2015
DOI: 10.1007/s00382-015-2805-9
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Role of the North Pacific sea surface temperature in the East Asian winter monsoon decadal variability

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Cited by 50 publications
(37 citation statements)
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“…The correlation coefficients are 0.46 (detrended: 0.42) and 0.51 (detrended: 0.53) based on the ERA-20C and 20CR datasets for the period 1900-2009, respectively, and they are significant at α = 0.01. The results here are generally consistent with the physical mechanism simulated by Sun et al (2016), which demonstrates the role of the northwestern Pacific SST in the EAWM. Furthermore, the correlation coefficient between normalized persistent haze days and°°°°°F igure 5.…”
Section: Connections Between the Meridional Wind Anomalysupporting
confidence: 86%
“…The correlation coefficients are 0.46 (detrended: 0.42) and 0.51 (detrended: 0.53) based on the ERA-20C and 20CR datasets for the period 1900-2009, respectively, and they are significant at α = 0.01. The results here are generally consistent with the physical mechanism simulated by Sun et al (2016), which demonstrates the role of the northwestern Pacific SST in the EAWM. Furthermore, the correlation coefficient between normalized persistent haze days and°°°°°F igure 5.…”
Section: Connections Between the Meridional Wind Anomalysupporting
confidence: 86%
“…Physically, our results indicate that cooler KSST intensifies the East Asian grand trough, in agreement with Sun et al . () and Zhang et al . ().…”
Section: Conclusion and Discussionmentioning
confidence: 90%
“…Physically, although the Kuroshio region is located to the east of the East China region downstream, KSST can influence ECT through impacts on large‐scale circulation, especially the East Asia grand trough, and these impacts could be attributed to the thermal wind theory, in agreement with the results in Sun et al . (). Figure displays the distribution of the latitudinal–vertical distribution of the meridional temperature gradient regression averaged along 120–150°E.…”
Section: Observational Resultsmentioning
confidence: 97%
“…In addition to the wind trends from the reanalysis in our study, McVicar et al [] reviewed the wind speed trend during recent decades and showed a decreasing trend over eastern China in all of the studies they reviewed, which confirms our results. The reduced wind speed is driven by the interplay of many factors, including the weakening of the East Asian monsoon resulting from global warming [ Hu et al , ; Xu et al , ; Jiang et al , ; Guo et al , ], a shift in the dominant mode of the Arctic Oscillation [ He and Wang , ], the variability in North Pacific sea surface temperature [ Sun et al , ], the interdecadal variations of quasi‐stationary planetary waves [ L. Wang et al , ], and urbanization [ Li et al , ]. Figures e and f show the DJF mean surface wind speed trend over 1985–2005 and 1980–2014 from the GSOD database.…”
Section: Relative Importance Of Each Meteorological Parametermentioning
confidence: 99%