Assessment of Seasonal Variability of Extreme Temperature in Mainland China under Climate Change

Some studies have suggested that variations in the seasonal cycle of temperature and season onset could affect the efficiency in the use of radiation by plants, which would then affect yield. However, the study of the temporal variation in extreme climatic variables is not sufficient in China. Using...

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Autores principales:	Weixiong Yan, Junfang Zhao, Jianping Li, Yunxia Wang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	STA China warm days cold days warm nights cold nights Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/809bb98bd43c4ca4a30faa0f1c3f7814
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spelling	oai:doaj.org-article:809bb98bd43c4ca4a30faa0f1c3f78142021-11-25T19:01:14ZAssessment of Seasonal Variability of Extreme Temperature in Mainland China under Climate Change10.3390/su1322124622071-1050https://doaj.org/article/809bb98bd43c4ca4a30faa0f1c3f78142021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/22/12462https://doaj.org/toc/2071-1050Some studies have suggested that variations in the seasonal cycle of temperature and season onset could affect the efficiency in the use of radiation by plants, which would then affect yield. However, the study of the temporal variation in extreme climatic variables is not sufficient in China. Using seasonal trend analysis (STA), this article evaluates the distribution of extreme temperature seasonality trends in mainland China, describes the trends in the seasonal cycle, and detects changes in extreme temperature characterized by the number of hot days (HD) and frost days (FD), the frequency of warm days (TX90p), cold days (TX10p), warm nights (TN90p), and cold nights (TN10p). The results show a statistically significant positive trend in the annual average amplitudes of extreme temperatures. The amplitude and phase of the annual cycle experience less variation than that of the annual average amplitude for extreme temperatures. The phase of the annual cycle in maximum temperature mainly shows a significant negative trend, accounting for approximately 30% of the total area of China, which is distributed across the regions except for northeast and southwest. The amplitude of the annual cycle indicates that the minimum temperature underwent slightly greater variation than the maximum temperature, and its distribution has a spatial characteristic that is almost bounded by the 400 mm isohyet, increasing in the northwest and decreasing in the southeast. In terms of the extreme air temperature indices, HD, TX90p, and TN90p show an increasing trend, FD, TX10p, and TN10p show a decreasing trend. They are statistically significant (<i>p</i> < 0.05). This number of days also suggests that temperature has increased over mainland China in the past 42 years.Weixiong YanJunfang ZhaoJianping LiYunxia WangMDPI AGarticleSTAChinawarm dayscold dayswarm nightscold nightsEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12462, p 12462 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	STA China warm days cold days warm nights cold nights Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	STA China warm days cold days warm nights cold nights Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Weixiong Yan Junfang Zhao Jianping Li Yunxia Wang Assessment of Seasonal Variability of Extreme Temperature in Mainland China under Climate Change
description	Some studies have suggested that variations in the seasonal cycle of temperature and season onset could affect the efficiency in the use of radiation by plants, which would then affect yield. However, the study of the temporal variation in extreme climatic variables is not sufficient in China. Using seasonal trend analysis (STA), this article evaluates the distribution of extreme temperature seasonality trends in mainland China, describes the trends in the seasonal cycle, and detects changes in extreme temperature characterized by the number of hot days (HD) and frost days (FD), the frequency of warm days (TX90p), cold days (TX10p), warm nights (TN90p), and cold nights (TN10p). The results show a statistically significant positive trend in the annual average amplitudes of extreme temperatures. The amplitude and phase of the annual cycle experience less variation than that of the annual average amplitude for extreme temperatures. The phase of the annual cycle in maximum temperature mainly shows a significant negative trend, accounting for approximately 30% of the total area of China, which is distributed across the regions except for northeast and southwest. The amplitude of the annual cycle indicates that the minimum temperature underwent slightly greater variation than the maximum temperature, and its distribution has a spatial characteristic that is almost bounded by the 400 mm isohyet, increasing in the northwest and decreasing in the southeast. In terms of the extreme air temperature indices, HD, TX90p, and TN90p show an increasing trend, FD, TX10p, and TN10p show a decreasing trend. They are statistically significant (<i>p</i> < 0.05). This number of days also suggests that temperature has increased over mainland China in the past 42 years.
format	article
author	Weixiong Yan Junfang Zhao Jianping Li Yunxia Wang
author_facet	Weixiong Yan Junfang Zhao Jianping Li Yunxia Wang
author_sort	Weixiong Yan
title	Assessment of Seasonal Variability of Extreme Temperature in Mainland China under Climate Change
title_short	Assessment of Seasonal Variability of Extreme Temperature in Mainland China under Climate Change
title_full	Assessment of Seasonal Variability of Extreme Temperature in Mainland China under Climate Change
title_fullStr	Assessment of Seasonal Variability of Extreme Temperature in Mainland China under Climate Change
title_full_unstemmed	Assessment of Seasonal Variability of Extreme Temperature in Mainland China under Climate Change
title_sort	assessment of seasonal variability of extreme temperature in mainland china under climate change
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/809bb98bd43c4ca4a30faa0f1c3f7814
work_keys_str_mv	AT weixiongyan assessmentofseasonalvariabilityofextremetemperatureinmainlandchinaunderclimatechange AT junfangzhao assessmentofseasonalvariabilityofextremetemperatureinmainlandchinaunderclimatechange AT jianpingli assessmentofseasonalvariabilityofextremetemperatureinmainlandchinaunderclimatechange AT yunxiawang assessmentofseasonalvariabilityofextremetemperatureinmainlandchinaunderclimatechange
_version_	1718410413727547392

Assessment of Seasonal Variability of Extreme Temperature in Mainland China under Climate Change

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