Welcome to Chinese Agricultural Science Bulletin,

Chinese Agricultural Science Bulletin ›› 2020, Vol. 36 ›› Issue (14): 113-118.doi: 10.11924/j.issn.1000-6850.casb19020049

Special Issue: 农业气象

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Surface Temperature Variation of Shouguang City from 1961 to 2017: Characteristics and Causes

Gao Xueqin, Zhang Shan, Chang Cheng, Xu Fengxia   

  1. Shouguang Meteorological Bureau, Shouguang Shandong 262700
  • Received:2019-02-25 Revised:2019-05-19 Online:2020-05-15 Published:2020-05-20

Abstract:

To reveal the surface temperature evolution rules and characteristics of Shouguang City, the paper used modern climatology diagnostic and statistical methods as linear regression analysis and cumulative anomaly to analyze the variation trend of surface temperature from 1961 to 2017. And the relationship between surface temperature and air temperature, sunshine duration, precipitation, water vapor pressure and other meteorological elements was also discussed. The results showed that in Shouguang City, the annual and seasonal mean surface temperature, the average maximum surface temperature and the average minimum surface temperature all showed an increase trend, and the minimum surface temperature increased most obviously with 0.54℃/10 a. The difference between annual mean surface temperature and air temperature decreased significantly at the rate of 0.16℃/10 a. It was found that the surface temperature in Shouguang City experienced a sudden change from cold to warm in the early 1990s. The seasonal increase of surface temperature varied greatly. And the rise of the surface temperature in winter and spring and the significant increase of the lowest surface temperature were the reasons for the rise of the city surface temperature, in addition, the decrease of precipitation and sunshine duration and the decline of water vapor pressure were important meteorological factors leading to the change of local surface temperature.

Key words: Shouguang City, surface temperature, variation characteristics, abrupt climatic change, correlation analysis

CLC Number: