Sciences in Cold and Arid Regions ›› 2015, Vol. 7 ›› Issue (2): 170–179.doi: 10.3724/SP.J.1226.2015.00170

• ARTICLES • 上一篇    

Assessing changes in extreme precipitation over Xinjiang using regional climate model of PRECIS

YanWei Zhang1,2,3, QuanSheng Ge1, FengQing Jiang4, JingYun Zheng1, WenShou Wei4   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
    2. College of Environment and Planning, Shangqiu Normal University, Shangqiu, Henan 476000, China;
    3. College of Geographical Science, Shanxi Normal University, Linfen 041000, Shanxi, China;
    4. Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang 830011, China
  • 收稿日期:2014-03-19 修回日期:2014-07-17 发布日期:2018-11-23
  • 通讯作者: Dr. QuanSheng Ge, Professor of Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences. No. 11, Datun Road, Beijing 100101, China. E-mail: geqs@igsnrr.ac.cn E-mail:geqs@igsnrr.ac.cn
  • 基金资助:
    The research presented in this article was jointly funded by Henan Province Office of education of Humanities and social science research projects (2014-qn-151); the "Western Light" Project (RCPY200902) of the Chinese Academy of Sciences; the special scientific research project (GYHY200706008); the project of National Social Science Foundation (14CJY077); Science and Technology Department of Henan Province key scientific and technological project (142102310299); and the National Natural Science Foundation (41171066) of Xinjiang Institute of Ecology and Geography.

Assessing changes in extreme precipitation over Xinjiang using regional climate model of PRECIS

YanWei Zhang1,2,3, QuanSheng Ge1, FengQing Jiang4, JingYun Zheng1, WenShou Wei4   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
    2. College of Environment and Planning, Shangqiu Normal University, Shangqiu, Henan 476000, China;
    3. College of Geographical Science, Shanxi Normal University, Linfen 041000, Shanxi, China;
    4. Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang 830011, China
  • Received:2014-03-19 Revised:2014-07-17 Published:2018-11-23
  • Contact: Dr. QuanSheng Ge, Professor of Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences. No. 11, Datun Road, Beijing 100101, China. E-mail: geqs@igsnrr.ac.cn E-mail:geqs@igsnrr.ac.cn
  • Supported by:
    The research presented in this article was jointly funded by Henan Province Office of education of Humanities and social science research projects (2014-qn-151); the "Western Light" Project (RCPY200902) of the Chinese Academy of Sciences; the special scientific research project (GYHY200706008); the project of National Social Science Foundation (14CJY077); Science and Technology Department of Henan Province key scientific and technological project (142102310299); and the National Natural Science Foundation (41171066) of Xinjiang Institute of Ecology and Geography.

摘要: In this paper, an analysis, with the simulation of PRECIS (Providing Regional Climate for Impact Studies), was made for future precipitation extremes, under SRES (Special Report on Emission Scenarios) A2 and B2 in IPCC (Intergovernmental Panel on Climate Change) AR4. The precipitation extremes were calculated and analyzed by ETCCDI (Climate Change Detection and Indices). The results show that: (1) In Present Scenario (1961-1900), PRECIS could capture the spatial pattern of precipitation in Xinjiang. (2) The simulated annual precipitation and seasonal precipitation in Xinjiang had a significantly positive trend and its variability had been deeply impacted by terrain. There was a strong association between increasing trend and the extreme precipitation's increase in frequency and intensity during 1961-2008. Under SRES A2 and B2, extreme precipitation indicated an increasing tendency at the end of the 21st century. The extreme summer precipitation increased prominently in a year. (3) PRECIS's simulation under SRES A2 and B2 indicated increased frequency of heavy precipitation events and also enhancement in their intensity towards the end of the 21st century. Both A2 and B2 scenarios show similar patterns of projected changes in precipitation extremes towards the end of the 21st century. However, the magnitude of changes in B2 scenario was on the lower side. In case of extreme precipitation, variation between models can exceed both internal variability and variability of different SRES.

关键词: climate change, PRECIS, Xinjiang, extreme precipitation, IPCC

Abstract: In this paper, an analysis, with the simulation of PRECIS (Providing Regional Climate for Impact Studies), was made for future precipitation extremes, under SRES (Special Report on Emission Scenarios) A2 and B2 in IPCC (Intergovernmental Panel on Climate Change) AR4. The precipitation extremes were calculated and analyzed by ETCCDI (Climate Change Detection and Indices). The results show that: (1) In Present Scenario (1961-1900), PRECIS could capture the spatial pattern of precipitation in Xinjiang. (2) The simulated annual precipitation and seasonal precipitation in Xinjiang had a significantly positive trend and its variability had been deeply impacted by terrain. There was a strong association between increasing trend and the extreme precipitation's increase in frequency and intensity during 1961-2008. Under SRES A2 and B2, extreme precipitation indicated an increasing tendency at the end of the 21st century. The extreme summer precipitation increased prominently in a year. (3) PRECIS's simulation under SRES A2 and B2 indicated increased frequency of heavy precipitation events and also enhancement in their intensity towards the end of the 21st century. Both A2 and B2 scenarios show similar patterns of projected changes in precipitation extremes towards the end of the 21st century. However, the magnitude of changes in B2 scenario was on the lower side. In case of extreme precipitation, variation between models can exceed both internal variability and variability of different SRES.

Key words: climate change, PRECIS, Xinjiang, extreme precipitation, IPCC

Argüeso D, Hidalgo-Muñoz JM, Gámiz-Fortis SR, et al., 2012. Evaluation of WRF mean and extreme precipitation over Spain: present climate (1970-99). Journal of Climate, 25: 4883-4897. DOI: http://dx.doi.org/10.1175/JCLI-D-11-00276.1.
Brunsell NA, 2010. A multiscale information theory approach to assess spatial-temporal variability of daily precipitation. Journal of Hydrology, 385(1-4): 165-172. DOI: 10.1016/j.jhydrol. 2010.02.016.
Caesar J, Alexander LV, Trewin B, et al., 2011. Changes in temperature and precipitation extremes over the Indo-Pacific region from 1971 to 2005. International Journal of Climatolog, 31(6): 791-801. DOI: 10.1002/joc.2118.
Changnon SA, Changnon D, Karl TR, 2006. Temporal and spatial characteristics of snowstorms in the contiguous United States. Applied Meteorology and Climatology, 45: 1141-1155. DOI: http://dx.doi.org/10.1175/JAM2395.1.
Chen N, Xu YF, Chen XG, et al., 2008. Preliminary validation of PRECIS climate simulation in Ningxia. Scientia Meteorologica Sinica, 28(1): 94-99. DOI: 10.3969/j.issn.1009-0827. 2008.01.016.
Chen W, Zhu DQ, Liu HZ, et al., 2009. Land-air interaction over arid/semi-arid areas in China and its impact on the east Asian summer monsoon. Part I: Calibration of the land surface model (BATS) using multicriteria methods. Advances in Atmospheric Sciences, 26(6): 1088-1098. DOI: 10.1007/s00376-009-8 187-3.
Ebert EE, Janowiak JE, Kidd C, 2007. Comparison of near-real-time precipitation estimates from satellite observations and numerical models. Bulletin of the American Meteorological Society, 88(1): 47-64. DOI: http://dx.doi.org/10.1175/ BAMS-88-1-47.
Gallego MC, Trigo RM, Vaquero JM, et al., 2011. Trends in frequency indices of daily precipitation over the Iberian Peninsula during the last century. Journal of Glaciology and Geocryology, 116(D2): D02109. DOI: 10.1029/2010JD014255.
Gordon C, Cooper C, 2000. The simulation of SST, sea ice extents and ocean heat transports in a version of the Hadley Center coupled model without flux adjustments. Climate Dynamics, 16(2-3): 147-168.
Hertig E, Seubert S, Paxian A, et al., 2013. Statistical modelling of extreme precipitation indices for the Mediterranean area under future climate change. International Journal of Climatology, 34(4): 1132-1156. DOI: 10.1002/joc.3751.
Jiang FQ, Hu RJ, Wang SP, et al., 2011. Trends of precipitation extremes during 1960-2008 in Xinjiang, the Northwest China. Theoretical and Applied Climatology, 111: 133-148.
Jiang FQ, Hu RJ, Yang YH, 2004. Abrupt change in the time sequences of flood disasters in Xinjiang and its possible climatic reasons. Journal of Glaciology and Geocryology, 26(6): 674-681.
Jiang FQ, Yang YH, 2004. Potential links of flood and drought disaters in Xinjiang to some larger-scale climatic driving forces. Arid Land Geography, 27: 148-152. DOI: 10.3321/j.issn: 1000-6060.2004.02.004.
Jiang FQ, Zhu C, Hu RJ, et al., 2002a. Statistical and fractal features of the flood and drought disasters in Xinjiang from 1950 to 1997. Journal of Natural Disasters, 11: 96-100.
Jiang FQ, Zhu C, Mu GJ, et al., 2002b. Recent magnification of flood and drought calamities in Xinjiang: An analysis of anthropogenefic effects. Acta Geographica Sinica, 57: 57-66.
Jiang FQ, Zhu C, Mu GJ, et al., 2005. Magnification of Flood Disasters and its relation to regional precipitation since the 1980s in Xinjiang, North-western China. Natural Hazard, 36(3): 307-330. DOI: 10.1007/s11069-005-0977-z.
Jones R, Noguer M, Hassell D, et al., 2004. Generating High Resolution Climate Change Scenarios Using PRECIS, Hadley Centre for Climate Prediction and Research, Met. Office Hadley Centre, London, UK.
Kirchgäßner A, 2011. An analysis of precipitation data from the Antarctic base Faraday/Vernadsky. International Journal of Climatology, 31: 404-414. DOI: 10.1002/joc.2083.
Li BF, Cheng YN, Chen ZS, et al., 2013. Variations of temperature and precipitation of snowmelt period and its effect on runoff in the mountainous areas of Northwest China. Journal of Geographical Science, 23(1): 17-30. DOI: 10.1007/s11442-0 13-0990-1.
Li Z, Zheng FL, Liu WZ, et al., 2010. Spatial distribution and temporal trends of extreme temperature and precipitation events on the Loess Plateau of China during 1961-2007. Quaternary International, 226(1-2): 92-100. DOI: 10.1016/j.quaint.2010.03.003.
Lucio PS, 2004. Assessing HadCM3 simulations from NCEP reanalyzes over Europe: diagnostics of block-seasonal extreme temperature's regimes. Global and Planetary Change, 44(1-4): 39-57. DOI: 10.1016/j.gloplacha.2004.06.004.
Marty C, Blanchet J, 2012. Long-term changes in annual maximum snow depth and snowfall in Switzerland based on extreme value statistics. Climatic Change, 111(3-4): 705-721. DOI: 10.1007/s10584-011-0159-9.
Nakicenovic N, Alcamo J, Davis G, et al., 2004. "IPCC, Special Report on Emissions Scenarios (SRES)." Working Group III, Intergovernmental Panel on Climate Change (IPCC) number, Cambridge University Press, Cambridge, UK.
Pope VD, Gallani ML, Rowntree PR, et al., 2000. The impact of new physical parametrizations in the Hadley center climate model: HadAM3. Climate Dynamics, 16(2-3): 123-146. DOI: 10.1007/s003820050009.
Rajczak J, Pall P, Schär C, 2013. Projections of extreme precipitation events in regional climate simulations for Europe and the Alpine Region. Journal of Geophysical Research: Atmospheres, 118(9): 3610-3626. DOI: 10.1002/jgrd.50297.
Revadekar JV, Patwardhan SK, Rupa Kumar K, 2011. Characteristic features of precipitation extremes over India in the warming scenarios. Advances in Meteorology, 10: 1-11. DOI: 10.1155/ 2011/138425.
Rusticucci M, Renom M, 2008. Variability and trends in indices of quality-controlled daily temperature extremes in Uruguay. International Journal of Climatology, 28(8): 1083-1095. DOI: 10.1002/joc.1607.
Sánchez E, Gallardo C, Gaertner MA, et al., 2004. Future climate extreme events in the Mediterranean simulated by a regional climate model: a first approach. Global and Planetary Change, 44: 163-180. DOI: 10.1016/j.gloplacha.2004.06.010.
Santos JA, Corte-Real J, Ulbrich U, et al., 2007. European winter precipitation extremes and large-scale circulation: a coupled model and its scenarios. Theoretical and Applied Climatology, 87: 85-102. DOI: 10.1007/s00704-005-0224-2.
Semmler T, Jacob D, 2004. Modeling extreme precipitation events—a climate change simulation for Europe. Global and Planetary Change, 44: 119-127. DOI: 10.1016/j.gloplacha. 2004.06.008.
Shi YF, Shen YP, Hu RJ, 2002. Preliminary study on signal, impact and foreground of climatic shift from warm dry to warm-humid in Northwest China. Journal of Glaciology and Geocryology, 24: 219-226.
Shi YF, Shen YP, Li DL, et al., 2003. Discussion on the present climate change from warm-dry to warm-wet in Northwest China. Quaternary Sciences, 23: 152-164.
Vincent LA, Aguilar E, Saindou M, et al., 2011. Observed trends in indices of daily and extreme temperature and precipitation for the countries of the western Indian Ocean, 1961-2008. Journal of Geophysical Research: Atmospheres, 116: D10108. DOI: 10.1029/2010JD015303.
Xu G, 1997. Global climate warm up bring what on Sinkiang economic construction and sustainable development? Xinjiang Weather, 20: 1-3.
Xu YL, Huang XY, Zhang Y, et al., 2007. Validating PRECIS's capacity of simulating present climate over South China. ACTA Scientiarum Naturalium Universitatis Sunyatseni, 46(5): 93-97.
Xu YL, Jones R, 2004. Validating PRECIS with ECMWF reanalysis data over China. Chinese Journal of Agrometeorology, 25(1): 5-9.
Yang LM, 2003. Cliamte change of extreme precipitation in Xinjiang, China. Acta Geographica Sinica, 58(4): 577-583.
Zhang MJ, He JY, Wang BL, et al., 2013. Extreme drought changes in southwest China from 1960-2009. Journal of Geographical Sciences, 23(1): 3-16. DOI: 10.1007/s11442-013-0989-7.
Zhang Q, Chong XY, Zhang ZX, et al., 2008. Spatial and temporal variability of precipitation maxima during 1960-2005 in the Yangtze River basin and possible association with large-scale circulation. Journal of Hydrology, 353: 215-227. DOI: 10.1016/j.jhydrol.2007.11.023.
Zhang X, Yang F, 2004. RClimDex (1.0) User Manual. Available at: http://cccma.seos.uvic.ca/ETCCDMI/software.shtml.
Zhang XB, Zwiers FW, Hegerl G, 2009. The influences of data precision on the calculation of temperature percentile indices. International Journal of Climatology, 29(3): 321-327. DOI: 10.1002/joc.1738.
Zhang Y, Xu Y, Dong W, et al., 2006. Change of extreme precipitation events in China in future: an analysis based on prediction of climate change. Journal of Natural Disasters, 15(6): 228-234.
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