Lejiang Yu

Dr. Lejiang Yu

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Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 April 2017 in Scientific Reports
Verified
Journal Article
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LYLejiang Yu
Lejiang Yu
SZShiyuan Zhong
Shiyuan Zhong
JWJulie A. Winkler
Julie A. Winkler
MZMingyu Zhou
Mingyu Zhou
DLDonald H. Lenschow
Donald H. Lenschow
QYQinghua Yang
Qinghua Yang
Sea ice is an important component of the global climate system and a key indicator of climate change. A decreasing trend in Arctic sea-ice concentration is evident in recent years, whereas Antarctic sea-ice concentration exhibits a generally increasing trend. Various studies have investigated the underlying causes of the observed trends for each region, but possible linkages between the regional trends have not been studied. Here, we hypothesize that the opposite trends in Arctic and Antarctic sea-ice concentration may be linked, at least partially, through interdecadal variability of the Pacific Decadal Oscillation (PDO) and the Atlantic Multidecadal Oscillation (AMO). Although evaluation of this hypothesis is constrained by the limitations of the sea-ice cover record, preliminary statistical analyses of one short-term and two long-term time series of observed and reanalysis sea-ice concentrations data suggest the possibility of the hypothesized linkages. For all three data sets, the leading mode of variability of global sea-ice concentration is positively correlated with the AMO and negatively correlated with the PDO. Two wave trains related to the PDO and the AMO appear to produce anomalous surface-air temperature and low-level wind fields in the two polar regions that contribute to the opposite changes in sea-ice concentration.

16 January 2020 in Atmosphere
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Journal Article
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LYLejiang Yu
Lejiang Yu
SZSharon Zhong
Sharon Zhong
BSBo Sun
Bo Sun
Surface wind trends and variability over Antarctica and the Southern Ocean and their implications to wind energy in the region are analyzed using the gridded ERA-Interim reanalysis data between 1979 and 2017 and the Self-Organizing Map (SOM) technique. In general, surface winds are stronger over the coastal regions of East Antarctica and the Transantarctic Mountains and weaker over the Ross and Ronne ice shelves and the Antarctic Peninsula; and stronger in winter and weaker in summer. Winds in the southern Indian and Pacific Oceans and along coastal regions exhibit a strong interannual variability that appears to be correlated to the Antarctic Oscillation (AAO) index. A significantly positive trend in surface wind speeds is found across most regions and about 20% and 17% of the austral autumn and summer wind trends, respectively, and less than 1% of the winter and spring wind trends may be explained by the trends in the AAO index. Except for the Antarctic Peninsula, Ronne and Ross ice shelves, and small areas in the interior East Antarctica, most of the continent is found to be suitable for the development of wind power.

13 July 2021 in Theoretical and Applied Climatology
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Journal Article
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LYLejiang Yu
Lejiang Yu
SZShiyuan Zhong
Shiyuan Zhong

3 June 2022 in Geophysical Research Letters
Verified
Journal Article
Closed access
LYLejiang Yu
Lejiang Yu
SZSharon Zhong
Sharon Zhong
TVTimo Vihma
Timo Vihma
CSCuijuan Sui
Cuijuan Sui
BSBo Sun
Bo Sun

4 February 2019 in Journal of Climate
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Journal Article
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LYLejiang Yu
Lejiang Yu
SZShiyuan Zhong
Shiyuan Zhong
MZMingyu Zhou
Mingyu Zhou
DLDonald H. Lenschow
Donald H. Lenschow
BSBo Sun
Bo Sun
The sharp decline of Arctic sea ice in recent decades has captured the attention of the climate science community. A majority of climate analyses performed to date have used monthly or seasonal data. Here, however, we analyze daily sea ice data for 1979–2016 using the self-organizing map (SOM) method to further examine and quantify the contributions of atmospheric circulation changes to the melt-season Arctic sea ice variability. Our results reveal two main variability modes: the Pacific sector mode and the Barents and Kara Seas mode, which together explain about two-thirds of the melt-season Arctic sea ice variability and more than 40% of its trend for the study period. The change in the frequencies of the two modes appears to be associated with the phase shift of the Pacific decadal oscillation (PDO) and the Atlantic multidecadal oscillation (AMO). The PDO and AMO trigger anomalous atmospheric circulations, in particular, the Greenland high and the North Atlantic Oscillation and anomalous warm and cold air advections into the Arctic Ocean. The changes in surface air temperature, lower-atmosphere moisture, and downwelling longwave radiation associated with the advection are consistent with the melt-season sea ice anomalies observed in various regions of the Arctic Ocean. These results help better understand the predictability of Arctic sea ice on multiple (synoptic, intraseasonal, and interannual) time scales.

13 May 2020 in Journal of Geophysical Research: Atmospheres
Verified
Journal Article
Open access
PDF file
LYLejiang Yu
Lejiang Yu
SZSharon Zhong
Sharon Zhong
TVTimo Vihma
Timo Vihma
CSCuijuan Sui
Cuijuan Sui
YQYubao Qiu
Yubao Qiu
XLXi Liang
Xi Liang
The relative importance of the factors contributing to Arctic spring sea ice decline remains an open question. Here we suggest a new major factor. In spring the North Pacific Gyre Oscillation (NPGO) shows a significantly increasing trend during 1998–2016, in contrast to the insignificant trend of the Pacific Decadal Oscillation (PDO) index. Nearly 40% of Arctic springtime sea ice concentration trend is statistically related to the increase of the NPGO index but only 4% to the PDO trend. Through the destructive linear interference with climatological Aleutian low, the increasing NPGO index tends to weaken the upward propagation of planetary waves, which enhances the strength of the stratospheric Arctic vortex and the Arctic Oscillation (AO). The positive AO anomalies influence the surface wind field and temperature pattern anomalies, contributing to negative sea ice anomalies in the Arctic.