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Volume 28 Issue 3
May  2023
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GVZELNUR·Yasin , ZHANG Jingpeng, ZHAO Tianbao. 2023. CMIP6 Model-Projected Future Changes in Extreme Precipitation over Central Asia in the 21st Century [J]. Climatic and Environmental Research (in Chinese), 28 (3): 286−302 doi: 10.3878/j.issn.1006-9585.2022.22021
Citation: GVZELNUR·Yasin , ZHANG Jingpeng, ZHAO Tianbao. 2023. CMIP6 Model-Projected Future Changes in Extreme Precipitation over Central Asia in the 21st Century [J]. Climatic and Environmental Research (in Chinese), 28 (3): 286−302 doi: 10.3878/j.issn.1006-9585.2022.22021

CMIP6 Model-Projected Future Changes in Extreme Precipitation over Central Asia in the 21st Century

doi: 10.3878/j.issn.1006-9585.2022.22021
Funds:  National Key Research and Development Program of China (Grant 2020YFA0608904), National Natural Science Foundation of China (Grants 41975115 and 42205032), Natural Science Foundation of Shaanxi Province (Grant 2021JQ-166)
  • Received Date: 2022-02-14
  • Accepted Date: 2022-08-05
  • Available Online: 2022-08-18
  • Publish Date: 2023-05-25
  • Based on the numerical simulations provided by the latest 14 coupled models of the sixth phase of the coupled model intercomparison project (CMIP6), the spatial and temporal distribution characteristics of extreme precipitation over Central Asia (CA) and its relationship with regional climate warming in the middle and late 21st century under two shared socioeconomic paths (SSP2-4.5 and SSP5-8.5) are analyzed in this study. The results show that most CMIP6 models can essentially simulate the spatial distribution characteristics of observed precipitation climate states from 1979–2018. However, the model simulations underestimate the observations in the southwest and southeast of CA and overestimate the observations in northern and southern CA. Compared with the historical period (1981–2010), the precipitation intensity at the end of the 21st century (2071–2100) increased by 0.54 mm/10 a and 2.4 mm/10 a under the scenarios of SSP2-4.5 and SSP5-8.5, respectively, while the frequency of extreme precipitation events increased by 5%–7% and 6%–10%, respectively, particularly in the high-altitude mountains in central and southern regions. The signal-to-noise ratio of the predicted precipitation intensity and frequency in northeast CA to the north of the Tianshan Mountains is more reliable. Climate warming will have an obvious regulatory effect on the frequency of extreme precipitation events in CA. Under the scenarios of SSP2-4.5 and SSP5-8.5, a temperature increase of 1 K increased the frequency of extremely heavy precipitation events by approximately 7 and 9 days and the maximum continuous dry days by approximately 3 and 6 days, respectively.
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  • [1]
    Aizen E M, Aizen V B, Melack J M, et al. 2001. Precipitation and atmospheric circulation patterns at mid-latitudes of Asia [J]. Int. J. Climatol., 21(5): 535−556. doi: 10.1002/joc.626
    Alexander L V, Zhang X, Peterson T C, et al. 2006. Global observed changes in daily climate extremes of temperature and precipitation [J]. J. Geophys. Res. Atmos., 111(D5): D05109. doi: 10.1029/2005JD006290
    Allan R P, Soden B J. 2008. Atmospheric warming and the amplification of precipitation extremes [J]. Science, 321(5895): 1481−1484. doi: 10.1126/science.1160787
    Allen M R, Ingram W J. 2002. Constraints on future changes in climate and the hydrologic cycle [J]. Nature, 419(6903): 224−232. doi: 10.1038/nature01092
    Alpert P. 2002. The paradoxical increase of Mediterranean extreme daily rainfall in spite of decrease in total values [J]. Geophys. Res. Lett., 29(11): 1536. doi: 10.1029/2001GL013554
    Chen F H, Huang W, Jin L Y, et al. 2011. Spatiotemporal precipitation variations in the arid Central Asia in the context of global warming [J]. Sci. China Earth Sci., 54(12): 1812−1821. doi: 10.1007/s11430-011-4333-8
    Chen F H, Wang J S, Jin L Y, et al. 2009. Rapid warming in mid-latitude central Asia for the past 100 years [J]. Front. Earth Sci. China, 3(1): 42−50. doi: 10.1007/s11707-009-0013-9
    Chen F H, Yu Z C, Yang M L, et al. 2008a. Holocene moisture evolution in arid Central Asia and its out-of-phase relationship with Asian monsoon history [J]. Quaternary Science Reviews, 27(3–4): 351–364. doi: 10.1016/j.quascirev.2007.10.017
    Chen M Y, Shi W, Xie P P, et al. 2008b. Assessing objective techniques for gauge-based analyses of global daily precipitation [J]. J. Geophys. Res. Atmos., 113(D4): D04110. doi: 10.1029/2007JD009132
    Chen X, Wang S S, Hu Z Y, et al. 2018. Spatiotemporal characteristics of seasonal precipitation and their relationships with ENSO in Central Asia during 1901–2013 [J]. J. Geogr. Sci., 28(9): 1341−1368. doi: 10.1007/s11442-018-1529-2
    Chen H P, Sun J Q, Lin W Q, et al. 2020. Comparison of CMIP6 and CMIP5 models in simulating climate extremes [J]. Sci. Bull., 65: 1415−1418. doi: 10.1016/j.scib.2020.05.015
    Dai A. 2013. Increasing drought under global warming in observations and models [J]. Nat. Climate Change, 3: 52−58. doi: 10.1038/NCLIMATE1633
    Dai A G, Trenberth K E, Karl T R. 1998. Global variations in droughts and wet spells: 1900–1995 [J]. Geophys. Res. Lett., 25(17): 3367−3370. doi: 10.1029/98GL52511
    Donat M G, Lowry A L, Alexander L V, et al. 2016. More extreme precipitation in the world’s dry and wet regions [J]. Nat. Climate Change, 6(5): 508−513. doi: 10.1038/nclimate2941
    Easterling D R, Meehl G A, Parmesan C, et al. 2000. Climate extremes: Observations, modeling, and impacts [J]. Science, 289(5487): 2068−2074. doi: 10.1126/science.289.5487.2068
    Eyring V, Bony S, Meehl G A, et al. 2016. Overview of the coupled model Intercomparison project phase 6 (CMIP6) experimental design and organization [J]. Geosci. Model Dev., 9(5): 1937−1958. doi: 10.5194/gmd-9-1937-2016
    Frich P, Alexander L V, Della-Marta P, et al. 2002. Observed coherent changes in climatic extremes during the second half of the twentieth century [J]. Climate Res., 19(3): 193−212. doi: 10.3354/cr019193
    Gidden M J, Riahi K, Smith S J, et al. 2019. Global emissions pathways under different socioeconomic scenarios for use in CMIP6: A dataset of harmonized emissions trajectories through the end of the century [J]. Geosci. Model Dev., 12(4): 1443−1475. doi: 10.5194/gmd-12-1443-2019
    Huang A N, Zhou Y, Zhang Y C, et al. 2014. Changes of the annual precipitation over central Asia in the twenty-first century projected by multimodels of CMIP5 [J]. J. Climate, 27(17): 6627−6646. doi: 10.1175/JCLI-D-14-00070.1
    Huang J P, Yu H P, Dai A G, et al. 2017. Drylands face potential threat under 2 °C global warming target [J]. Nat. Climate Change, 7(6): 417−422. doi: 10.1038/nclimate3275
    IPCC. 2021. Summary for policymakers [M]. Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Masson-Delmotte V, Zhai P, Pirani A, et al, Eds. Cambridge: Cambridge University Press, 20.
    Jiang J, Zhou T J, Chen X L, et al. 2020. Future changes in precipitation over Central Asia based on CMIP6 projections [J]. Environ. Res. Lett., 15(5): 054009. doi: 10.1088/1748-9326/ab7d03
    Karl T, Trenberth K. 2003. Modern Global Climate Change [J]. Science, 302(5651): 1719−1723. doi: 10.1126/science.109022
    Klein Tank A M G, Peterson T C, Quadir D A, et al. 2006. Changes in daily temperature and precipitation extremes in central and South Asia [J]. J. Geophys. Res. Atmos., 111(D16): D16105. doi: 10.1029/2005JD006316
    Kopparla P, Fischer E M, Hannay C, et al. 2013. Improved simulation of extreme precipitation in a high-resolution atmosphere model [J]. Geophys. Res. Lett., 40(21): 5803−5808. doi: 10.1002/2013GL057866
    Li Z, Chen Y N, Fang G H, et al. 2017. Multivariate assessment and attribution of droughts in Central Asia [J]. Sci. Rep., 7(1): 1316. doi: 10.1038/s41598-017-01473-1
    Lioubimtseva E, Cole R. 2006. Uncertainties of climate change in arid environments of Central Asia [J]. Rev. Fish. Sci., 14(1–2): 29–49. doi: 10.1080/10641260500340603
    Lioubimtseva E, Henebry G M. 2009. Climate and environmental change in arid Central Asia: Impacts, vulnerability, and adaptations [J]. J. Arid Environ., 73(11): 963−977. doi: 10.1016/j.jaridenv.2009.04.022
    Meehl G A, Karl T, Easterling D R, et al. 2000. An introduction to trends in extreme weather and climate events: Observations, socioeconomic impacts, terrestrial ecological impacts, and model projections [J]. Bull. Amer. Meteor. Soc., 81(3): 413−416. doi: 10.1175/1520-0477(2000)081<0413:AITTIE>2.3.CO;2
    Min S K, Zhang X B, Zwiers F W, et al. 2011. Human contribution to more-intense precipitation extremes [J]. Nature, 470(7334): 378−381. doi: 10.1038/nature09763
    Pendergrass A G, Hartmann D L. 2014. Changes in the distribution of rain frequency and intensity in response to global warming [J]. J. Climate, 27(22): 8372−8383. doi: 10.1175/JCLI-D-14-00183.1
    Raftery A E, Gneiting T, Balabdaoui F, et al. 2005. Using Bayesian model averaging to calibrate forecast ensembles [J]. Mon. Wea. Rev., 133(5): 1155−1174. doi: 10.1175/MWR2906.1
    Seneviratne S J, Donat M G, Mueller B, et al. 2014. No pause in the increase of hot temperature extremes [J]. Nat. Climate Change, 4(3): 161−163. doi: 10.1038/nclimate2145
    郯俊岭, 江志红, 马婷婷. 2016. 基于贝叶斯模型的中国未来气温变化预估及不确定性分析 [J]. 气象学报, 74(4): 583−597. doi: 10.11676/qxxb2016.044

    Tan Junling, Jiang Zhihong, Ma Tingting. 2016. Projections of future surface air temperature change and uncertainty over China based on the Bayesian Model Averaging [J]. Acta Meteor. Sinica (in Chinese), 74(4): 583−597. doi: 10.11676/qxxb2016.044
    Taylor K E. 2001. Summarizing multiple aspects of model performance in a single diagram [J]. J. Geophys. Res. Atmos., 106(D7): 7183−7192. doi: 10.1029/2000JD900719
    Tian D, Guo Y, Dong W J. 2015. Future changes and uncertainties in temperature and precipitation over China based on CMIP5 models [J]. Adv. Atmos. Sci., 32(4): 487−496. doi: 10.1007/s00376-014-4102-7
    Trenberth K E, Dai A, Rasmussen R M, et al. 2003. The changing character of precipitation [J]. Bull. Amer. Meteor. Soc., 84(9): 1205−1218. doi: 10.1175/BAMS-84-9-1205
    Ukkola A M, De Kauwe M G, Roderick M L, et al. 2020. Robust future changes in meteorological drought in CMIP6 projections despite uncertainty in precipitation [J]. Geophys. Res. Lett., 47(11): e2020GL087820. doi: 10.1029/2020GL087820
    王芳, 张晋韬. 2020. 《巴黎协定》排放情景下中亚地区降水变化响应 [J]. 地理学报, 75(01): 25−40. Wang F, Zhang J. 2020. Response of precipitation change in Central Asia to emission scenarios consistent with the Paris Agreement [J]. Acta Geographica Sinica (in Chinese), 75(01): 25−40. doi: 10.11821/dlxb202001003
    Wang L, Bao Q, He B, et al. 2019. Short commentary on CMIP6 high resolution model Intercomparison project (HighResMIP) [J]. Climate Change Res. (in Chinese), 15(5): 498−502. doi: 10.12006/j.issn.1673-1719.2019.077
    Xie P P, Chen M Y, Yang S, et al. 2007. A gauge-based analysis of daily precipitation over East Asia [J]. J. Hydrometeorol., 8(3): 607−626. doi: 10.1175/JHM583.1
    Zhai P M, Zhang X B, Wan H, et al. 2005. Trends in total precipitation and frequency of daily precipitation extremes over China [J]. J. Climate, 18(7): 1096−1108. doi: 10.1175/JCLI-3318.1
    Zhang M, Chen Y N, Shen Y J, et al. 2017. Changes of precipitation extremes in arid Central Asia [J]. Quaternary International, 436: 16−27. doi: 10.1016/j.quaint.2016.12.024
    Zhang J P, Zhao T B, Zhou L B, et al. 2021. Historical changes and future projections of extreme temperature and precipitation along the Sichuan−Tibet Railway [J]. J. Meteor. Res., 35(3): 402−415. doi: 10.1007/s13351-021-0175-2
    张影, 徐建华, 陈忠升, 等. 2016. 中亚地区气温变化的时空特征分析 [J]. 干旱区资源与环境, 30(7): 133−137. doi: 10.13448/j.cnki.jalre.2016.228

    Zhang Y, Xu J H, Chen Z S, et al. 2016. Spatial and temporal variation of temperature in Central Asia [J]. J. Arid Land Resour. Environ. (in Chinese), 30(7): 133−137. doi: 10.13448/j.cnki.jalre.2016.228
    Zhao T B, Chen L, Ma Z G. 2014. Simulation of historical and projected climate change in arid and semiarid areas by CMIP5 models [J]. Chinese Sci. Bull., 59(4): 412−429. doi: 10.1007/s11434-013-0003-x
    Zhao T B, Dai A G. 2017. Uncertainties in historical changes and future projections of drought. Part II: Model-simulated historical and future drought changes [J]. Climatic Change, 144(3): 535−548. doi: 10.1007/s10584-016-1742-x
    周天军, 邹立维, 吴波, 等. 2014. 中国地球气候系统模式研究进展:CMIP计划实施近20年回顾 [J]. 气象学报, 72(5): 892−907. doi: 10.11676/qxxb2014.083

    Zhou Tianjun, Zou Liwei, Wu Bo, et al. 2014. Development of earth/climate system models in China: A review from the coupled model intercomparison project perspective [J]. Acta Meteor. Sinica (in Chinese), 72(5): 892−907. doi: 10.11676/qxxb2014.083
    周天军, 邹立维, 陈晓龙. 2019. 第六次国际耦合模式比较计划(CMIP6)评述 [J]. 气候变化研究进展, 15(5): 445−456. doi: 10.12006/j.issn.1673-1719.2019.193

    Zhou T J, Zou L W, Chen X L. 2019. Commentary on the coupled model Intercomparison project phase 6 (CMIP6) [J]. Climate Change Res. (in Chinese), 15(5): 445−456. doi: 10.12006/j.issn.1673-1719.2019.193
    Zhu X, Wei Z G, Dong W J, et al. 2020. Dynamical downscaling simulation and projection for mean and extreme temperature and precipitation over central Asia [J]. Climate Dyn., 54(7): 3279−3306. doi: 10.1007/s00382-020-05170-0
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