Variation in Extreme Temperature and Its Instability in China

In this study, the instability of extreme temperatures is defined as the degree of perturbation of the spatial and temporal distribution of extreme temperatures, which is to show the uncertainty of the intensity and occurrence of extreme temperatures in China. Based on identifying the extreme temper...

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Published in:Atmosphere
Main Authors: Chen, Hongju, Yang, Jianping, Ding, Yongjian, Tan, Chunping, He, Qingshan, Wang, Yanxia, Qin, Ji, Tang, Fan, Ge, Qiuling
Format: Report
Language:English
Published: MDPI 2022
Subjects:
Online Access:http://ir.imde.ac.cn/handle/131551/56449
https://doi.org/10.3390/atmos13010019
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spelling ftchinacadscimhe:oai:ir.imde.ac.cn:131551/56449 2023-05-15T17:36:09+02:00 Variation in Extreme Temperature and Its Instability in China Chen, Hongju Yang, Jianping Ding, Yongjian Tan, Chunping He, Qingshan Wang, Yanxia Qin, Ji Tang, Fan Ge, Qiuling 2022 http://ir.imde.ac.cn/handle/131551/56449 https://doi.org/10.3390/atmos13010019 英语 eng MDPI ATMOSPHERE http://ir.imde.ac.cn/handle/131551/56449 doi:10.3390/atmos13010019 temperature extremes instability atmospheric circulation Entropy China CLIMATE-CHANGE NORTH-ATLANTIC AIR-TEMPERATURE PROJECTION INDEXES EVENTS OCEAN Environmental Sciences & Ecology Meteorology & Atmospheric Sciences Environmental Sciences 期刊论文 2022 ftchinacadscimhe https://doi.org/10.3390/atmos13010019 2022-12-19T18:29:39Z In this study, the instability of extreme temperatures is defined as the degree of perturbation of the spatial and temporal distribution of extreme temperatures, which is to show the uncertainty of the intensity and occurrence of extreme temperatures in China. Based on identifying the extreme temperatures and by analyzing their variability, we refer to the entropy value in the entropy weight method to study the instability of extreme temperatures. The results show that TXx (annual maximum value of daily maximum temperature) and TNn (annual minimum value of daily minimum temperature) in China increased at 0.18 degrees C/10 year and 0.52 degrees C/10 year, respectively, from 1966 to 2015. The interannual data of TXx' occurrence (CTXx) and TNn' occurrence (CTNn), which are used to identify the timing of extreme temperatures, advance at 0.538 d/10 year and 1.02 d/10 year, respectively. In summary, extreme low-temperature changes are more sensitive to global warming. The results of extreme temperature instability show that the relative instability region of TXx is located in the middle and lower reaches of the Yangtze River basin, and the relative instability region of TNn is concentrated in the Yangtze River, Yellow River, Langtang River source area and parts of Tibet. The relative instability region of CTXx instability is distributed between 105 degrees E and 120 degrees E south of the 30 degrees N latitude line, while the distribution of CTNn instability region is more scattered; the TXx's instability intensity is higher than TNn's, and CTXx's instability intensity is higher than CTNn's. We further investigate the factors affecting extreme climate instability. We also find that the increase in mean temperature and the change in the intensity of the El Nino phenomenon has significant effects on extreme temperature instability. Report North Atlantic IMHE OpenIR (Institute of Mountain Hazards and Environment, Chinese Academy of Sciences) Atmosphere 13 1 19
institution Open Polar
collection IMHE OpenIR (Institute of Mountain Hazards and Environment, Chinese Academy of Sciences)
op_collection_id ftchinacadscimhe
language English
topic temperature extremes
instability
atmospheric circulation
Entropy
China
CLIMATE-CHANGE
NORTH-ATLANTIC
AIR-TEMPERATURE
PROJECTION
INDEXES
EVENTS
OCEAN
Environmental Sciences & Ecology
Meteorology & Atmospheric Sciences
Environmental Sciences
spellingShingle temperature extremes
instability
atmospheric circulation
Entropy
China
CLIMATE-CHANGE
NORTH-ATLANTIC
AIR-TEMPERATURE
PROJECTION
INDEXES
EVENTS
OCEAN
Environmental Sciences & Ecology
Meteorology & Atmospheric Sciences
Environmental Sciences
Chen, Hongju
Yang, Jianping
Ding, Yongjian
Tan, Chunping
He, Qingshan
Wang, Yanxia
Qin, Ji
Tang, Fan
Ge, Qiuling
Variation in Extreme Temperature and Its Instability in China
topic_facet temperature extremes
instability
atmospheric circulation
Entropy
China
CLIMATE-CHANGE
NORTH-ATLANTIC
AIR-TEMPERATURE
PROJECTION
INDEXES
EVENTS
OCEAN
Environmental Sciences & Ecology
Meteorology & Atmospheric Sciences
Environmental Sciences
description In this study, the instability of extreme temperatures is defined as the degree of perturbation of the spatial and temporal distribution of extreme temperatures, which is to show the uncertainty of the intensity and occurrence of extreme temperatures in China. Based on identifying the extreme temperatures and by analyzing their variability, we refer to the entropy value in the entropy weight method to study the instability of extreme temperatures. The results show that TXx (annual maximum value of daily maximum temperature) and TNn (annual minimum value of daily minimum temperature) in China increased at 0.18 degrees C/10 year and 0.52 degrees C/10 year, respectively, from 1966 to 2015. The interannual data of TXx' occurrence (CTXx) and TNn' occurrence (CTNn), which are used to identify the timing of extreme temperatures, advance at 0.538 d/10 year and 1.02 d/10 year, respectively. In summary, extreme low-temperature changes are more sensitive to global warming. The results of extreme temperature instability show that the relative instability region of TXx is located in the middle and lower reaches of the Yangtze River basin, and the relative instability region of TNn is concentrated in the Yangtze River, Yellow River, Langtang River source area and parts of Tibet. The relative instability region of CTXx instability is distributed between 105 degrees E and 120 degrees E south of the 30 degrees N latitude line, while the distribution of CTNn instability region is more scattered; the TXx's instability intensity is higher than TNn's, and CTXx's instability intensity is higher than CTNn's. We further investigate the factors affecting extreme climate instability. We also find that the increase in mean temperature and the change in the intensity of the El Nino phenomenon has significant effects on extreme temperature instability.
format Report
author Chen, Hongju
Yang, Jianping
Ding, Yongjian
Tan, Chunping
He, Qingshan
Wang, Yanxia
Qin, Ji
Tang, Fan
Ge, Qiuling
author_facet Chen, Hongju
Yang, Jianping
Ding, Yongjian
Tan, Chunping
He, Qingshan
Wang, Yanxia
Qin, Ji
Tang, Fan
Ge, Qiuling
author_sort Chen, Hongju
title Variation in Extreme Temperature and Its Instability in China
title_short Variation in Extreme Temperature and Its Instability in China
title_full Variation in Extreme Temperature and Its Instability in China
title_fullStr Variation in Extreme Temperature and Its Instability in China
title_full_unstemmed Variation in Extreme Temperature and Its Instability in China
title_sort variation in extreme temperature and its instability in china
publisher MDPI
publishDate 2022
url http://ir.imde.ac.cn/handle/131551/56449
https://doi.org/10.3390/atmos13010019
genre North Atlantic
genre_facet North Atlantic
op_relation ATMOSPHERE
http://ir.imde.ac.cn/handle/131551/56449
doi:10.3390/atmos13010019
op_doi https://doi.org/10.3390/atmos13010019
container_title Atmosphere
container_volume 13
container_issue 1
container_start_page 19
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