Analysis of Spatiotemporal Variation Characteristics of High Temperatures in Qingyuan City from 1962 to 2023
HUANG Yongji
WU Zhichun
LI Tingting
FENG Ziya
LI Peifeng
Abstract:To provide references for climate prediction,disaster prevention and mitigation,and agricul-tural production,this study analyzes the spatiotemporal variation characteristics of the annual extreme maxi-mum temperature,number of high-temperature days,and frequency of high-temperature processes in Qingyuan City.The analysis is based on daily maximum temperature data from seven national meteorological observation stations in Qingyuan City from 1962 to 2023,utilizing comprehensive methods including linear trend estimation,polynomial fitting,the Mann-Kendall non-parametric statistical test,and Inverse Distance Weighting interpolation.The results indicate that over the past 62 years,the annual extreme maximum tem-perature,number of high-temperature days,and frequency of high-temperature processes in Qingyuan City have all shown significant increasing trends.Concurrently,the onset of high-temperature weather has ad-vanced,and its end has delayed,further revealing a trend towards an increasing temporal span of high tem-peratures throughout the year in Qingyuan City.July is the month most severely affected by high tempera-tures,with both the monthly average number of high-temperature days and the monthly extreme daily maxi-mum temperature ranking the highest in the year.Over the past 62 years,the spatial distribution of annual extreme high temperatures,number of high-temperature days,and frequency of high-temperature processes in Qingyuan City generally exhibited a pattern of higher values in the north and lower values in the northwest and south.The extreme maximum temperature occurred in Lianzhou,while Yangshan recorded the highest number of high-temperature days and frequency of high-temperature processes.
Keywords:climatologyextreme high temperaturehigh-temperature dayshigh-temperature processQingyuan City
Publication Date:2025-12-20
Online Publishing Date:2026-01-07(First online date of this platform, not the publication date of the document)
Pages:5( 22-26 )
Guangdong Meteorology

Guangdong Meteorology

ISSN:1007-6190
Year, Vol.(Issue):2025,47(6)