Simulation and projection of climate change using CMIP6 Muti-models in the Belt and Road Region

被引:7
|
作者
Lu, YanRan [1 ]
Jiang, Tong [1 ]
Wang, YanJun [1 ]
Su, BuDa [1 ]
Huang, JinLong [1 ]
Tao, Hui [2 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Inst Disaster Risk Management, Sch Geog Sci, Nanjing 210044, Jiangsu, Peoples R China
[2] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Xinjiang, Peoples R China
来源
SCIENCES IN COLD AND ARID REGIONS | 2020年 / 12卷 / 06期
关键词
precipitation; temperature; actual evaporation; multi-models CMIP6; SSPs-RCPs; Belt and Road Region;
D O I
10.3724/SP.J.1226.2020.00389
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Climate condition over a region is mostly determined by the changes in precipitation, temperature and evaporation as the key climate variables. The countries belong to the Belt and Road region are subjected to face strong changes in future climate. In this paper, we used five global climate models from the latest Sixth Phase of Coupled Model Intercomparison Project (CMIP6) to evaluate future climate changes under seven combined scenarios of the Shared Socioeconomic Pathways and the Representative Concentration Pathways (SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP4- 3.4, SSP4-6.0 and SSP5-8.5) across the Belt and Road region. This study focuses on undertaking a climate change assessment in terms of future changes in precipitation, air temperature and actual evaporation for the three distinct periods as near-term period (2021-2040), mid-term period (2041-2060) and long-term period (2081-2100). To discern spatial structure, Koppen-Geiger Climate Classification method has been used in this study. In relative terms, the results indicate an evidence of increasing tendency in all the studied variables, where significant changes are anticipated mostly in the long-term period. In addition to, though it is projected to increase under all the SSP-RCP scenarios, greater increases will be happened under higher emission scenarios (SSP5-8.5 and SSP3-7.0). For temperature, robust increases in annual mean temperature is found to be 5.2 degrees C under SSP3-7.0, and highest 7.0 degrees C under SSP5-8.5 scenario relative to present day. The northern part especially Cold and Polar region will be even more warmer (+6.1 degrees C) in the long-term (2081-2100) period under SSP5-8.5. Similarly, at the end of the twenty-first century, annual mean precipitation is inclined to increase largely with a rate of 2.1% and 2.8% per decade under SSP3-7.0 and SSP5-8.5 respectively. Spatial distribution demonstrates that the largest precipitation increases are to be pronounced in the Polar and Arid regions. Precipitation is projected to increase with response to increasing warming most of the regions. Finally, the actual evaporation is projected to increase significantly with rate of 20.3% under SSP3-7.0 and greatest 27.0% for SSP5-8.5 by the end of the century. It is important to note that the changes in evaporation respond to global mean temperature rise consistently in terms of similar spatial pattern for all the scenarios where stronger increase found in the Cold and Polar regions. The increase in precipitation is overruled by enhanced evaporation over the region. However, this study reveals that the CMIP6 models can simulate temperature better than precipitation over the Belt and Road region. Findings of this study could be the reliable basis for initiating policies against further climate induced impacts in the regional scale.
引用
收藏
页码:389 / 403
页数:15
相关论文
共 50 条
  • [1] Simulation and projection of climate change using CMIP6 Muti-models in the Belt and Road Region
    YanRan Lü
    Tong Jiang
    YanJun Wang
    BuDa Su
    JinLong Huang
    Hui Tao
    Sciences in Cold and Arid Regions, 2020, 12 (06) : 389 - 403
  • [2] Simulation and projection of photovoltaic energy potential over a tropical region using CMIP6 models
    Ojo, Olusola Samuel
    Adesemoye, Promise Dunsin
    JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS, 2024, 265
  • [3] Projection of climate change impacts on hydropower in the source region of the Yangtze River based on CMIP6
    Zhao, Yinmao
    Xu, Kui
    Dong, Ningpeng
    Wang, Hao
    JOURNAL OF HYDROLOGY, 2022, 606
  • [4] Incorrect Asian aerosols affecting the attribution and projection of regional climate change in CMIP6 models
    Wang, Zhili
    Lin, Lei
    Xu, Yangyang
    Che, Huizheng
    Zhang, Xiaoye
    Zhang, Hua
    Dong, Wenjie
    Wang, Chense
    Gui, Ke
    Xie, Bing
    NPJ CLIMATE AND ATMOSPHERIC SCIENCE, 2021, 4 (01)
  • [5] Incorrect Asian aerosols affecting the attribution and projection of regional climate change in CMIP6 models
    Zhili Wang
    Lei Lin
    Yangyang Xu
    Huizheng Che
    Xiaoye Zhang
    Hua Zhang
    Wenjie Dong
    Chense Wang
    Ke Gui
    Bing Xie
    npj Climate and Atmospheric Science, 4
  • [6] Analysis of climate change scenarios using CMIP6 models in Pernambuco, Brazil
    Araujo, Diego Cezar dos Santos
    Montenegro, Suzana Maria Gico Lima
    da Silva, Samara Fernanda
    de Farias, Vanine Elane Menezes
    Rodrigues, Arivania Bandeira
    REVISTA BRASILEIRA DE CIENCIAS AMBIENTAIS, 2024, 59
  • [7] Analysis of climate change scenarios using CMIP6 models in Pernambuco, Brazil
    Araujo, Diego Cezar dos Santos
    Montenegro, Suzana Maria Gico Lima
    da Silva, Samara Fernanda
    de Farias, Vanine Elane Menezes
    Rodrigues, Arivania Bandeira
    REVISTA BRASILEIRA DE CIENCIAS AMBIENTAIS, 2024, 59
  • [8] Performance evaluation of CMIP6 global climate models for selecting models for climate projection over Nigeria
    Shiru, Mohammed Sanusi
    Chung, Eun-Sung
    THEORETICAL AND APPLIED CLIMATOLOGY, 2021, 146 (1-2) : 599 - 615
  • [9] Performance evaluation of CMIP6 global climate models for selecting models for climate projection over Nigeria
    Mohammed Sanusi Shiru
    Eun-Sung Chung
    Theoretical and Applied Climatology, 2021, 146 : 599 - 615
  • [10] Climate Change Projections for the Australian Monsoon From CMIP6 Models
    Narsey, S. Y.
    Brown, J. R.
    Colman, R. A.
    Delage, F.
    Power, S. B.
    Moise, A. F.
    Zhang, H.
    GEOPHYSICAL RESEARCH LETTERS, 2020, 47 (13)