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.
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Acknowledgments
This research was supported by the Strategic Priority Research Program of the Chinese Academy of Sciences (XDA20020202), the National Natural Science Foundation of China (41790424), the Key Program from CAS (ZDRW-ZS-2017-4), and the Key Program from CAS (QYZDBSSW-DQC005). The gridded precipitation dataset was available through the Climatic Research Unit, University of East Anglia (CRU), and the atmospheric circulation datasets, including geopotential height, meridional, and zonal wind, were available through the NOAA-CIRES twentieth Century Reanalysis dataset (https://psl.noaa.gov/data/20thC_Rean/). The atmospheric circulation indices and SST indices were acquired from the website at https://www.esrl.noaa.gov/psd/data/climateindices/list/.
Funding
Strategic Priority Research Program of the Chinese Academy of Sciences (XDA20020202);
National Natural Science Foundation of China (41790424);
Key Program from CAS (ZDRW-ZS-2017-4; QYZDBSSW-DQC005);
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XZ and QG designed the research; MH and MB analyzed the data and illustrated the plots; XZ wrote the paper. QG revised the original paper.
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Zhang, X., He, M., Bai, M. et al. Meteorological drought and its large-scale climate patterns in each season in Central Asia from 1901 to 2015. Climatic Change 166, 41 (2021). https://doi.org/10.1007/s10584-021-03131-y
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DOI: https://doi.org/10.1007/s10584-021-03131-y