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

Weixiong Yan, Junfang Zhao, Jianping Li and Yunxia Wang
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Weixiong Yan: Key Laboratory for Meteorological Disaster Monitoring and Early Warning and Risk Management of Characteristic Agriculture in Arid Regions, Ningxia Key Laboratory for Meteorological Sciences, Ningxia Institute of Meteorological Sciences, Yinchuan 750003, China
Junfang Zhao: State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China
Jianping Li: Key Laboratory for Meteorological Disaster Monitoring and Early Warning and Risk Management of Characteristic Agriculture in Arid Regions, Ningxia Key Laboratory for Meteorological Sciences, Ningxia Institute of Meteorological Sciences, Yinchuan 750003, China
Yunxia Wang: Key Laboratory for Meteorological Disaster Monitoring and Early Warning and Risk Management of Characteristic Agriculture in Arid Regions, Ningxia Key Laboratory for Meteorological Sciences, Ningxia Institute of Meteorological Sciences, Yinchuan 750003, China

Sustainability, 2021, vol. 13, issue 22, 1-19

Abstract: 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 ( p < 0.05). This number of days also suggests that temperature has increased over mainland China in the past 42 years.

Keywords: STA; China; warm days; cold days; warm nights; cold nights; hot days; frost days (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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