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Seasonal Cumulative Effect of Ural Blocking Episodes on the Frequent Cold events in China during the Early Winter of 2020/21 | Advances in Atmospheric Sciences
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Seasonal Cumulative Effect of Ural Blocking Episodes on the Frequent Cold events in China during the Early Winter of 2020/21

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  • Published: 07 January 2022
  • Volume 39, pages 609–624, (2022)
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Seasonal Cumulative Effect of Ural Blocking Episodes on the Frequent Cold events in China during the Early Winter of 2020/21
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  • Yao Yao1,2,
  • Wenqi Zhang1,2,
  • Dehai Luo1,2,
  • Linhao Zhong1,2 &
  • …
  • Lin Pei3 
  • 2108 Accesses

  • 80 Citations

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Abstract

Starting in mid-November, China was hit by several cold events during the early winter of 2020/21. The lowest temperature observed at Beijing station on 7 January reached −19.6°C. In this paper, we show that the outbreak of the record-breaking extreme cold event can be attributed to a huge merging Ural blocking (UB) ridge over the Eurasian region. The sea-ice cover in the Kara and East Siberia Seas (KESS) in autumn was at its lowest value since 1979, which could have served as a precursor signal. Further analysis shows that several successive UB episodes occurred from 1 September 2020 to 10 January 2021. The persistent UB that occurred in late September/early October 2020 may have made an important contribution to the October historical minimum of sea ice in the KESS region. Our results also show that, after each UB episode in winter, significant upward propagation of wave activity occurred around 60°E, which resulted in weakening the stratospheric vortex. Meanwhile, each UB episode also caused a significant reduction in sea-ice extent in KESS and a significant weakening of the westerly jet in mid–high-latitude Eurasia. Results suggest that the Arctic vortex, which is supposed to enhance seasonally, became weaker and more unstable than the climatic mean under the seasonal cumulative effects of UB episodes, KESS warming, and long-lasting negative-phase North Atlantic Oscillation (NAO–). Those seasonal cumulative effects, combined with the impact of La Niña winter, led to the frequent occurrence of extreme cold events.

摘要

2020/21年初冬, 我国遭遇了几次大范围的极寒天气过程. 1月7日, 北京站观测到的最低气温达到-19.6℃. 研究表明, 破纪录的极寒事件的爆发可归因于欧亚地区上空巨大的乌拉尔阻塞脊的发展和合并过程. 秋季喀拉海和东西伯利亚海的海冰覆盖率为1979年以来的最低值, 这可能是一个前兆信号. 进一步的分析表明, 从2020年9月1日到2021年1月10日, 发生了几次连续的乌拉尔阻塞事件. 2020年9月底/10月初发生的持续的乌拉尔阻塞可能对喀拉海和东西伯利亚海10月份的海冰历史最低值有重要贡献. 结果还显示, 冬季每次乌拉尔阻塞发生后, 60°E附近区域对流层大气会发生明显的能量向上传播, 导致平流层涡旋的减弱. 同时, 每次UB事件也会导致喀拉海和东西伯利亚海的海冰明显减少, 欧亚大陆中高纬度地区的西风急流明显减弱. 总得来说, 在乌拉尔阻塞事件、 喀拉海和东西伯利亚海变暖和持续的负位相北大西洋涛动的季节性累积效应下, 本应季节性增强的北极涡旋变得比气候平均值更弱和更加不稳定. 这些季节性的累积效应, 再加上拉尼娜的协同影响, 导致了极端寒冷事件的频繁发生.

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References

  • Andrews, D. G., and M. E. McIntyre, 1978: Generalized Eliassen-Palm and Charney-Drazin theorems for waves on axismmetric mean flows in compressible atmospheres. J. Atmos. Sci., 35, 175–185, https://doi.org/10.1175/1520-0469(1978)035<0175:GEPACD>2.0.CO;2.

    Google Scholar 

  • Benedict, J. J., S. Lee, and S. B. Feldstein, 2004: Synoptic view of the North Atlantic oscillation. J. Atmos. Sci., 61, 121–144, https://doi.org/10.1175/1520-0469(2004)061<0121:SVOTNA>2.0.CO;2.

    Google Scholar 

  • Chen, X. D., D. H. Luo, S. B. Feldstein, and S. Lee, 2018: Impact of winter Ural blocking on Arctic Sea Ice: Short-time variability. J. Climate, 31, 2267–2282, https://doi.org/10.1175/JCLI-D-17-0194.1.

    Google Scholar 

  • Cohen, J., K. Pfeiffer, and J. A. Francis, 2018a: Warm Arctic episodes linked with increased frequency of extreme winter weather in the United States. Nature Communication, 9, 869, https://doi.org/10.1038/s41467-018-02992-9.

    Google Scholar 

  • Cohen, J., and Coauthors, 2014: Recent Arctic amplification and extreme mid-latitude weather. Nature Geoscience, 7, 627–637, https://doi.org/10.1038/ngeo2234.

    Google Scholar 

  • Cohen, J., and Coauthors, 2018b: Arctic change and possible influence on mid-latitude climate and weather. US CLIVAR Report, 41pp.

  • Dai, A. G., and M. R. Song, 2020: Little influence of Arctic amplification on mid-latitude climate. Nature Climate Change, 10, 231–237, https://doi.org/10.1038/s41558-020-0694-3.

    Google Scholar 

  • Ding, S. Y., B. Y. Wu, and W. Chen, 2021: Dominant characteristics of early autumn Arctic Sea Ice variability and its impact on Winter Eurasian Climate. J. Climate, 34, 1825–1846, https://doi.org/10.1175/JCLI-D-19-0834.1.

    Google Scholar 

  • Ding, Y. H., Z. Y. Wang, Y. F. Song, and J. Zhang, 2008: The unprecedented freezing disaster in January 2008 in Southern China and its possible association with the global warming. Acta Meteorologica Sinica, 22, 538–558.

    Google Scholar 

  • Edmon, H. J. J., B. J. Hoskins, and M. E. Mcintyre, 1980: Eliassen-Palm cross sections for the troposphere. J. Atmos. Sci., 37, 2600–2616, https://doi.org/10.1175/1520-0469(1980)037<2600:EPCSFT>2.0.CO;2.

    Google Scholar 

  • Francis, J. A., S. J. Vavrus, and J. Cohen, 2017: Amplified Arctic warming and mid-latitude weather: New perspectives on emerging connections. Wiley Interdisciplinary Reviews: Climate Change, 8, e474, https://doi.org/10.1002/WCC.474.

    Google Scholar 

  • Gao, Y. Q., and Coauthors, 2015: Arctic Sea Ice and Eurasian climate: A review. Adv. Atmos. Sci., 32, 92–114, https://doi.org/10.1007/s00376-014-0009-6.

    Google Scholar 

  • Gong, T. T., and D. H. Luo, 2017: Ural blocking as an amplifier of the Arctic Sea Ice decline in winter. J. Climate, 30, 2639–2654, https://doi.org/10.1175/JCLI-D-16-0548.1.

    Google Scholar 

  • Han, Z., and S. L. Li, 2018: Precursor role of winter sea-ice in the Labrador Sea for following-spring precipitation over southeastern North America and western Europe. Adv. Atmos. Sci., 35, 65–74, https://doi.org/10.1007/s00376-017-6291-3.

    Google Scholar 

  • Herring, S. C., A. Hoell, M. P. Hoerling, J. P. Kossin, C. J. Schreck III, and P. A. Stott, 2016: Introduction to explaining extreme events of 2015 from a climate perspective. Bull. Amer. Meteor. Soc., 97, S1–S3, https://doi.org/10.1175/BAMS-D-16-0313.1.

  • Hersbach, H., and D. Dee, 2016: ERA5 reanalysis is in production. ECMWF Newsletter, No. 147, ECMWF, Reading, United Kingdom. Available from https://www.ecmwf.int/en/newsletter/147/news/era5-reanalysis-production.

    Google Scholar 

  • Hui, G., 2009: China’s snow disaster in 2008, who is the principal player. International Journal of Climatology, 29, 2191–2196, https://doi.org/10.1002/joc.1859.

    Google Scholar 

  • Iwasaki, T., T. Shoji, Y. Kanno, M. Sawada, M. Ujiie, and K. Takaya, 2014: Isentropic analysis of polar cold airmass streams in the Northern Hemispheric winter. J. Atmos. Sci., 71, 2230–2243, https://doi.org/10.1175/JAS-D-13-058.1.

    Google Scholar 

  • Kodera, K., H. Mukougawa, and A. Fujii, 2013: Influence of the vertical and zonal propagation of stratospheric planetary waves on tropospheric blockings. J. Geophys. Res.: Atmos., 118, 8333–8345, https://doi.org/10.1002/jgrd.50650.

    Google Scholar 

  • Li, F., and H. J. Wang, 2012: Autumn sea ice cover, winter Northern Hemisphere annular mode, and winter precipitation in Eurasia. J. Climate, 26, 3968–3981, https://doi.org/10.1175/JCLI-D-12-00380.1.

    Google Scholar 

  • Li, H. X., H. P. Chen, H. J. Wang, J. Q. Sun, and J. H. Ma, 2018: Can Barents Sea ice decline in spring enhance summer hot drought events over northeastern China. J. Climate, 31, 4705–4725, https://doi.org/10.1175/JCLI-D-17-0429.1.

    Google Scholar 

  • Li, M. Y., Y. Yao, I. Simmonds, D. H. Luo, L. H. Zhong, and X. D. Chen, 2020: Collaborative impact of the NAO and atmospheric blocking on European heatwaves, with a focus on the hot summer of 2018. Environmental Research Letters, 15, 114003, https://doi.org/10.1088/1748-9326/aba6ad.

    Google Scholar 

  • Lü, Z. Z., S. P. He, F. Li, and H. J. Wang, 2019: Impacts of the autumn Arctic Sea Ice on the intraseasonal reversal of the winter Siberian high. Adv. Atmos. Sci., 36, 173–188, https://doi.org/10.1007/s00376-017-8089-8.

    Google Scholar 

  • Lü, Z. Z., F. Li, Y. J. Orsolini, Y. Q. Gao, and S. P. He, 2020: Understanding of European cold extremes, sudden stratospheric warming, and Siberian snow accumulation in the winter of 2017/18. J. Climate, 33, 527–545, https://doi.org/10.1175/JCLI-D-18-0861.1.

    Google Scholar 

  • Luo, B. H., D. H. Luo, L. X. Wu, L. H. Zhong, and I. Simmonds, 2017: Atmospheric circulation patterns which promote winter Arctic sea ice decline. Environmental Research Letters, 12, 054017, https://doi.org/10.1088/1748-9326/AA69D0.

    Google Scholar 

  • Luo, D. H., 2005: A barotropic envelope Rossby soliton model for block-eddy interaction. Part I: Effect of topography. J. Atmos. Sci., 62, 5–21, https://doi.org/10.1175/1186.1.

    Google Scholar 

  • Luo, D. H., and J. Cha, 2012: The North Atlantic oscillation and the North Atlantic jet variability: Precursors to NAO regimes and transitions. J. Atmos. Sci., 69, 3763–3787, https://doi.org/10.1175/JAS-D-12-098.1.

    Google Scholar 

  • Luo, D. H., Y. Yao, and S. B. Feldstein, 2014: Regime transition of the North Atlantic oscillation and the extreme cold event over Europe in January-February 2012. Mon. Wea. Rev., 142, 4735–4757, https://doi.org/10.1175/MWR-D-13-00234.1.

    Google Scholar 

  • Luo, D. H., Y. Yao, A. G. Dai, and S. B. Feldstein, 2015: The positive North Atlantic oscillation with downstream blocking and middle east snowstorms: The large-scale environment. J. Climate, 28, 6398–6418, https://doi.org/10.1175/JCLI-D-15-0184.1.

    Google Scholar 

  • Luo, D. H., Y. Q. Xiao, Y. Yao, A. G. Dai, I. Simmonds, and C. L. E. Franzke, 2016: Impact of Ural blocking on winter warm Arctic-cold Eurasian anomalies. Part I: Blocking-induced amplification. J. Climate, 29, 3925–3947, https://doi.org/10.1175/JCLI-D-15-0611.1.

    Google Scholar 

  • Ma, S. M., and C. W. Zhu, 2019: Extreme Cold Wave over East Asia in January 2016: A possible response to the larger internal atmospheric variability induced by Arctic warming. J. Climate, 32, 1203–1216, https://doi.org/10.1175/JCLI-D-18-0234.1.

    Google Scholar 

  • Martineau, P., G. Chen, and D. A. Burrows, 2017: Wave events: Climatology, trends, and relationship to Northern Hemisphere winter blocking and weather extremes. J. Climate, 30, 5675–5697, https://doi.org/10.1175/JCLI-D-16-0692.1.

    Google Scholar 

  • Overland, J. E., and Coauthors, 2016: Nonlinear response of mid-latitude weather to the changing Arctic. Nature Climate Change, 6, 992–999, https://doi.org/10.1038/NCLIMATE3121.

    Google Scholar 

  • Shen, X. C., L. Wang, and S. Osprey, 2020: The Southern Hemisphere sudden stratospheric warming of September 2019. Science Bulletin, 65(21), 1800–1802, https://doi.org/10.1016/j.scib.2020.06.028.

    Google Scholar 

  • Tibaldi, S., and F. Molteni, 1990: On the operational predictability of blocking. Tellus A, 42, 343–365, https://doi.org/10.3402/TELLUSA.V42I3.11882.

    Google Scholar 

  • Tyrlis, E., E. Manzini, J. Bader, J. Ukita, H. Nakamura, and D. Matei, 2019: Ural blocking driving extreme Arctic Sea Ice loss, cold eurasia, and stratospheric vortex weakening in autumn and early winter 2016–2017. J. Geophys. Res.: Atmos., 124, 11313–11329, https://doi.org/10.1029/2019JD031085.

    Google Scholar 

  • Whan, K., F. Zwiers, and J. Sillmann, 2016: The influence of atmospheric blocking on extreme winter minimum temperatures in North America. J. Climate, 29, 4361–4381, https://doi.org/10.1175/JCLI-D-15-0493.1.

    Google Scholar 

  • Wu, B. Y., 2017: Winter atmospheric circulation anomaly associated with recent Arctic Winter warm anomalies. J. Climate, 30, 8469–8479, https://doi.org/10.1175/JCLI-D-17-0175.1.

    Google Scholar 

  • Wu, B. Y., J. Z. Su, and R. D’Arrigo, 2015: Patterns of Asian winter climate variability and links to Arctic Sea Ice. J. Climate, 28, 6841–6858, https://doi.org/10.1175/JCLI-D-14-00274.1.

    Google Scholar 

  • Wu, B. Y., K. Yang, and J. A. Francis, 2017: A cold event in Asia during January-February 2012 and its possible association with Arctic Sea Ice loss. J. Climate, 30, 7971–7990, https://doi.org/10.1175/JCLI-D-16-0115.1.

    Google Scholar 

  • Wu, Z. W., J. P. Li, Z. H. Jiang, and J. H. He, 2011: Predictable climate dynamics of abnormal East Asian winter monsoon: Once-in-a-century snowstorms in 2007/2008 winter. Climate Dyn., 37, 1661–1669, https://doi.org/10.1007/s00382-010-0938-4.

    Google Scholar 

  • Yamaguchi, J., Y. Kanno, G. X. Chen, and T. Iwasaki, 2019: Cold air mass analysis of the record-breaking cold surge event over East Asia in January 2016. J. Meteor. Soc. Japan. Ser. II, 97, 275–293, https://doi.org/10.2151/jmsj.2019-015.

    Google Scholar 

  • Yao, Y., and D. H. Luo, 2014: Relationship between zonal position of the North Atlantic oscillation and Euro-Atlantic blocking events and its possible effect on the weather over Europe. Science China Earth Sciences, 57, 2628–2636, https://doi.org/10.1007/s11430-014-4949-6.

    Google Scholar 

  • Yao, Y., and D. H. Luo, 2018: An asymmetric spatiotemporal connection between the Euro-Atlantic blocking within the NAO life cycle and European climates. Adv. Atmos. Sci., 35, 796–812, https://doi.org/10.1007/s00376-017-7128-9.

    Google Scholar 

  • Yao, Y., D. H. Luo, A. G. Dai, and S. B. Feldstein, 2016: The positive North Atlantic oscillation with downstream blocking and middle east snowstorms: Impacts of the North Atlantic jet. J. Climate, 29, 1853–1876, https://doi.org/10.1175/JCLI-D-15-0350.1.

    Google Scholar 

  • Yao, Y., D. H. Luo, A. G. Dai, and I. Simmonds, 2017: Increased Quasi stationarity and persistence of winter Ural blocking and Eurasian extreme cold events in response to Arctic warming. Part I: Insights from observational analyses. J. Climate, 30, 3549–3568, https://doi.org/10.1175/JCLI-D-16-0261.1.

    Google Scholar 

  • Zhang, R. N., C. H. Sun, R. H. Zhang, W. J. Li, and J. Q. Zuo, 2019: Role of Eurasian snow cover in linking winter-spring Eurasian coldness to the autumn Arctic Sea Ice retreat. J. Geophys. Res.: Atmos., 124, 9205–9221, https://doi.org/10.1029/2019JD030339.

    Google Scholar 

  • Zheng, F., and Coauthors, 2021: The 2020/21 extremely cold winter in China influenced by the synergistic effect of La Niña and warm Arctic. Adv. Atmos. Sci., https://doi.org/10.1007/s00376-021-1033-y. (in press)

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Acknowledgements

The authors acknowledge the financial support from the National Natural Science Foundation of China (Grants Nos. 41975068, 41790473, and 41975099) and the Chinese Academy of Sciences Strategic Priority Research Program (Grant No. XDA19070403).

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Authors and Affiliations

  1. Key Laboratory of Regional Climate-Environment for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China

    Yao Yao, Wenqi Zhang, Dehai Luo & Linhao Zhong

  2. University of Chinese Academy of Sciences, Beijing, 100029, China

    Yao Yao, Wenqi Zhang, Dehai Luo & Linhao Zhong

  3. Institute of Urban Meteorology, China Meteorological Administration, Beijing, 100029, China

    Lin Pei

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Article Highlights

• The sea-ice cover in the Kara and East Siberia Seas in autumn 2020 was at its lowest value since 1979, which provides a precursor signal.

• Successive Ural blocking (UB) episodes that occurred from fall 2020 to January 2021 served as crucial physical processes.

• The seasonal cumulative effects of UBs, combined with other abnormal factors, led to the frequent occurrence of extreme cold events.

This paper is a contribution to the special issue on Extreme Cold Events from East Asia to North America in Winter 2020/21.

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Yao, Y., Zhang, W., Luo, D. et al. Seasonal Cumulative Effect of Ural Blocking Episodes on the Frequent Cold events in China during the Early Winter of 2020/21. Adv. Atmos. Sci. 39, 609–624 (2022). https://doi.org/10.1007/s00376-021-1100-4

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  • Received: 16 March 2021

  • Revised: 17 August 2021

  • Accepted: 17 September 2021

  • Published: 07 January 2022

  • Issue date: April 2022

  • DOI: https://doi.org/10.1007/s00376-021-1100-4

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Key words

  • extreme cold events
  • Ural blocking
  • Arctic sea ice
  • Arctic vortex
  • cumulative effect

关键词

  • 极冷事件
  • 乌拉尔阻塞
  • 北极海冰
  • 极涡
  • 累积效应

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