增温增湿环境下天山山区降雪量变化

doi:10.13249/j.cnki.sgs.2018.11.021

地理科学 ›› 2018, Vol. 38 ›› Issue (11): 1933-1942.doi: 10.13249/j.cnki.sgs.2018.11.021

• • 上一篇

增温增湿环境下天山山区降雪量变化

邓海军^1,^2,^4,⁵(), 陈亚宁², 陈忠升³

1.福建省陆地灾害监测评估工程技术研究中心,福建福州 350007
2.中国科学院新疆生态与地理研究所荒漠与绿洲生态国家重点实验室,新疆乌鲁木齐 830011
3.西华师范大学国土资源学院,四川南充 637002
4.湿润亚热带山地生态国家重点实验室培育基地,福建福州 350007
5.福建师范大学地理科学学院,福建福州 350007

收稿日期:2017-11-20 修回日期:2018-03-12 出版日期:2018-11-20 发布日期:2018-11-20
作者简介:
作者简介：邓海军(1987-),男,湖南隆回人,博士,讲师,主要从事山区气候水文过程及流域水循环研究。E-mail: denghj@fjnu.edu.cn
基金资助:
国家自然科学基金项目 (41807159)资助

Changes of Snowfall Under Warmer and Wetter in the Tianshan Mountains

Haijun Deng^1,^2,^4,⁵(), Yaning Chen², Zhongsheng Chen³

1.College of Geographical Sciences, Fujian Normal University, Fuzhou 350007, Fujian, China
2.State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, Xinjiang, hina
3. College of Land and Resources, China West Normal University, Nanchong 637002, Sichuan, China
4. Fujian Provincial ngineering Research Center for Monitoring and Assessing Terrestrial Disasters, Fuzhou 350007, Fujian, China
5. State Key Laboratory Breeding Base of Humid Subtropical Mountain Ecology, Fuzhou 350007, Fujian, China

Received:2017-11-20 Revised:2018-03-12 Online:2018-11-20 Published:2018-11-20
Supported by:
National Natural Science Foundation of China(41807159)

摘要/Abstract

摘要：

基于APHRO’s气温和降水数据集,运用气温阈值模型,分析了1961~2015年间天山山区降雪量变化特征。研究表明,自1961年以来,天山山区升温趋势显著,速率为0.027℃/a,且冬半年的升温速度大于夏半年。同时,3 000 m海拔以上区域的平均气温上升到0℃左右。冬季降水的增加速率为0.42 mm/a（P<0.01）,春季和夏季的降水量呈减少趋势。降雪量变化时空差异显著,3 000 m海拔以上区域降雪随气温的升高而增加,而3 000 m以下区域降雪随气温的升高而减少。最大降雪量气温是控制降雪变化的关键因子,当平均气温低于最大降雪量气温时,随气温升高降雪量呈增加趋势;当平均气温高于最大降雪量气温时,随气温升高降雪量呈减少趋势。

关键词: 气候变化, 降雪, 气温阈值模型, 天山山区

Abstract:

Snow as a land-cover type that is mainly distributed at the high latitude and high altitude regions. Snowfall, as are main precipitation type in mountainous areas, presents significant temporal and spatial difference which was affected by climate change. In this study, based on APHRO’s dataset and temperature threshold model to analyze snowfall changes in the Tianshan Mountains during 1961-2015. Results indicated that: 1) Temperature showed increasing trend in the Tianshan Mountains since 1961, with a rate of 0.027℃/a. And temperature increase rate in winter was higher than that in summer. Meanwhile, the average air temperature of elevation above 3 000 m is rise to around 0℃ during 1961-2015. 2) Precipitation exhibited significant increasing with a rate of 0.42 mm/a (P<0.01) in winter, while decrease in spring and summer. 3) Snowfall changes were characterized by temporal and spatial variations. Snowfall presented positive relationship with air temperature in the regions with elevation over 3 000 m, while negative relationship in regions with elevation below 3 000 m. 4) Maximum snowfall temperature is a key factor to understanding changes of snowfall under warming. When mean temperature is below/above maximum snowfall temperature, snowfall usually increases/decreases with increased warming. Therefore, study on the snowfall variations in mountainous areas can be very helpful to understand the effects of climate change on hydrology process in mountainous areas.

Key words: climate change, snowfall, temperature threshold model, the Tianshan Mountains

中图分类号:

P467

邓海军, 陈亚宁, 陈忠升. 增温增湿环境下天山山区降雪量变化[J]. 地理科学, 2018, 38(11): 1933-1942.

Haijun Deng, Yaning Chen, Zhongsheng Chen. Changes of Snowfall Under Warmer and Wetter in the Tianshan Mountains[J]. SCIENTIA GEOGRAPHICA SINICA, 2018, 38(11): 1933-1942.

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参考文献 42

[1]	Hartmann D L, AMG Klein Tank, M Rusticucci. et al. 2013: Observations:Atmosphere and surface. In: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Stocker TF, D Qin, G-K Plattner, M Tignor, SK Allen, J Boschung, A Nauels, Y Xia, V Bex and PM Midgley (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA.
[2]	Berghuijs W R, Woods R A, Hrachowitz M.A precipitation shift from snow towards rain leads to a decrease in streamflow. Nature Climate Change, 2014, 4(7):583-586. doi: 10.1038/nclimate2246
[3]	Barnett T P, Adam J C, Lettenmaier D P.Potential impacts of a warming climate on water availability in snow-dominated regions[J]. Nature, 2005, 438(7066):303-309. doi: 10.1038/nature04141
[4]	Räisänen J.Warmer climate: less or more snow?[J]. Clim Dyn, 2008, 30(2):307-319. doi: 10.1007/s00382-007-0289-y
[5]	李宝福, 陈亚宁, 陈忠升, 等. 西北干旱区山区融雪期气候变化对径流量的影响[J]. 地理学报, 2012, 67(11): 1461-1470. doi: 10.1007/s11783-011-0280-z
	[Li Baofu, Chen Yaning, Chen Zhongsheng. et al. The effect of climate change during snowmelt period on streamflow in the mountainous areas of Northwest China. Acta Geographica Sinica, 2012, 67(11): 1461-1470.] doi: 10.1007/s11783-011-0280-z
[6]	Bocchieri J R.The objective use of upper air soundings to specify precipitation type[J]. Monthly Weather Review, 1980, 108(5):596-603. doi: 10.1175/1520-0493(1980)108<0596:TOUOUA>2.0.CO;2
[7]	Schuur T J, Park H S, Ryzhkov A V. et al. Classification of precipitation types during transitional winter weather using the RUC Model and polarimetric radar retrievals[J]. Journal of Applied Meteorology and Climatology, 2012, 51(4):763-779. doi: 10.1175/JAMC-D-11-091.1
[8]	Thériault J M, Stewart R E, Milbrandt J Aet al. On the simulation of winter precipitation types[J]. Journal of Geophysical Research: Atmospheres, 2006, (11:D18202). doi: 10.1029/2005JD006665
[9]	Clark M P, Slater A G, Barrett A P. et al. Assimilation of snow covered area information into hydrologic and land-surface models[J]. Advances in Water Resources, 2006, 29(8):1209-1221. doi: 10.1016/j.advwatres.2005.10.001
[10]	Gustafsson D, Stähli M, Jansson P E.The surface energy balance of a snow cover: Comparing measurements to two differentsimulation models[J]. Theor Appl Climatol, 2001,70(1):81-96. doi: 10.1007/s007040170007
[11]	Stewart R E.Precipitation types in the transition region of winter storms[J]. Bulletin of the American Meteorological Society, 1992, 73(3):287-296. doi: 10.1175/1520-0477(1992)0732.0.CO;2
[12]	Wigmosta M S, Vail L W, Lettenmaier D P.A distributed hydrology-vegetation model for complex terrain[J]. Water Resources Research, 1994, 30(6):1665-1679. doi: 10.1029/94WR00436
[13]	Yang Z L, Dickinson R E, Robock A. et al. Validation of the snow submodel of the biosphere: atmosphere transfer scheme with Russian snow cover and meteorological observational data[J]. Journal of Climate, 1997, 10(2):353-373. doi: 10.1175/1520-0442(1997)0102.0.CO;2
[14]	Zhang G, Kang S, Fujita K. et al. Energy and mass balance of Zhadang glacier surface, central Tibetan Plateau[J]. Journal of Glaciology, 2013, 59(213):137-148. doi: 10.3189/2013JoG12J152
[15]	Ding B, Yang K, Qin J. et al. The dependence of precipitation types on surface elevation and meteorological conditions and its parameterization[J]. Journal of Hydrology, 2014, 513:154-163. doi: 10.1016/j.jhydrol.2014.03.038
[16]	Deng H, Pepin N, Chen Y.Changes of snowfall under warming in the Tibetan Plateau[J]. Journal of Geophysical Research: Atmospheres, 2017, 122(14): 7323-7341. doi: 10.1002/2017JD026524
[17]	Yasutomi N, Hamada A, Yatagai A.Development of a long-term daily gridded temperature dataset and its application to rain/snow discrimination of daily precipitation[J]. Global Environmental Research, 2011, 15(2): 165-172.
[18]	胡汝骥. 中国天山自然地理[M]. 北京: 中国环境科学出版社. 2004: 69-122.
	[Hu Ruji.Physical Geography of the Tianshan Mountains in China. Beijing: China Environmental Science Press, 2004: 69-122.]
[19]	Immerzeel W W, van Beek L P H, Bierkens M F P. Climate change will affect the Asian Water Towers[J]. Science, 2010,328(5984):1382-1385. doi: 10.1126/science.1183188 pmid: 20538947
[20]	Chen Y, Li W, Deng H. et al. Changes in central Asia’s water tower: Past, Present and Future[J]. Scientific Reports, 2016, 6:35458. doi: 10.1038/srep35458
[21]	袁晴雪, 魏文寿. 中国天山山区近40 a来的年气候变化[J]. 干旱区研究, 2006,23(1): 115-118.
	[Yuan Qingxue, Wei Wenshou.Annual climate change in the Tianshan Mountainous since recent 40 years. Arid Zone Research, 2006,23(1):115-118.]
[22]	张正勇, 刘琳, 唐湘玲. 1960~2010年中国天山山区气候变化区域差异及突变特征[J]. 地理科学进展, 2012, 31(11):1475-1487. doi: 10.11820/dlkxjz.2012.11.008
	[Zhang Zhengyong, Liu Lin, Tang Xiangling.The regional difference and abrupt events of climatic change in Tianshan Mountains during 1960-2010. Progress in Geography, 2012, 31(11):1475-1487.] doi: 10.11820/dlkxjz.2012.11.008
[23]	Deng H J, Chen Y N, Wang H J. et al. Climate change with elevation and its potential impact on water resources in the Tianshan Mountains, Central Asia[J]. Global and Planetary Change, 2015,135:28-37. doi: 10.1016/j.gloplacha.2015.09.015
[24]	徐俊荣, 仇家琪. 天山地区30年来冬季降雪波动研究[J]. 冰川冻土, 1996(S1):123-128.
	[Xu Junrong, Qiu Jiaqi.A study on snowfall variation in the Tianshan Mountains during the recent 30 winters. Journal of Glaciology and Geocryology, 1996(S1): 123-128.]
[25]	李效收, 张明军, 汪宝龙, 等. 天山地区冬季降雪量及其集中度和集中期的变化特征[J].资源科学,2012,34(8):1556-1564.
	[Li Xiaoshou, Zhang Mingjun, Wang Baolong. et al. The change characteristics of winter snowfall, snow concentration degree and concentration period in the Tianshan Mountains. Resources Science, 2012, 34(8): 1556-1564.]
[26]	李培基. 新疆积雪对气候变暖的响应[J]. 气象学报, 2001,59(4):491-501. doi: 10.3321/j.issn:0577-6619.2001.04.011
	[Li Peiji.Response of Xinjiang snow cover to climate change. Acta Meteorologica Sinica, 2001, 59(4):491-501.] doi: 10.3321/j.issn:0577-6619.2001.04.011
[27]	王杰, 张明军, 王圣杰, 等. 1961~2013年新疆雪雨比变化[J]. 干旱区研究, 2017,34(4):889-897. doi: 10.13866/j.azr.2017.04.23
	[Wang Jie, Zhang Mingjun, Wang Shengjie. et al. Change of snowfall/rainfall ratio in Xinjiang during the period of 1961-2013. Arid Zone Research, 2017, 34(4): 889-897.] doi: 10.13866/j.azr.2017.04.23
[28]	Guo L, Li L.Variation of the proportion of precipitation occurring as snow in the Tian Shan Mountains, China[J]. International Journal of Climatology, 2015, 35(7):1379-1393. doi: 10.1002/joc.4063
[29]	柏美祥, 伊索. 塔吉克斯坦吉萨尔——中国新疆阿克苏10年强震危险区的圈定研究[J]. 内陆地震, 1995, 9(3):234-241.
	[Bai Meixiang, Isuk A P.Studying seismic risk area in Jisaer (Tajikistan)-Aksu (Xinjiang, China) in the next ten years. Inland Earthquake,1995, 9(3):234-241.]
[30]	Yasutomi N, Hamada A, Yatagai A.Development of a long-term daily gridded temperature dataset and its application to rain/snow discrimination of daily precipitation[J]. Global Environmental Research, 2011, 15(2): 165-172.
[31]	Yatagai A K, Kamiguchi O Arakawa et al. APHRODITE: Constructing a long-term daily gridded precipitation dataset for Asia based on a dense network of rain gauges[J]. Bulletin of American Meteorological Society, 2012, 93(9): 1401-1415. doi: 10.1175/BAMS-D-11-00122.1
[32]	Xie P A. Yatagai M.Chen. et al. A gauge-based analysis of daily precipitation over East Asia[J]. Journal of Hydrometeorology, 2007,8: 607-627. doi: 10.1175/JHM583.1
[33]	韩振宇, 周天军. APHRODITE高分辨率逐日降水资料在中国大陆地区的适用性[J]. 大气科学, 2012, 36(2):361-373. doi: 10.3878/j.issn.1006-9895.2011.11043
	[Han Zhenyu, Zhou Tianjun.Assessing the quality of APHRODITE high-resolution daily precipitation dataset over contiguous China. Chinese Journal of Atmospheric Sciences, 36(2): 361-373.] doi: 10.3878/j.issn.1006-9895.2011.11043
[34]	Irannezhad M, Ronkanen A K, Kløve B.Wintertime climate factors controlling snow resource decline in Finland[J]. International Journal of Climatology, 2016, 36(1):110-131. doi: 10.1002/joc.4332
[35]	Hirsch R M, Slack J R.A nonparametric trend test for seasonal data with serial dependence[J]. Water Resources Research, 1984, 20(60):727-732. doi: 10.1029/WR020i006p00727
[36]	Hamed K H.Trend detection in hydrologic data: The Mann-Kendall trend test under the scaling hypothesis[J]. Journal of Hydrology, 2008, 349(3-4):350-363. doi: 10.1016/j.jhydrol.2007.11.009
[37]	Hamed K H, Ramachandra Rao A.A modified Mann-Kendall trend test for autocorrelated data[J]. Journal of Hydrology, 1998,204(1-4):182-196. doi: 10.1016/S0022-1694(97)00125-X
[38]	Yue S, Pilon P, Cavadias G.Power of the Mann-Kendall and Spearman's rho tests for detecting monotonic trends in hydrological series[J]. Journal of Hydrology, 2002, 259(1-4):254-271. doi: 10.1016/S0022-1694(01)00594-7
[39]	Jones P D, New M, Parker D E. et al. Surface air temperature and its changes over the past 150 years[J]. Reviews of Geophysics, 1999, 37(2): 173-199. doi: 10.1029/1999RG900002
[40]	张雪婷, 李雪梅, 高培, 等. 基于不同方法的中国天山山区降水形态分离研究[J]. 冰川冻土, 2017, 39(2): 235-244. doi: 10.7522/j.issn.1000-0240.2017.0027
	[Zhang Xueting, Li Xuemei, Gao Pei. et al. Separation of precipitation forms based on different methods in Tianshan mountainous area, Northwest China. Journal of Glaciology and Geocryology, 2017, 39(2): 235-244.] doi: 10.7522/j.issn.1000-0240.2017.0027
[41]	Zhu Xiaofan, Wu Tonghua, Li Ren. et al. Characteristics of the ratios of snow, rain and sleet to precipitation on the Qinghai-Tibet Plateau during 1961-2014[J]. Quaternary International, 2017, 444:137-150. doi: 10.1016/j.quaint.2016.07.030
[42]	Ding B, Yang K, Qin J. et al. The dependence of precipitation types on surface elevation and meteorological conditions and its parameterization[J]. Journal of Hydrology, 2014,513:154-163. doi: 10.1016/j.jhydrol.2014.03.038

变量	格点				区域
变量	RMSE	格点数	MAPD	格点数	R²	RMSE	MAPD
气温	< 2℃	1064/1276	< 0.25	775/1276	0.99	1.35	0.29
降水量	< 3 mm	684/1276	< 1.3	831/1276	0.57	3.28	1.29

	平均值±标准差(℃)	趋势(℃/a)	Z值	显著性
年均	4.53±0.78	0.027	4.18	^***
冬季	-10.6±1.53	0.034	2.52	^**
春季	5.43±1.16	0.032	2.91	^***
夏季	16.27±0.59	0.019	3.37	^***
秋季	4.32±0.98	0.023	2.97	^***

	平均值±标准差(mm)	趋势(mm/a)	Z值	显著性
年均	278.7±42.9	0.13	0.69	-
冬季	40.29±11.57	0.42	4.28	^***
春季	86.4±20.3	-0.35	-1.67	^*
夏季	79.6±17.8	-0.12	-0.81	-
秋季	51.6±14.8	0.24	1.77	^*

区域	研究方法	时间序列	数据源	主要结论	文献来源
天山	双阈值气温模型	1961~2015年	格点数据	冬季呈增加趋势;高海拔区域呈增加趋势	本文
	将雨雪混合全部归为降雪	1961~2010年	站点数据	降雪呈增加趋势;雪雨比呈减少趋势	[28]
	频率求交法和概率保证法	1950s~2014年	站点数据	雪雨比的变化范围为 0.02~1.79,随着海拔的升高而增大	[40]
青藏高原	双阈值气温模型	1961~2014年	站点数据	最大降雪量气温是控制降雪变化的关键因子	[16]
	双阈值气温模型	1961~2014年	站点数据	降雪变化与下垫面性质密切相关	[41,42]

增温增湿环境下天山山区降雪量变化

Changes of Snowfall Under Warmer and Wetter in the Tianshan Mountains

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高度带	a+b+c+d	e	f	h	i	j	l
A	25	26	62	0	304	0	6
B	113	19	88	0	310	1	23
C	74	13	16	1	141	0	54

高度带	a+b+c+d	e	f	h	i	j	k	l
冬季	149	40	368	0	583	0	2	134
春季	987	36	0	0	219	4	3	27
夏季	608	18	0	3	610	28	9	0
秋季	239	91	18	1	882	0	5	40