Impact of Greenland blocking on midlatitude extreme cold weather: Modulation of Arctic sea ice in western Greenland

In this study, we analyzed 1979–2019 daily ERA-Interim reanalysis data in winter and performed atmospheric circulation experiments to examine the modulation of Arctic sea ice in western Greenland (Baffin Bay, Davis Strait, and the Labrador Sea, BDL) on winter Greenland blockings. It is found that lo...

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Veröffentlicht in:Science China. Earth sciences 2021-07, Vol.64 (7), p.1065-1079
Hauptverfasser: Chen, Xiaodan, Luo, Dehai
Format: Artikel
Sprache:eng
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Zusammenfassung:In this study, we analyzed 1979–2019 daily ERA-Interim reanalysis data in winter and performed atmospheric circulation experiments to examine the modulation of Arctic sea ice in western Greenland (Baffin Bay, Davis Strait, and the Labrador Sea, BDL) on winter Greenland blockings. It is found that low BDL sea ice and high BDL surface temperature favor frequent, long-lived, westward-moving Greenland blockings in winter, which cause frequent and strengthening cold surges over the mid-eastern United States. In contrast, high BDL sea ice and low BDL surface temperature favor short-lived, less frequent and quasi-stationary Greenland blockings, mainly leading to cold anomalies in North Europe. Low wintertime BDL sea ice reduces the background potential vorticity meridional gradient (PV y ) and zonal wind over the mid-high latitudes of the North Atlantic, which enhances the nonlinearity of Greenland blocking, accelerates the phase speed of its westward movement, and weakens its energy dispersion, thus favoring the occurrence and persistence of Greenland blocking. High BDL sea ice strengthens the background PV y and zonal wind in the mid-high latitudes of the North Atlantic, which weakens the nonlinearity and movement of Greenland blocking, enhances its energy dispersion, and thus suppresses the occurrence and persistence of Greenland blocking and its retrogression. A set of atmospheric circulation experiments supports the above results based on the reanalysis dataset.
ISSN:1674-7313
1869-1897
DOI:10.1007/s11430-020-9782-2