Journal of Guangxi Normal University(Natural Science Edition) ›› 2026, Vol. 44 ›› Issue (5): 135-150.doi: 10.16088/j.issn.1001-6600.2025090902

• Ecology and Environmental Science Research • Previous Articles     Next Articles

Variations of extreme climate(1959-2018) in Three Parallel Rivers of Yunnan and their relationship with global large-scale climate oscillations

Wu Kunde1, Wu Lihua1*, Cheng Peng2, Zhao Xiong1, Yuan Li1, Liu Junfeng1   

  1. 1. College of Soil and Water Conservation, Southwest Forestry University, Kunming Yunnan 650224, China;
    2. Urumqi Meteorological Bureau, Urumqi Xinjiang 830002, China
  • Received:2025-09-09 Revised:2025-12-26 Online:2026-09-05 Published:2026-07-24

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Abstract: Based on daily meteorological data from 1959 to 2018, this study employed extreme climate indices, climate tendency rates, abrupt change detection, Morlet complex wavelet analysis, Pearson correlation, and wavelet coherence analysis to investigate the characteristics of extreme climate and its influencing factors in the study area. The main findings are as follows: 1) Warm extreme temperature indices showed an increasing trend, while cold extreme temperature indices exhibited a decreasing trend. The abrupt changes in extreme temperature indices occurred notably and concentratedly around1982-1994 year and1998-2006 year, with dominant cycles of 9-13 years and 44-57 years. Extreme precipitation duration indices displayed a decreasing trend, while the trends in extreme precipitation intensity indices showed spatial heterogeneity. The abrupt changes in extreme precipitation indices were insignificant and scattered, with dominant cycles of 6 years and 55-57 years. 2) Absolute extreme temperature indices showed significant correlations with multi-year average temperature (positive), elevation (negative), and latitude (negative). Extreme precipitation indices exhibited relatively significant correlations with multi-year average temperature (positive),daily precipitation (positive), and longitude (negative), displaying a trend of decreasing from west to east. 3) The AMO (Atlantic Multidecadal Oscillation)was extensively correlated with extreme temperature indices. Most extreme temperature indices lagged behind atmospheric circulation indices, which aligns with the general physical process of ocean-atmosphere driving. The weakening or reversal of phase relationships between extreme temperature indices and atmospheric circulation indices during specific periods arised from the influence of other strong climate signals.

Key words: Three Parallel Rivers, extreme climate, spatiotemporal variation, climate oscillation, global large-scale, variation, influencing factor

CLC Number:  P467;S42
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