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[1]HAN Huiqing,ZHANG Jiaoyan,SU Zhihua,et al.Spatial and Temporal Variations of Extreme Climate Indices in Guizhou Province from 2011 to 2050[J].Research of Soil and Water Conservation,2018,25(02):341-346.

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Spatial and Temporal Variations of Extreme Climate Indices in Guizhou Province from 2011 to 2050

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 25 Number of periods: 2018 02 Page number: 341-346 Column: Public date: 2018-04-03

Title:: Spatial and Temporal Variations of Extreme Climate Indices in Guizhou Province from 2011 to 2050

Author(s):: HAN Huiqing¹, ZHANG Jiaoyan², SU Zhihua³, LU Yi¹; 1. College of Architecture and Urban Planning, Guizhou Institute of Technology, Guiyang 550003, China;
2. Guizhou Climate Center, Guiyang 550002, China;
3. School of Management Science, Guizhou University of Finance and Economics, Guiyang 550025, China

Keywords:: extreme climate indices; spatial pattern; change trend; Guizhou Province

CLC:: P467

DOI:: -

Abstract:: In order to explore the future change trend and spatial pattern of extreme climate in Guizhou Province, this paper predicted daily precipitation, daily maximum temperature and daily minimum temperature from 2011 to 2050 by using the method of NCC/GU-WG Version 2.0 model of weather generator in China and analyzed spatial and temporal variations of extreme climate indices from 2011 to 2050 in Guizhou Province by the way of trend analysis and the software of ArcGIS. The results show that extreme climate indices including TXx, TNn, TX90p and WSDI will increase 0.1℃, 0.03℃, 0.23 d and 0.4 d per decade, respectively, while extreme climate indices including TX10p and CSDI will decrease 0.1 d and 0.26 d per decade, respectively, from 2011 to 2050; extreme climate indices including R5D, R95T, SDⅡ and CDD will increase 1.02 mm, 1.31 mm, 5.63 mm, 0.01 mm/d and 0.05 d per decade, respectively, while extreme climate index including CWD will decrease 0.11 d per decade from 2011 to 2050. There were spatial heterogeneities for extreme climate indices and their change trends. Climate warming and terrain are dominant factors affecting variation of extreme climate indices in Guizhou Province.

References:: [1] 高妍,冯起,李宗省,等.祁连山讨赖河流域1957-2012年极端气候变化[J].中国沙漠,2014,34(3):814-826.
[2] 徐集云,石英,高学杰,等. RegCM3对中国21世纪极端气候事件变化的高分辨率模拟[J].科学通报,2013,58(8):724-733.
[3] Mutiibwa D, Vavrus S J, McAfee S A, et al. Recent spatiotemporal patterns in temperature extremes across conterminous United States[J]. Journal of Geophysical Research:Atmospheres, 2015,120:7378-7392.
[4] 张磊磊,康颖,张建云,等.近50年来黄河源区极端气候事件趋势分析[J].水电能源科学,2015,33(2):6-9.
[5] Beniston M, Stephenson D B, Christensen O B, et al. Future extreme events in European climate:an exploration of regional climate model projections[J]. Climatic Change, 2007,81:71-95.
[6] Jiang Z L, Song J, Li L, et al. Extreme climate events in China:IPCC-AR4 model evaluation and projection[J]. Climatic Change, 2012,110:385-401.
[7] Jones A R, Bull C M, Brook B W, et al. Tick exposure and extreme climate events impact survival and threaten the persistence of a long-lived lizard[J]. Journal of Animal Ecology, 2016,85(2):598-610.
[8] John R, Chen J Q, OuYang Z T, et al. Vegetation response to extreme climate events on the Mongolian Plateau from 2000 to 2010[J]. Environmental Research Letters, 2013,8:1-12.
[9] 刘琳,徐宗学.西南5省市极端气候指数时空分布规律研究[J].长江流域资源与环境,2014,23(2):294-301.
[10] 陈学凯,雷宏军,徐建新,等.气候变化背景下贵州省农作物生长期干旱时空变化规律[J].自然资源学报,2015,30(10):1735-1749.
[11] Peterson T C, Folland C, Gruza G, et al. Report on the Activities of the Working Group on Climate Change Detection and Related Rapporteurs 1998-2001[M]. Southampto, UK:International CLⅣAR Project Office, 2001.
[12] 曹祥会,龙怀玉,张继宗,等.河北省主要极端气候指数的时空变化特征[J].中国农业气象,2015,36(3):245-253.
[13] 杨艳娟,任雨,郭军.1951-2009年天津市主要极端气候指数变化趋势[J].气象与环境学报,2011,27(5):21-26.
[14] 张延伟,李红忠,魏文寿,等.1961-2010年北疆地区极端气候事件变化[J].中国沙漠,2013,33(6):1891-1897.
[15] Liao Y M, Zhang Q, Chen D. Stochastic modeling of daily precipitation in China[J]. Journal of Geographical Sciences, 2004,14(4):417-426.
[16] 廖要明,张强,陈德亮.中国天气发生器的降水模拟[J].地理学报,2004,59(5):689-698.
[17] 廖要明,刘绿柳,陈德亮,等.中国天气发生器模拟非降水变量的效果评估[J].气象学报,2011,69(2):310-319.
[18] 李生辰,徐亮,郭英香,等.近34 a青藏高原年降水变化及其分区[J].中国沙漠,2007,27(2):307-314.
[19] 覃卫坚,李栋梁.近50 a来广西各级降水气候变化特征分析[J].自然资源学报,2014,29(4):666-676.
[20] 曹永旺,延军平.1961-2013年山西省极端气候事件时空演变特征[J].资源科学,2015,37(10):2086-2098.
[21] 王冀,江志红,丁裕国,等.21世纪中国极端气温指数变化情况预估[J].资源科学,2008,30(7):1084-1092.
[22] 陈晓晨,徐影,姚遥.不同升温阈值下中国地区极端气候事件变化预估[J].大气科学,2015,39(6):1123-1135.
[23] 陈威霖,江志红,黄强.基于统计降尺度模型的江淮流域极端气候的模拟与预估[J].大气科学学报,2012,35(5):578-590.
[24] 黄金龙,陶辉,苏布达,等.塔里木河流域极端气候事件模拟与RCP4.5情景下的预估研究[J].干旱区地理,2014,37(3):490-498.
[25] 王永超,焦树林,黄福卫.西南喀斯特地区农业旱灾脆弱性评价研究[J].贵州师范大学学报:自然科学版,2016,34(3):13-17.

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