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Meteorological drought and its large-scale climate patterns in each season in Central Asia from 1901 to 2015

Author

Listed:
  • Xuezhen Zhang

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Miao He

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Mengxin Bai

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Quansheng Ge

    (Chinese Academy of Sciences)

Abstract

The long-term variations in meteorological drought and its large-scale climate patterns in each season in Central Asia from 1901 to 2015 remain unclear. Here, this issue is addressed using meteorology measurements and reanalysis data through correlation and composite analyses. The drought intensity index (DII) and extent index (DEI) do not exhibit significant linear trends from 1901 to 2015 but do exhibit interannual to interdecadal variations. Both the DII and DEI are highly correlated with the tropical Niño 4 sea surface temperature (SST) and extratropical atmospheric teleconnections, including the East Atlantic (EA) pattern, the East Atlantic/West Russia (EAWR) pattern, and the Arctic oscillation (AO), but with seasonal discrepancies in terms of the degree of influence. The winter drought is strongly linked to both the negative EA and negative EAWR patterns, while spring and autumn drought are strongly linked to the negative EAWR and negative EA patterns, respectively. In the winter, spring, and autumn, drought is also closely linked to below normal Niño 4 SST. The links to EA and EAWR patterns are mainly derived from their impacts on precipitation in the central and northern sectors, while the link to Niño 4 SST is mainly derived from its impacts on precipitation in the southern sector. By considering both drought intensity and drought extent, the ten extreme drought years for each season are selected and, through composite analysis, their large-scale climate patterns are studied. The extreme drought generally occurs in the contexts of a negative EA pattern in winter, a negative EAWR pattern in spring, and a negative AO pattern in autumn. As an exception, summer drought is weakly correlated with Niño 4 SST and is not correlated with extratropical atmospheric teleconnections.

Suggested Citation

  • Xuezhen Zhang & Miao He & Mengxin Bai & Quansheng Ge, 2021. "Meteorological drought and its large-scale climate patterns in each season in Central Asia from 1901 to 2015," Climatic Change, Springer, vol. 166(3), pages 1-18, June.
    • Handle: RePEc:spr:climat:v:166:y:2021:i:3:d:10.1007_s10584-021-03131-y
    DOI: 10.1007/s10584-021-03131-y
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    References listed on IDEAS

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    1. Margaret Sugg & Jennifer Runkle & Ronnie Leeper & Hannah Bagli & Andrew Golden & Leah Hart Handwerger & Tatiana Magee & Camila Moreno & Rhiannon Reed-Kelly & Michelle Taylor & Sarah Woolard, 2020. "A scoping review of drought impacts on health and society in North America," Climatic Change, Springer, vol. 162(3), pages 1177-1195, October.
    2. Muhammad Ashraf & Jayant Routray, 2015. "Spatio-temporal characteristics of precipitation and drought in Balochistan Province, Pakistan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(1), pages 229-254, May.
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    1. Huili He & Rafiq Hamdi & Geping Luo & Peng Cai & Xiuliang Yuan & Miao Zhang & Piet Termonia & Philippe Maeyer & Alishir Kurban, 2022. "The summer cooling effect under the projected restoration of Aral Sea in Central Asia," Climatic Change, Springer, vol. 174(1), pages 1-21, September.
    2. Joanna Wicher-Dysarz & Tomasz Dysarz & Joanna Jaskuła, 2022. "Uncertainty in Determination of Meteorological Drought Zones Based on Standardized Precipitation Index in the Territory of Poland," IJERPH, MDPI, vol. 19(23), pages 1-18, November.

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