2022
DOI: 10.3390/su14042329
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Analysis of the Temporal and Spatial Distribution of Extreme Climate Indices in Central China

Abstract: Using the daily precipitation and temperature data of 101 meteorological stations in four provinces of central China (Henan, Hubei, Hunan, Jiangxi) from 1988 to 2017, we analyzed the temporal and spatial dynamics and periodicity of nine extreme climate indices in central China, using the predefined methods for analyzing extreme climate events, such as a M-K test, a linear trend analysis, and a wavelet analysis. The extreme climate characteristics and changes in central China in the past 30 years were revealed.… Show more

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Cited by 5 publications
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“…There has been a high incidence of extreme climate events in recent years, and these extreme climate events in China have also been studied extensively [4,6,[33][34][35][36]. For instance, Li et al [36] studied the temporal-spatial distribution of extreme indices in central China (i.e., the Henan, Hubei, Hunan, and Jiangxi provinces) between 1988 and 2017 and found a noticeable decrease in the cold spell duration indicator (CSDI) at −0.19 d/10a. Additionally, the warm spell duration indicator (WSDI) and the highest annual value of daily maximum temperature increased at rates of 0.25 d/10a and 0.30 • C/10a, respectively.…”
Section: Introductionmentioning
confidence: 99%
“…There has been a high incidence of extreme climate events in recent years, and these extreme climate events in China have also been studied extensively [4,6,[33][34][35][36]. For instance, Li et al [36] studied the temporal-spatial distribution of extreme indices in central China (i.e., the Henan, Hubei, Hunan, and Jiangxi provinces) between 1988 and 2017 and found a noticeable decrease in the cold spell duration indicator (CSDI) at −0.19 d/10a. Additionally, the warm spell duration indicator (WSDI) and the highest annual value of daily maximum temperature increased at rates of 0.25 d/10a and 0.30 • C/10a, respectively.…”
Section: Introductionmentioning
confidence: 99%