Version 1
: Received: 20 June 2023 / Approved: 20 June 2023 / Online: 20 June 2023 (15:19:27 CEST)
How to cite:
Zhang, C.; Xiao, C.; Li, S.; Ren, Y.; Zhang, S.; Cai, X.; Sangbu, Z. Analysis of the Composite Risk Grade for Multi Extreme Climate Events in China in Recent 60 Years. Preprints2023, 2023061458. https://doi.org/10.20944/preprints202306.1458.v1
Zhang, C.; Xiao, C.; Li, S.; Ren, Y.; Zhang, S.; Cai, X.; Sangbu, Z. Analysis of the Composite Risk Grade for Multi Extreme Climate Events in China in Recent 60 Years. Preprints 2023, 2023061458. https://doi.org/10.20944/preprints202306.1458.v1
Zhang, C.; Xiao, C.; Li, S.; Ren, Y.; Zhang, S.; Cai, X.; Sangbu, Z. Analysis of the Composite Risk Grade for Multi Extreme Climate Events in China in Recent 60 Years. Preprints2023, 2023061458. https://doi.org/10.20944/preprints202306.1458.v1
APA Style
Zhang, C., Xiao, C., Li, S., Ren, Y., Zhang, S., Cai, X., & Sangbu, Z. (2023). Analysis of the Composite Risk Grade for Multi Extreme Climate Events in China in Recent 60 Years. Preprints. https://doi.org/10.20944/preprints202306.1458.v1
Chicago/Turabian Style
Zhang, C., Xiuhua Cai and Zhujie Sangbu. 2023 "Analysis of the Composite Risk Grade for Multi Extreme Climate Events in China in Recent 60 Years" Preprints. https://doi.org/10.20944/preprints202306.1458.v1
Abstract
Based on the daily observation data of 2254 meteorological stations in China from 1961 to 2021 after homogenization and correction, the extreme value analysis method that combines relative threshold and absolute threshold was used to identify extreme climate events in the mainland of China, namely extreme high temperature, extreme low temperature, extreme drought, extreme precipitation and extreme typhoon events. The frequency and linear variation trends of individual extreme events in the past 60 years were investigated. On this basis, the multi extreme events composite risk grade index (MXCI) was constructed, which can objectively reflect the comprehensive characteristics of multi extreme climate events in different regions. The results show that the high value areas of MXCI were mainly located in Southeast China and Southwest China. The MXCI presented a decreasing trend in most of the western and southeastern regions of China, while an increasing trend from Southwest China to the south of Northeast China, due to the frequent occurrence of extreme high temperature, extreme drought and other extreme events in these regions.
Keywords
extreme climate events; multi extreme event composite grade index (MXCI); climate change; China
Subject
Environmental and Earth Sciences, Atmospheric Science and Meteorology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
