ZENG Jian,XU Qinghan,ZHANG Yu,et al.Temporal and Spatial Characteristics of Temperature in Southwest China during the Past Century[J].Journal of Chengdu University of Information Technology,2022,37(04):412-421.[doi:10.16836/j.cnki.jcuit.2022.04.009]
中国西南地区百年气温的时空演变特征
- Title:
- Temporal and Spatial Characteristics of Temperature in Southwest China during the Past Century
- 文章编号:
- 2096-1618(2022)04-0412-10
- Keywords:
- Southwest China; air temperature; climate change; temporal and spatial characteristics; CRU
- 分类号:
- P467
- 文献标志码:
- A
- 摘要:
- 为深入认识中国西南地区过去百年气温变化,采用英国东英吉利大学气候研究中心(CRU)1901-2019年的气温数据,分析中国西南地区百年来的气温趋势和时空分布特征,并与中国其他区域的气温进行对比。结果表明:(1)过去百年西南地区年平均气温、最高和最低气温表现为上升趋势,倾向率分别为0.28 ℃/100 a、0.18 ℃/100 a和0.34 ℃/100 a,最低气温对气候变暖的贡献显著高于最高气温。西南地区经历了两次显著的变暖事件,两次变暖事件所能达到的年均气温极值基本一致,均表现为最低气温的上升速率最大,对气候变暖的贡献更大。但是两次变暖事件在升温速率及升温持续时间方面差异明显。(2)西南地区气温表现出3个明显的空间特征。首先,气温在空间上呈现出极值的空间型,中心位置与四川盆地范围重叠,这对应气温EOF的第一模态(方差贡献为73.9%); 其次,西部高海拔地区比东部低海拔地区的气温低,对应第二模态(方差贡献为9.0%); 最后,气温总体呈现南部高于北部,对应第三模态(方差贡献为7.6%)。(3)西南地区的升温进程与中国其他地区存在非同步性,该地区的升温率相比于其他地区偏小。
- Abstract:
- In order to gain an in-depth understanding of temperature changes in Southwest China over the past 100 years, this paper uses the temperature data of the Climate Research Center of the University of East Anglia(CRU)from 1901 to 2019 to analyze the trend and temporal and spatial distribution of temperature in southwest China in the past hundred years, and compared with those in other regions of China. The results show that:(1)In the past 100 years, the annual average temperature, maximum and minimum temperature in Southwest China show an upward trend, and the tendency rates are 0.28 ℃/100 a, 0.18 ℃/100 a and 0.34 ℃/100 a, respectively. The contribution of the minimum temperature to climate warming is significantly higher than that of the maximum temperature. Southwest China has experienced two significant warming events. The maximum annual average temperature reached by the two warming events are basically the same, but the two warming events have significant differences in the rate and the duration of the temperature rise.(2)The temperature in Southwest China shows three pronounced spatial distribution characteristics. Firstly, the temperature exhibits an extreme spatial pattern. Its maximum occurs at the junction of Sichuan and Chongqing, which corresponds to the first mode of EOF decomposition(73.9% variance contribution). Secondly, the temperature increases with altitude, corresponding to the second mode(with a variance contribution of 9.0%). Thirdly, the temperature is generally higher in the south than that in the north, corresponding to the third mode(with a variance contribution of 7.6%).(3)The warming process in Southwest China is not synchronous with that in other regions of China and Southwest China has the lowest temperature increase rate in China.
参考文献/References:
[1] 沈永平,王国亚.IPCC第一工作组第五次评估报告对全球气候变化认知的最新科学要点[J].冰川冻土,2013,35(5):1068-1076.
[2] Intergovernmental Panel on Climate Change.Climate Change 2013-The Physical Science Basis[M].Cambridge:Cambridge University Press,2014.
[3] 傅桦.全球气候变暖的成因与影响[J].首都师范大学学报(自然科学版),2007,28(6):11-15.
[4] 刘珊,陈幸荣,蔡怡.全球变暖“停滞”研究综述[J].海洋学报,2019,41(4):1-14.
[5] Kosaka Y,Xie S P.Recent global-warming hiatus tied to equatorial Pacific surface cooling[J].Nature,2013,501(7467):403-407.
[6] 苏京志,温敏,丁一汇,等.全球变暖趋缓研究进展[J].大气科学,2016,40(6):1143-1153.
[7] Xie S P.Ocean Warming Pattern Effect On Global And Regional Climate Change[J].AGU Advances,2020,1(1).
[8] Su J,Zhang R,Wang H.Consecutive record-breaking high temperatures marked the handover from hiatus to accelerated warming[J].Scientific Reports,2017,7(1):S22-S23.
[9] Zhang C,Li S,Luo F,et al.The global warming hiatus has faded away: An analysis of 2014-2016 global surface air temperatures[J].International Journal of Climatology,2019,39(12):4853-4868.
[10] 张强,韩永翔,宋连春.全球气候变化及其影响因素研究进展综述[J].地球科学进展,2005(9):990-998.
[11] Zhai P,Ren F.On changes of China’s maximum and minimum temperatures in 1951-1990[J].Acta Meteorologica Sinica,1999(3):278-290.
[12] 班军梅,缪启龙,李雄.西南地区近50年来气温变化特征研究[J].长江流域资源与环境,2006,15(3):346-351.
[13] 马振锋,彭骏,高文良,等.近40年西南地区的气候变化事实[J].高原气象,2006,25(4):633-642.
[14] 刘晓冉,李国平,范广洲,等.西南地区近40 a气温变化的时空特征分析[J].气象科学,2008,28(1):30-36.
[15] 袁文德,郑江坤.1962-2012年西南地区极端温度事件时空变化特征[J].长江流域资源与环境,2015,24(7):1246-1254.
[16] 罗玉,范广洲,周定文,等.近41年西南地区极端温度变化趋势[J].西南大学学报(自然科学版),2016,38(5):161-167.
[17] 张勇,蔡宏珂.基于20CR再分析资料的中国西南地区气温长期趋势评估[J].云南大学学报(自然科学版),2020,42(4):712-719.
[18] 杜泽玉,曹富强,杨荣.基于CRU资料的山西百年气温时空演变特征[J].高原气象,2021,40(1):123-132.
[19] 杨勤勤.非参数Theil-Sen处理线性混合模型[D].厦门:厦门大学,2018.
[20] Sheffield J,Wood E,Roderick M.Little change in global drought over the past 60 years[J].Nature,2012,491:435-438.
[21] Schrier G,Barichivich J,Briffa K,et al.A scPDSI-based global data set of dry and wet spells for 1901-2009[J].Journal of Geophysical Research:Atmospheres,2013,118:4025-4048.
[22] Schrier G,Jones P,Briffa K.The sensitivity of the PDSI to the Thornthwaite and Penman-Monteith parameterizations for potential evapotranspiration[J].J Geophys Res-Atmos,2011,116.
[23] Lawler J,Shafer S,White D,et al.Projected climate-induced faunal change in the Western Hemisphere[J].Ecology,2009,90:588-597.
[24] Rowhani P,Lobell D,Linderman M,et al.Climate variability and crop production in Tanzania[J].Agr Forest Meteorol,2011,151:449-460.
[25] Jones P,Harpham C,Harris I,et al.Long-term trends in precipitation and temperature across the Caribbean[J].Int J Climatol,2016,36:3314-3333.
[26] 魏凤英.现代气候统计诊断与预测技术[M].北京:气象出版社,1999:49-50.
[27] 符淙斌,王强.气候突变的定义和检测方法[J].大气科学,1992,16(4):482-493.
[28] Huang J,Guan X,Ji F,et al.Enhanced cold-season warming in semi-arid regions[J].Atmos Chem Phys,2012,12:5391-5398.
[29] 唐国利,罗勇,黄建斌,等.气候变暖在继续[J].气候变化研究进展,2012,8(4):235-242.
[30] 林学椿,于淑秋,唐国利.中国近百年温度序列[J].大气科学,1995,19(5):525-534.
[31] 王绍武.近百年中国气候变化的研究[J].中国科学基金,1998,12(3):167-17.
[32] 屠其璞,邓自旺,周晓兰.中国近117年年平均气温变化的区域特征研究[J].应用气象学报,1999,10(S1):35-43.
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备注/Memo
收稿日期:2021-07-11
基金项目:国家自然科学基金资助项目(42005071); 干旱气象科学研究基金资助项目(IAM202101)