Spatial and temporal variation characteristics of extreme temperatures in Hami City in the past 60 years
Received date: 2022-09-25
Revised date: 2022-11-02
Online published: 2023-07-24
The meteorological data of the daily maximum and minimum temperatures of Hami City National Meteorological Reference Station, Xinjiang, China from 1961 to 2019 were selected to predict future temperature changes in the city. The spatiotemporal variation characteristics of extreme temperature in Hami City were analyzed using the univariate linear regression method, 10 a moving average, Mann-Kendall method, moving t test, and principal component analysis method, which provided a certain basis for determining the future temperature trend, enhancing the city’s ability to respond to extreme temperature events, and reducing the harm caused by meteorological disasters to agricultural production in Hami City. The results showed the following: (1) The change in the extreme temperature index in Hami City is asymmetric, the change in cold and warm indexes is opposite, and the warming amplitude of the night index is greater than that of the day index. Seasonally, most extreme temperature indices vary more widely in summer and autumn. (2) In the past 60 years, the frequency of extreme low-temperature events in Hami City decreased significantly, among which frost days decreased most significantly, with a decrease of -4.59 d·(10a)-1. The frequency and intensity of extreme heat events have increased significantly. The growth season length tends to be consistent with the change of the thermal persistence index, while the change of the cold persistence index is the opposite. (3) The extreme temperature and cold indices are more sensitive to climate change. The abrupt changes occurred in the mid-1980s and the late 1990s, and the abrupt changes in the warm and persistent indices occurred in the late 1990s. (4) The cumulative variance contribution rate of the two principal components was 76.453%, the correlation between extreme temperature events and temperature warming was high, and the cold and warm index was negatively correlated. Cold nights, cold days, frost days, warm nights, and warm days were the main factors for the temperature increase in Hami City.
Yueping CHEN , Shengli WU , Xin ZHAO , Yijia ZHANG . Spatial and temporal variation characteristics of extreme temperatures in Hami City in the past 60 years[J]. Arid Land Geography, 2023 , 46(6) : 868 -879 . DOI: 10.12118/j.issn.1000-6060.2022.484
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