云南百年以来的气候变化特征及其驱动机制
Characteristics of Climate Change and Its Driving Mechanisms in Yunnan Province over the Past Century
DOI: 10.12677/aep.2026.164071, PDF,   
作者: 杨晨漉:云南师范大学地理学部,云南省高原地理过程与环境变化重点实验室,云南 昆明
关键词: 气候变化云南变化趋势驱动因子Climate Change Yunnan Trend of Change Driving Factors
摘要: 利用云南省昆明站点(56779)和腾冲站点(56739)过去百年的气象观测数据,选取其中的气温和降水量要素数据,采用趋势分析法、变差系数法和小波分析法等研究方法,研究了过去百年云南东部和西部的气候变化趋势特征以及周期变化,并比较云南东西部气候变化的异同,分析东西部气候变化的成因,探讨了云南百年以来的器测数据记录与区域气候指标的变化及对比。结论如下:1) 云南东部在过去百年的气候变化特征,气温和降水量的变化趋势都呈上升,年代际变化波动不大,在过去百年尺度上,年均温变化序列存在一个10a的周期,年降水量存在一个6a的主周期,其他周期分别为9a、21a、36a;2) 云南西部地区过去百年的气候特征,气温呈上升趋势,而年降水量则为下降趋势,气温和降水量的年代际变化小,在过去百年间,年均温变化序列存在一个12a的主周期,而降水变化序列存在一个4a的主周期;3) 太阳黑子活动与云南东西部气温、降水的变化呈现出一定的相关性,主要为负相关性。ENSO是最强年际旱涝变化的主导因子,而PDO主导年代际干湿变化,三者协同作用影响云南气候变化。
Abstract: Based on the meteorological observation data of the Kunming station (56779) and the Tengchong station (56739) over the past century in Yunnan Province, the temperature and precipitation data were selected. Using research methods such as trend analysis, coefficient of variation, and wavelet analysis, the climate change trends and periodic variations in the eastern and western parts of Yunnan over the past century were studied. The similarities and differences in climate change between the eastern and western parts of Yunnan were compared, the causes of climate change were analyzed, and the changes and comparisons of instrumental data records and regional climate indicators in Yunnan over the past century were discussed. The conclusions are as follows: 1) The climate change characteristics of Yunnan in the past century show that both temperature and precipitation have an upward trend, with little fluctuation in interdecadal changes. On a 100-year scale, the annual average temperature change sequence has a 10-year cycle, and the annual precipitation has a 6-year main cycle, with other cycles being 9 years, 21 years, and 36 years; 2) The climate characteristics of the western part of Yunnan in the past century show that the temperature has an upward trend, while the annual precipitation has a downward trend. The interdecadal changes in temperature and precipitation are small. On a 100-year scale, the annual average temperature change sequence has a 12-year main cycle, and the precipitation change sequence has a 4-year main cycle; 3) Solar sunspot activity shows a certain correlation with the temperature and precipitation changes in Yunnan in the east and west, mainly a negative correlation. ENSO is the dominant factor for the strongest interannual drought and flood changes, while PDO dominates the interdecadal dry and wet changes. The three factors work together to affect the climate change in Yunnan.
文章引用:杨晨漉. 云南百年以来的气候变化特征及其驱动机制[J]. 环境保护前沿, 2026, 16(4): 709-716. https://doi.org/10.12677/aep.2026.164071

参考文献

[1] IPCC (2023) Climate Change 2023: Synthesis Report. Cambridge University Press.
[2] Marlon, J.R., Wang, X., Mildenberger, M., Bergquist, P., Swain, S., Hayhoe, K., et al. (2021) Hot Dry Days Increase Perceived Experience with Global Warming. Global Environmental Change, 68, Article 102247. [Google Scholar] [CrossRef
[3] Singh, V. (2024) Global Warming and Climate Change. In: Singh, V., Ed., Textbook of Environment and Ecology, Springer, 283-295. [Google Scholar] [CrossRef
[4] Martinez-Villalobos, C., Fu, D., Loikith, P.C. and Neelin, J.D. (2025) Accelerating Increase in the Duration of Heatwaves under Global Warming. Nature Geoscience, 18, 716-723. [Google Scholar] [CrossRef
[5] Baum, S.D. (2024) Climate Change, Uncertainty, and Global Catastrophic Risk. Futures, 162, Article 103432. [Google Scholar] [CrossRef
[6] 方精云, 朱江玲, 王少鹏, 等. 全球变暖、碳排放及不确定性[J]. 中国科学: 地球科学, 2011, 41(10): 1385-1395.
[7] Latif, M. (2011) Uncertainty in Climate Change Projections. Journal of Geochemical Exploration, 110, 1-7. [Google Scholar] [CrossRef
[8] Shiogama, H., Stone, D., Emori, S., Takahashi, K., Mori, S., Maeda, A., et al. (2016) Predicting Future Uncertainty Constraints on Global Warming Projections. Scientific Reports, 6, Article No. 18903. [Google Scholar] [CrossRef] [PubMed]
[9] Gillett, N.P. (2024) Halving of the Uncertainty in Projected Warming over the Past Decade. npj Climate and Atmospheric Science, 7, Article No. 146. [Google Scholar] [CrossRef
[10] Umeh, S.C. and Gil-Alana, L.A. (2024) Trends in Temperatures in Sub-Saharan Africa. Evidence of Global Warming. Journal of African Earth Sciences, 213, Article 105228. [Google Scholar] [CrossRef
[11] Zhang, Y., Zhou, D. and Guo, X. (2024) Regional Climate Response to Global Warming in the Source Region of the Yellow River and Its Impact on Runoff. Science China Earth Sciences, 67, 843-855. [Google Scholar] [CrossRef
[12] Roshan, G.R., Ghanghermeh, A. and Neyazmand, E. (2019) Quantification and Assessment of Effective of Global Warming on the Occurrence of Heat and Cold Waves in Some Selected Stations in Iran. Journal of the Earth and Space Physics, 44, 127-144.
[13] Chen, D.L., Rojas, M., Samset, B.H., et al. (2021) Framing, Context, and Methods. In: Masson-Delmotte, V., Zhai, P., Pirani, A., et al., Ed., Climate Change 2021: The Physical Science Basis. Contribution of Working Group Ⅰ to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press.
[14] 黄建平, 陈文, 温之平, 等. 新中国成立70年以来的中国大气科学研究: 气候与气候变化篇[J]. 中国科学: 地球科学, 2019, 49(10): 1607-1640.
[15] 中国气象局气候变化中心. 中国气候变化蓝皮书2021 [M]. 北京: 科学出版社, 2021.
[16] 徐裕华. 西南气候[M]. 北京: 气象出版社, 1991.
[17] 云南未来10-30年气候变化预估及其影响评估报告编写委员会. 云南未来10-30年气候变化预估及其影响评估报告[R]. 昆明: 云南省气象局, 2020.
[18] 姚念, 车辚. 云南气象观测遗址的调查与保护研究[J]. 自然与文化遗产研究, 2025, 10(2): 90-98.
[19] 廖君, 沈才明, 余晓珊. 气候变化及其对纳帕海湿地的影响[J]. 西部林业科学, 2016, 45(4): 136-140+146.
[20] 马开玉, 张耀存, 陈星. 现代应用统计学[M]. 北京: 气象出版社, 2004: 15-16.
[21] Meyer, Y. (1993) Wavelets and Operators. Cambridge University Press. [Google Scholar] [CrossRef
[22] 肖子牛. 太阳活动对地球气候的影响[J]. 自然杂志, 2021, 43(6): 408-419.
[23] 王绍武, 葛全胜, 王芳, 等. 全球气候变暖争议中的核心问题[J]. 地球科学进展, 2010, 25(6): 656-665.
[24] 丁一汇, 戴晓苏. 中国近百年来的温度变化[J]. 气象, 1994(12): 19-26.
[25] 段旭, 陶云, 杜军, 等. 西南地区气候变化基本事实及极端气候事件[M]. 北京: 气象出版社, 2011.
[26] 段旭, 陶云. 云南近50年来的气候变化[J]. 热带气象学报, 2012, 28(2): 243-250.
[27] 程建刚, 解明恩. 近50年云南区域气候变化特征分析[J]. 地理科学进展, 2008, 27(5): 19-26.