CMIP6 near-term and long-term projections of Eurasian winter cooling trend and cold extremes

被引:0
|
作者
Xu, Xinping [1 ]
He, Shengping [2 ,3 ,4 ]
Zhou, Botao [1 ]
Sun, Bo [1 ,5 ,6 ]
机构
[1] Nanjing Univ Informat Sci Technol, Nanjing, Peoples R China
[2] Univ Bergen, Geophys Inst, Bergen, Norway
[3] Bjerknes Ctr Climate Res, Bergen, Norway
[4] Nansen Environm & Remote Sensing Ctr, Bergen, Norway
[5] Southern Marine Sci & Engn Guangdong Lab, Zhuhai, Peoples R China
[6] Chinese Acad Sci, Inst Atmospher Phys, Nansen Zhu Int Res Ctr, Beijing, Peoples R China
来源
ENVIRONMENTAL RESEARCH LETTERS | 2024年 / 19卷 / 10期
基金
中国国家自然科学基金;
关键词
projections; near-term and long-term; Eurasian cooling trend; Eurasian cold extremes; internal variability; ARCTIC SEA-ICE; URAL BLOCKING; AMPLIFICATION; IMPACT;
D O I
10.1088/1748-9326/ad7307
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
It is well-known that climate warming increases air temperature and reduces cold extremes in the long-term. But internal variability strongly modulates the variability of temperature at mid- and- high latitudes, for example, causing the remarkable cooling and severe winter weather over Eurasia from the 1990s to the early 2010s. It remains unclear whether the occurrence of Eurasian cooling and cold extremes will be offset by climate warming or stimulated by internal variability in the future. Based on the Sixth phase of the Coupled Model Intercomparison Project multi-model projections for 2015-2100, this study shows that the projected probability of Eurasian cooling trend decreases with increasing greenhouse gas concentration in the long-term (i.e. 2070-2099) from 14.8% under SSP126 to 0.9% under SSP585. In the near-term (i.e. 2021-2050), however, Eurasian cooling occurrences are less influenced by different emission scenarios. Coinciding with deep Arctic warming throughout the troposphere, the projected significant Eurasian cooling exhibits similar pattern and intensity among different scenarios. The similar trend towards tropospheric anticyclone over the Arctic among different scenarios in the near-term promotes the deep Arctic warming-Eurasian cooling trend through transporting warm (cold) air into the Arctic (mid-latitudes). Moreover, winter extreme cold anomalies (i.e. -3.0--2.0 degrees C) and extreme cold days (i.e. 4-6 d) over the Eurasian continent are not sensitive to emission scenarios in the near-term. In the long-term, the accelerating climate warming under high-emission scenarios significantly reduces the frequency and intensity of Eurasian cold extremes compared to low-emission scenarios. Therefore, the occurrence of Eurasian cooling trend and cold extremes in the near-term will be dominated by internal influences (e.g. Ural blocking) and will rely more on the internal variability after the mid-century if carbon neutrality goal is achieved.
引用
收藏
页数:8
相关论文
共 50 条
  • [41] Industrial CO2 and carbon capture: near-term benefit, long-term necessity
    Midldeton, Richard S.
    Levine, Jonathan S.
    Bielicki, Jeffrey M.
    Stauffer, Philip H.
    13TH INTERNATIONAL CONFERENCE ON GREENHOUSE GAS CONTROL TECHNOLOGIES, GHGT-13, 2017, 114 : 7601 - 7605
  • [43] Potential Near-Term Wetting of the Southwestern United States if the Eastern and Central Pacific Cooling Trend Reverses
    Alessi, Marc J.
    Rugenstein, Maria
    GEOPHYSICAL RESEARCH LETTERS, 2024, 51 (13)
  • [44] Robustness of CMIP6 Historical Global Mean Temperature Simulations: Trends, Long-Term Persistence, Autocorrelation, and Distributional Shape
    Papalexiou, Simon Michael
    Rajulapati, Chandra Rupa
    Clark, Martyn P.
    Lehner, Flavio
    EARTHS FUTURE, 2020, 8 (10)
  • [45] On the long-term memory characteristic in land surface air temperatures: How well do CMIP6 models perform?
    Li, Linzhi
    Xie, Fenghua
    Yuan, Naiming
    ATMOSPHERIC AND OCEANIC SCIENCE LETTERS, 2023, 16 (01)
  • [46] On the long-term memory characteristic in land surface air temperatures:How well do CMIP6 models perform?
    Linzhi Li
    Fenghua Xie
    Naiming Yuan
    Atmospheric and Oceanic Science Letters, 2023, 16 (01) : 43 - 48
  • [47] Spatio-temporal variability of surface chlorophyll and pCO2 over the tropical Indian Ocean and its long-term trend using CMIP6 models
    Mohanty, Sachiko
    Bhattacharya, Biswarup
    Singh, Charu
    SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 908
  • [48] Augmented cognition and cognitive state assessment technology - Near-term, mid-term, and long-term research objectives
    Reeves, Leah M.
    Schmorrow, Dylan D.
    Stanney, Kay M.
    FOUNDATIONS OF AUGMENTED COGNITION, PROCEEDINGS, 2007, 4565 : 220 - +
  • [49] Early Amplitude-Integrated Electroencephalography Predicts Long-Term Outcomes in Term and Near-Term Newborns With Severe Hyperbilirubinemia
    Yuan, Xiao
    Song, Juan
    Gao, Liang
    Cheng, Yanchao
    Dong, Huimin
    Zhang, Ruili
    Liu, Shasha
    Ding, Xue
    Wang, Yong
    Xu, Falin
    Zhu, Changlian
    PEDIATRIC NEUROLOGY, 2019, 98 : 68 - 73
  • [50] Long-term trend and interannual variability of precipitation-use efficiency in Eurasian grasslands
    Zhang, Tianyou
    Chen, Zhi
    Zhang, Weikang
    Jiao, Cuicui
    Yang, Meng
    Wang, Qiufeng
    Han, Lang
    Fu, Zheng
    Sun, Zhongyi
    Li, Wenhua
    Yu, Guirui
    ECOLOGICAL INDICATORS, 2021, 130