新疆区域高空气温变化特征分析

doi:10.13866/j.azr.2021.01.15

Abstract

Abstract:

Here, we analyzed the mean annual variations in upper-air temperature features in the Xinjiang region with the NCEP/NCAR reanalysis dataset. We used stepwise regression to interpolate the missing values in the measured data and verified them using a cross-validation method. We analyzed the change in upper-air temperature both in the coldest (January) and the warmest (July) months. Additionally, we verified the NCEP/NCAR data’s accuracy in both January and July with the upper-air measured data. The results indicated that the measured data can describe the upper-air temperature in Xinjiang more accurately after interpolation. We examined the average temperature trends in the troposphere (at the bottom, middle, and upper layers) and the lower stratosphere on both the coldest and warmest months and throughout the year. As the height rises, the temperature trend changes from warming to cooling temperatures. The critical height at which the temperature trend reverses is higher during the warmer months. In most years after 2000, the air temperature exhibited a warm anomaly in the troposphere a cold anomaly in the lower stratosphere. The turning point in the annual mean temperature anomaly, which turned from cold to warm, occurred in 1996 at both 850 hPa and 700 hPa levels. However, between 1995 and 1997, it happened at the 100 hPa level, showing a warm to cold trend. The temperature anomaly did not change abruptly between 500 hPa and 300 hPa. The NCEP/NCAR data and measured data in January and July had a correlation coefficient mostly above 0.9, indicating a relatively small error.

Key words: upper-air temperature, climate change, Xinjiang region

ZHANG Liancheng,ZHANG Taixi,MAO Weiyi,SI Jiayi,ZHANG Tongwen,WANG Shengli. Analysis of the upper-air temperature change in Xinjiang region[J].Arid Zone Research, 2021, 38(1): 133-143.

Figures/Tables 9

Tab.1

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Tab. 2

Error statistics table of missing data interpolation reconstruction in January and July of Xinjiang sounding station"

缺测年份	站点	等压面	月份	MAE	RMSE	回归模型	复相关系数
1962	库车	850 hPa	1月	0.30	0.38	0.838库尔勒+0.225喀什+0.813	0.97
1968	哈密	850 hPa		0.46	0.54	0.751库尔勒+0.239阿勒泰-0.424	0.96
1962	库车	700 hPa		0.26	0.30	0.73库尔勒+0.165喀什+0.112*伊宁市-0.007	0.99
1968	哈密	700 hPa		0.37	0.49	0.446若羌+0.644北塔山-0.097*乌鲁木齐-0.977	0.97
1962	库车	500 hPa		0.21	0.27	0.751库尔勒+0.307喀什+1.209	0.99
1968	哈密	500 hPa		0.29	0.35	0.595北塔山+0.659若羌-0.209和田+0.986	0.97
1968	乌鲁木齐	300 hPa		0.47	0.57	0.669库尔勒+0.412北塔山+3.946	0.91
1962	库车			0.31	0.41	0.773库尔勒+0.251喀什+1.029	0.92
1968	哈密			0.27	0.32	0.565北塔山+0.376若羌-3.227	0.92
1981	伊宁	100 hPa		0.21	0.25	0.438克拉玛依+0.283乌鲁木齐+0.179*北塔山-5.878	0.98
1996—1999	塔城			0.68	0.94	0.752*克拉玛依-14.645	0.76
2000	哈密			0.27	0.32	0.423北塔山+0.367若羌+0.243*喀什+2.82	0.97
1974	库车	850 hPa	7月	0.31	0.38	0.745库尔勒+0.242喀什+0.358	0.95
1968	哈密	850 hPa		0.38	0.49	0.915*库尔勒+8.735	0.91
1974	库车	700 hPa		0.19	0.25	0.569库尔勒+0.218喀什+0.244*伊宁市+0.461	0.97
1968	哈密	700 hPa		0.38	0.50	0.599北塔山+0.426库尔勒+1.4	0.90
1974	库车	500 hPa		0.16	0.20	0.292库尔勒+0.406伊宁市-0.255阿勒泰+0.367北塔山+0.124*喀什-0.443	0.97
1968	哈密	500 hPa		0.34	0.43	0.641北塔山+0.361若羌+0.155	0.92
1974	库车	300 hPa		0.38	0.47	0.647库尔勒+0.383伊宁市+1.853	0.97
1968	哈密	300 hPa		0.54	0.69	0.556北塔山+0.442若羌-0.693	0.92
1997	阿勒泰	100 hPa		0.45	0.57	0.609北塔山+0.443塔城+5.289	0.92
2001—2002	哈密			0.51	0.61	0.434阿勒泰+0.75若羌+0.179*乌鲁木齐+23.495	0.92
1981、1983	和田			0.43	0.54	0.576若羌+0.411喀什-3.277	0.89
1995、2000	喀什			0.61	0.81	1.032和田-0.613若羌+0.456*库车-6.986	0.82
1981	库车			0.36	0.49	0.909库尔勒+0.409伊宁-0.236*哈密+4.271	0.94
1990	库尔勒			0.29	0.37	0.192乌鲁木齐+0.467库车+0.366*若羌+2.339	0.97
1995	若羌			0.38	0.49	0.446哈密+0.437和田-9.496	0.92
1997—1998	塔城			0.39	0.49	0.601乌鲁木齐-0.502若羌+0.458*克拉玛依-27.517	0.93
2000	伊宁			0.37	0.50	0.675克拉玛依+0.201喀什-7.342	0.90

Tab. 2

Fig. 5

Tab. 3

Tab. 4

References 25

[1]	谢潇. 全球变暧背景下多种资料的高空温度特征分析[D]. 南京: 南京信息工程大学, 2012.
	[ Xie Xiao. Features of Upper-Level Air Temperature from Different Kinds of Datasets on the Background of Global Warming[D]. Nanjing: Nanjing University of Information Science & Technology, 2012. ]
[2]	翟盘茂, 郭艳君. 高空大气温度变化研究[J]. 气候变化研究进展, 2006,2(5):228-232.
	[ Zhai Panmao, Guo Yanjun. A sutdy of upper aire tmperautre change[J]. Advances in Climate Change Research, 2006,2(5):228-232. ]
[3]	薛德强, 谈哲敏, 龚佃利, 等. 近40年中国高空温度变化的初步分析[J]. 高原气象, 2007,26(1):141-149.
	[ Xue Deqiang, Tan Zhemin, Gong Tianli, et al. Primary analyses of upper-air temperature changes in china in past 40 years[J]. Plateau Meteorological, 2007,26(1):141-149. ]
[4]	丁一汇, 任国玉, 石广玉, 等. 气候变化国家评估报告(I): 中国气候变化的历史和未来趋势[J]. 气候变化研究进展, 2006,2(1):3-8.
	[ Ding Yihui, Ren Guoyu, Shi Guangyu, et al. National assessment reportof climate change I : Climate change in China and its future trend[J]. Advances in Climate Change Research, 2006,2(1):3-8. ]
[5]	张金峰. 哈尔滨市高空气候要素变化规律分析[D]. 哈尔滨: 哈尔滨师范大学, 2010.
	[ Zhang Jinfeng. Study on High Altitude Variation of Climate Elements in Harbin[D]. Harbin: Harbin Normal University, 2010. ]
[6]	谢潇, 祁莉, 何金海. 1980—2009年中国东部上空温度变化特征[J]. 气候变化研究进展, 2013,9(2):102-109.
	[ Xie Xiao, Qi Li, He Jinhai. An analysis on upper-air temperature over eastern china during 1980-2009[J]. Advances in Climate Change Research, 2019,9(2):102-109. ]
[7]	郭艳君, 李庆祥, 丁一汇. 探空资料中的人为误差对中国温度长期变化趋势的影响[J]. 大气科学, 2009,33(6):1309-1318.
	[ Guo Yanjun, Li Qingxiang, Ding Yihui. The effect of artificial bias on free air temperature trend derived from historical radiosonde data in China[J]. Chinese Journal of Atmospheric Sciences, 2009,33(6):1309-1318. ]
[8]	秦大河, 陈振林, 罗勇, 等. 气候变化科学的最新认知[J]. 气候变化研究进展, 2007,3(2):63-73.
	[ Qin Dahe, Chen Zhenlin, Luo Yong, et al. Updated understanding of climate change sciences[J]. Advances in Climate Change Research, 2007,3(2):63-73. ]
[9]	Free M, Seidel D J. Causes of differing temperature trends in radiosonde upper air data sets[J]. Journal Geophysical Research Atmospheres, 2005,110(D7):7101-7115.
[10]	Oort A H, Liu H. Upper-air temperature trends over the globe, 1958-1989[J]. Journal of Climate, 1993,6(2):292-307.
[11]	陈芳, 马英芳, 金慧瑛. 高空温度、高度变化特征及其与地面气温的相关分析[J]. 气象科技, 2005,33(2):163-167.
	[ Chen Fang, Ma Yingfang, Jin Huiying. Upper-level height and temperature change characteristics and its correlation with surface temperature[J]. Meteorological Science and Technology, 2005,33(2):163-167. ]
[12]	姜逢清, 胡汝骥. 近50年来新疆气候变化与洪、旱灾害扩大化[J]. 中国沙漠, 2004,24(1):35-40.
	[ Jiang Fengqing, Hu Ruji. Climate change and flood & drought disasters in Xinjiang during recent 50 years[J]. Journal of Desert Research, 2004,24(1):35-40. ]
[13]	江远安, 尹宜舟, 陈鹏翔, 等. 1961—2014年新疆降水极值概率特征及拟合不确定性分析[J]. 气候变化研究进展, 2017,13(1):52-60.
	[ Jiang Yuanan, Yin Yizhou, Chen Pengxiang, et al. Study on probabilistic characteristic and uncertainty in fitting of precipitation extremes over Xinjiang during 1961-2014[J]. Climate Change Research, 2017,13(1):52-60. ]
[14]	张广兴, 赵玲, 孙淑芳. 新疆1961—2000年高空温度变化若干事实及突变分析[J]. 中国沙漠, 2008,28(5):908-917.
	[ Zhang Guangxing, Zhao Ling, Sun Shufang. Analysis of some facts and abrupt change of upper air temperature in Xinjiang during 1961-2000[J]. Journal of Desert Research, 2008,28(5):908-917. ]
[15]	柏玲, 陈忠升, 王祖静, 等. 1980—2013 年新疆高空大气温度变化特征[J]. 地理科学, 2016,36(3):458-465.
	[ Bai Ling, Chen Zhongsheng, Wang Zujing, et al. Upper-air temperature change of Xinjiang during 1980-2013[J]. Scientia Geographica Sinica, 2016,36(3):458-465. ]
[16]	侯玲红, 杨霞, 邢芝芳, 等. 喀什1971—2010年高空温度气候变化特征分析[J]. 沙漠与绿洲气象, 2011,5(6):42-45.
	[ Hou Linghong, Yang Xia, Xing Zhifang, et al. Climate characteristics of the upper-air temperature in Kashi from 1971 to 2010[J]. Desert and Oasis Meteorology, 2011,5(6):42-45. ]
[17]	Thomas C D, Cameron A, Green R E, et al. Extinction risk from climate change[J]. Nature, 2004,427(6970):145-148. pmid: 14712274
[18]	张扬, 楚新正, 杨少敏, 等. 近56 a新疆北部地区气候变化特征[J]. 干旱区研究, 2019,36(1):212-219.
	[ Zhang Yang, Chu Xinzheng, Yang Shaomin, et al. Climate change in North Xinjiang in recent 56 years[J]. Arid Zone Research, 2019,36(1):212-219. ]
[19]	刘伟, 姜逢清, 李小兰. 新疆气候变化的适应能力时空演化特征[J]. 干旱区研究, 2017,34(3):531-540.
	[ Liu Wei, Jiang Fengqing, Li Xiaolan. Spatiotemporal evolution of adaptive capacity to climate change in Xinjiang[J]. Arid Zone Research, 2017,34(3):531-540. ]
[20]	贺晋云, 张明军, 王鹏, 等. 新疆气候变化研究进展[J]. 干旱区研究, 2011,28(3):499-508.
	[ He Jinyun, Zhang Mingjun, Wang Peng, et al. New progress of the study on climate change in Xinjiang[J]. Arid Zone Research, 2011,28(3):499-508. ]
[21]	支星, 徐海明. 3种再分析资料的高空温度与中国探空温度资料的对比: 年平均特征[J]. 大气科学学报, 2013,36(1):77-87.
	[ Zhi Xing, Xu Haiming. Comparative analysis of free atmospheric temperature between three reanalysis datasets and radiosonde dataset in China: Annual mean characteristic[J]. Transactions of Atmospheric Sciences, 2013,36(1) : 77-87. ]
[22]	周顺武, 张人禾. 青藏高原地区上空NCEP/NCAR再分析温度和位势高度资料与观测资料的比较分析[J]. 气候与环境研究, 2009,14(3):284-292.
	[ Zhou Shunwu, Zhang Renhe. Comparison of NCEP/ NCAR reanalysis data and radiosonde data about temperature and geopot ential height of upper air over the Tibet an Plateau[J]. Climatic and Environmental Research, 2009,14(3):284-292. ]
[23]	游士兵, 严研. 逐步回归分析法及其应用[J]. 统计与决策, 2017,14(5):21-35.
	[ You Shibing, Yan Yan. Stepwise regression analysis and its application[J]. Decision and statistics, 2017,14(5):21-35. ]
[24]	林忠辉, 莫兴国, 李宏轩, 等. 中国陆地地区气象要素的空间插值[J]. 地理学报, 2002,57(1):47-56.
	[ Lin Zhonghui, Mo Xingguo, Li Hongxuan, et al. Comparison of three spatial interpolation methods for climate variables in China[J]. Acta Geographica Sinica, 2002,57(1):47-56. ]
[25]	杨义, 舒和平, 马金珠, 等. 基于Mann-Kendall法和小波分析中小尺度多年气候变化特征研究——以甘肃省白银市近50年气候变化为例[J]. 干旱区资源与环境, 2017,31(5):126-131.
	[ Yang Yi, Shu Heping, Ma Jinzhu, et al. Small and medium scale of climatic variation characteristics of Baiyin city, Gansu Province[J]. Journal of Arid Land Resources and Environment, 2017,31(5):126-131. ]

	08：00	20：00
塔城	-	1961—1965
北塔山	-	1961—1980
伊宁	-	1961—1965
库尔勒	-	1961—1971
哈密	-	1961—1965
克拉玛依	1968—1971	1961—1973
阿克苏	1961—1985	-
民丰	1961—1998	-

Analysis of the upper-air temperature change in Xinjiang region

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等压面	月份	阿勒泰	塔城	北塔山	伊宁市	乌鲁木齐	库车	库尔勒	喀什	若羌	和田	哈密	克拉玛依	全疆
850 hPa	1月	0.44	0.96	-	0.93	0.93	0.80	0.80	0.64	0.73	0.59	0.86	-	0.90
700 hPa		0.97	0.98	0.97	0.98	0.98	0.95	0.96	0.86	0.98	0.69	0.97	-	0.97
500 hPa		0.98	0.98	0.97	0.96	0.94	0.96	0.97	0.92	0.92	0.86	0.97	-	0.97
300 hPa		0.37	0.39	0.46	0.47	0.52	0.54	0.52	0.36	0.50	0.30	0.54	-	0.54
100 hPa		0.97	0.74	0.91	0.93	0.96	0.94	0.94	0.95	0.93	0.93	0.96	0.95	0.97
850 hPa	7月	0.90	0.86	-	0.71	0.86	0.60	0.61	0.35	0.44	0.50	0.80	-	0.80
700 hPa		0.90	0.94	0.88	0.94	0.84	0.87	0.89	0.67	0.78	0.56	0.91	-	0.90
500 hPa		0.88	0.91	0.90	0.86	0.85	0.88	0.93	0.91	0.94	0.87	0.90	-	0.93
300 hPa		0.89	0.93	0.93	0.94	0.90	0.97	0.95	0.96	0.95	0.87	0.93	-	0.97
100 hPa		0.97	0.90	0.93	0.85	0.94	0.86	0.91	0.90	0.93	0.85	0.98	0.91	0.96

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