A Statistical Analysis of Extreme Hot Characteristics and their Relationships with Urbanization in Southern China during 1971–2020

Author:

Gao Huanyan12,Luo Yali12,Jiang Xiaoling3,Zhang Da-Lin4,Chen Yang1,Wang Yongqing2,Shen Xinyong25

Affiliation:

1. 1 State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China

2. 2 Key Laboratory of Meteorological Disaster, Ministry of Education / Joint International Research Laboratory of Climate and Environment Change / Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China

3. 3 National Institute of Natural Hazards, Beijing, 100085, China

4. 4 Department of Atmospheric and Oceanic Science, University of Maryland, College Park, Maryland, USA

5. 5 Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China

Abstract

AbstractIn this study, the total days, mean duration, and intensity of extreme hot events over southern China during the 1971–2020 warm seasons are analyzed, based on daily maximum and minimum temperatures, by comparing the newly proposed independent hot day (IHD), independent warm night (IWN), and compound extreme (CMPD, i.e., the continuous occurrences of hot days and hot nights) to the traditionally defined hot day and warm night. Relationships between the hot extremes and urbanization are explored with 1-km resolution population density data. Results show obvious differences in the spatial distributions between IHD, IWN, and CMPD over southern China. Positive correlations of 0.43, 0.41 and 0.37 are found between the population density and the total days, mean duration and mean intensity of CMPD, respectively, which are qualitatively similar to those using the traditional hot days and warm nights. In contrast, negative correlations between the IHD and IWN indices and the population density are found, as those indices are more apparent over rural areas. Moreover, total days, mean duration and mean intensity of CMPD increase significantly with trends of about 103% decade-1, 21% decade-1 and 38% decade-1, respectively, during the rapid urbanization period from mid-1990s to 2020, which are about 4.9, 2.1 and 2.4 times of their counterparts from 1970 to mid-1990s, while less significant and smaller differences between the two eras are found in IHD and IWN. These results will provide a new scientific basis for evaluating climate models of hot extremes in southern China and have important implications for the other urbanized regions as well.

Publisher

American Meteorological Society

Subject

Atmospheric Science

全球学者库

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"全球学者库"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前全球学者库共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2023 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3