Possible impacts of winter Arctic Oscillation on Siberian high, the East Asian winter monsoon and sea–ice extent

2002 ◽  
Vol 19 (2) ◽  
pp. 297-320 ◽  
Author(s):  
Wu Bingyi ◽  
Wang Jia
Keyword(s):  
Sea Ice ◽  
Arctic Oscillation ◽  
East Asian Winter Monsoon ◽  
East Asian ◽  
Winter Monsoon ◽  
Sea Ice Extent ◽  
Siberian High ◽  
Asian Winter Monsoon

scholarly journals East Asian Winter Monsoon and Arctic Oscillation

2001 ◽  
Vol 28 (10) ◽  
pp. 2073-2076 ◽  
Author(s):  
Dao-Yi Gong ◽  
Shao-Wu Wang ◽  
Jin-Hong Zhu
Keyword(s):  
Arctic Oscillation ◽  
East Asian Winter Monsoon ◽  
East Asian ◽  
Winter Monsoon ◽  
Asian Winter Monsoon

scholarly journals Erratum to: Interannual variations of the dominant modes of East Asian winter monsoon and possible links to Arctic sea ice

2016 ◽  
Vol 48 (9-10) ◽  
pp. 3455-3455
Author(s):  
Chenghu Sun ◽  
Song Yang ◽  
Weijing Li ◽  
Ruonan Zhang ◽  
Renguang Wu
Keyword(s):  
Sea Ice ◽  
East Asian Winter Monsoon ◽  
East Asian ◽  
Winter Monsoon ◽  
Arctic Sea Ice ◽  
Interannual Variations ◽  
Asian Winter Monsoon ◽  
Arctic Sea

scholarly journals On the Strengthened Relationship between the East Asian Winter Monsoon and Arctic Oscillation: A Comparison of 1950–70 and 1983–2012

2014 ◽  
Vol 27 (13) ◽  
pp. 5075-5091 ◽  
Author(s):  
Fei Li ◽  
Huijun Wang ◽  
Yongqi Gao
Keyword(s):  
Arctic Oscillation ◽  
East Asian Winter Monsoon ◽  
East Asian ◽  
Winter Monsoon ◽  
Arctic Sea Ice ◽  
Northern Eurasia ◽  
Tropical Region ◽  
Horizontal Structure ◽  
Near Surface ◽  
Asian Winter Monsoon

In this paper, the authors use NCEP reanalysis and 40-yr ECMWF Re-Analysis (ERA-40) data to document the strengthened relationship between the East Asian winter monsoon (EAWM) and winter Arctic Oscillation (AO) on the interannual time scale with a comparison of 1950–70 and 1983–2012. Their connection was statistically insignificant during 1950–70, whereas it was statistically significant during 1983–2012. The latter significant connection might be attributed to the East Asian jet stream (EAJS) upstream extension: the EAJS signal is relatively confined to the western North Pacific before the 1970s, whereas it extends westward toward East Asia after the 1980s. This upstream extension leads to the rearrangement of eastward-propagating Rossby waves with a much wider horizontal structure, thereby bonding the EAWM and the AO. Furthermore, the authors present observational evidence and model simulations demonstrating that the reduction of autumn Arctic sea ice cover (ASIC) is responsible for the strengthened EAWM–AO relationship after the 1980s by producing the EAJS upstream extension. After the 1980s, a strong anticyclonic anomaly over the polar ocean and anomalous easterly advection over northern Eurasia are generated by the near-surface heating over the Barents–Kara (B–K) Seas caused by the reduction of ASIC. This further induces cold anomalies over northern Eurasia, altering the meridional temperature gradient between the midlatitude and tropical region and consequently leading to westward penetration of the EAJS.

Interannual variations of the dominant modes of East Asian winter monsoon and possible links to Arctic sea ice

2015 ◽  
Vol 47 (1-2) ◽  
pp. 481-496 ◽  
Author(s):  
Chenghu Sun ◽  
Song Yang ◽  
Weijing Li ◽  
Ruonan Zhang ◽  
Renguang Wu
Keyword(s):  
Sea Ice ◽  
East Asian Winter Monsoon ◽  
East Asian ◽  
Winter Monsoon ◽  
Arctic Sea Ice ◽  
Interannual Variations ◽  
Asian Winter Monsoon ◽  
Arctic Sea

scholarly journals Distinct Modes of the East Asian Winter Monsoon

2006 ◽  
Vol 134 (8) ◽  
pp. 2165-2179 ◽  
Author(s):  
Bingyi Wu ◽  
Renhe Zhang ◽  
Rosanne D’Arrigo
Keyword(s):  
East Asia ◽  
Atmospheric Circulation ◽  
East Asian Winter Monsoon ◽  
Southern Oscillation ◽  
East Asian ◽  
Winter Monsoon ◽  
The Arctic ◽  
East Asian Trough ◽  
Siberian High ◽  
Asian Winter Monsoon

Abstract Two distinct modes of the East Asian winter monsoon (EAWM) have been identified, and they correspond to real and imaginary parts of the leading mode of the EAWM, respectively. Analyses of these modes used the National Centers for Environment Prediction (NCEP) and National Center for Atmospheric Research (NCAR) monthly mean reanalysis datasets for the period 1968–2003, as well as the Southern Oscillation index (SOI), North Atlantic Oscillation index, and eastern equatorial Pacific sea surface temperature (SST) data. Results were obtained by resolving a complex Hermite matrix derived from 850-hPa anomalous wind fields, and determining the resulting modes’ associations with several climate variables. The first distinct mode (M1) is characterized by an anomalous meridional wind pattern over East Asia and the western North Pacific. Mode M1 is closely related to several features of the atmospheric circulation, including the Siberian high, East Asian trough, East Asian upper-tropospheric jet, and local Hadley circulation over East Asia. Thus, M1 reflects the traditional EAWM pattern revealed in previous studies. The second distinct EAWM mode (M2), which was not identified previously, displays dominant zonal wind anomalies over the same area. Mode M2 exhibits a closer relation than M1 to sea level pressure anomalies over the northwestern Pacific southeast of Japan and with the SOI and equatorial eastern Pacific SST. Unlike M1, M2 does not show coherent relationships with the Siberian high, East Asian trough, and East Asian upper-tropospheric jet. Since atmospheric circulation anomalies relevant to M2 exhibit a quasi-barotropic structure, its existence cannot simply be attributed to differential land–sea heating. El Niño events tend to occur in the negative phase of M1 and the positive phase of M2, both corresponding to a weakened EAWM. The Arctic Oscillation does not appear to impact the EAWM on interannual time scales. Although the spatial patterns for the two modes are very different, the two distinct modes are complementary, with the leading EAWM mode being a linear combination of the two. The results herein therefore demonstrate that a single EAWM index may be inappropriate for investigating and predicting the EAWM.

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