Study on the change characteristics of Guangzhou centennial air temperature based on the homogenization data

doi:10.12006/j.issn.1673-1719.2020.097

Abstract

Abstract:

RHtest software and station metadata were used to detect and adjust artificial shifts of the annual average temperature of Guangzhou during 1908-2019. The results showed that there were seven significant abrupt change points in 1912, 1928, 1942, 1988, 1995, 2004 and 2010. The temperature increasing rate was 1.39℃/(100 a), which was higher than the series without homogenization adjustment, with significant quasi-50-year and quasi-3-year periods. DB16 orthogonal wavelet was applied to analyze the multiple time scale changing characteristics. The trend component had the largest variance contribution, followed by quasi-3-year and quasi-6-year periodic components. The trend component began to show a continuous warming trend from the 1940s. The rapid warming from the middle 1980s to the end of the 20th century was the result of superposition of the rising phase of the quasi-50-year period component, quasi-20-year period component and the trend component. The warming hiatus from 1998 to 2014 was caused by the superposition of the cooling phase of the quasi-50-year period component, quasi-20-year period component and the quasi-10-year period component.

Key words: Homogenization, Centennial air temperature, Multiple time scales, Guangzhou

PAN Wei-Juan, WU Xiao-Xuan, HE Jian, LYU Yong-Ping, AI Hui. Study on the change characteristics of Guangzhou centennial air temperature based on the homogenization data[J]. Climate Change Research, 2021, 17(4): 444-454.

Figures/Tables 11

Fig. 1 The annual average air temperature series of 10 reference stations and reference series during 1961-2019

Table 1 Station evolution of Guangzhou station since 1945

Table 2 RHtest detecting and adjustment result of the Guangzhou annual average air temperature during 1908-2019

Fig. 2 The annual average air temperature difference between series of Guangzhou without adjustment and reference series and RHtest revised value during 1908-1960 (a) and 1961-2019 (b)

Fig. 3 The annual average temperature series of Guangzhou before and after adjustment Hongkong during 1908-2019

Fig. 4 The Mann-Kendall statistics of Guangzhou (a) and Hongkong (b) annual average air temperature during 1908-2019

Fig. 5 Power spectrum of the annual average temperature series during 1908-2019 of Guangzhou

Fig. 6 Trend components (a) and six quasi periodic components (b?c) of annual average temperature series during 1908-2019 of Guangzhou reconstructed by DB16 wavelet

Fig. 7 The annual average temperature of Guangzhou standard series, Huangpu series, urban series and Longmen series during 1963-2019

Fig. 8 The distribution of ventilation potential coefficient (a) and floor area ratio (b) in the central area of Guangzhou

Fig. 9 The difference of annual average temperature obtained by different times during 1954-2019

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