Environmental Research Letters (Jan 2024)

Modulation of the impact of winter-mean warm Arctic-cold Eurasia pattern on Eurasian cold extremes by the subseasonal variability

  • Sai Wang,
  • Minghu Ding,
  • Guancheng Li,
  • Wen Chen

DOI
https://doi.org/10.1088/1748-9326/ad2caf
Journal volume & issue
Vol. 19, no. 3
p. 034043

Abstract

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Utilizing ERA5 data, this study provides evidence that both the winter-mean state and subseasonal variability (SSV) of the warm Arctic-cold Eurasia (WACE) pattern significantly influence the frequency of cold extremes in Eurasia. The positive phase of winter-mean WACE (WACE _Mean ) or a stronger SSV of WACE (WACE _SSV ) corresponds to a higher occurrence of cold extremes over central Eurasia and East Asia. Furthermore, the study reveals that the impact of WACE _Mean on the cold extremes is modulated by WACE _SSV . During years characterized by a positive WACE _Mean and enhanced WACE _SSV , the associated winter-mean anticyclonic anomalies, combined with amplified subseasonal circulation fluctuations over the northern Eurasia continent, contribute to a significant increase in the blocking frequency over the Ural–Siberia region. This, in turn, contributes to an intensified occurrence of cold extremes in central Eurasia and East Asia. In contrast, during the years with a positive WACE _Mean but reduced WACE _SSV , in the absence of significant changes in the subseasonal circulation fluctuations, the winter-mean anticyclonic anomalies over the northern Eurasia continent do not exert a significant impact on Ural–Siberian blocking frequency by themselves. Consequently, there are no notable anomalies in the frequency of cold extremes over central Eurasia and East Asia. Finally, this study reveals that the differences in the distribution of the frequency anomalies in the blocking between the two sets of years are attributed to the constructive and destructive superposition of anomalies in subseasonal circulation fluctuations related to the WACE _Mean and WACE _SSV .

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