素存在差异。如中国西部尽管极端降水气候平均态和变率变化幅度不大,但因风险变化率较高,从而导致该区域的发生风险大幅增加;与之相反,中国东部风险变化率较小,但气候平均态和年际变率增幅较大,同样导致该区域风险增加依然较高;此外,相对于位置参数,全国大部分区域主要是尺度参数的变化导致极端降水未来风险增大。

    Abstract:

    Based on the daily precipitation of 24 global climate models from the sixth phase of the Coupled Model Intercomparison Project 6 (CMIP6) multimodel simulations, the generalized extreme value distribution (GEV) is introduced to study the risks of precipitation extremes that expected to occur every 20, 50 and 100 years over China under 1.5/2°C global warming. Compared to the historical period (1995-2014), the changes in the probability risks of extreme precipitation under global warming of 1.5/2℃ present an overall increasing trend. Although their spatial distributions show similar characteristics, the additional half a degree global warming will lead to a higher risk. For example, extreme precipitation that occurred once every 50 years will become once about every 17/14years under the warming of 1.5/2°C, respectively, and extreme precipitation will become more frequent. There are regional differences in the responses of different regions to climate warming, among which the middle and upper reaches of the Yangtze and Yellow Rivers and the Qinghai-Tibet Plateau region in the Western China, and the middle and lower reaches of Yangtze and Yellow Rivers and its south in Eastern China, are highly sensitive response regions to climate change, and their probability ratios reach 3 or even 5 or more. Furthermore, the influence and contribution measures of location and scale parameters on the probability ratios are explored from a theoretical perspective based on the probability distributions, and are used to explore the influences of the climate means and variability changes on the risks of extreme precipitation. The results show that there are significant differences between Eastern China and Western China in the incremental changes of location and scale parameters, and in the rates of probability risk changes, which lead to differences of the factors that influencing the risk of extreme precipitation. In the Western China, although the changes in climate means and variabilities of extreme precipitation are small, the probability ratios increase significantly due to the high rates of probability risk changes. In contrast, the change rates are small, but the climate means and variabilities present a high increase, which also lead to an increase in the Eastern China. Moreover, compared to the location parameters, the increase risks in most of regions over China are mainly due to the changes of scale parameters of extreme precipitation in the future.

    参考文献
    相似文献
    引证文献
引用本文
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2021-08-11
  • 最后修改日期:2022-06-01
  • 录用日期:2022-06-02
  • 在线发布日期: 2022-06-02
  • 出版日期:

地址:江苏南京,宁六路219号,南京信息工程大学    邮编:210044

联系电话:025-58731158    E-mail:xbbjb@nuist.edu.cn    QQ交流群号:344646895

大气科学学报 ® 2022 版权所有  技术支持:北京勤云科技发展有限公司