Yang Shuting

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Yang
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Shuting
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  • Article
    Arctic troposphere warming driven by external radiative forcing and modulated by the Pacific and Atlantic
    (American Geophysical Union, 2022-12-04) Suo, Lingling ; Gao, Yongqi ; Gastineau, Guillaume ; Liang, Yu‐Chiao ; Ghosh, Rohit ; Tian, Tian ; Zhang, Ying ; Kwon, Young‐Oh ; Matei, Daniela ; Otterå, Odd Helge ; Yang, Shuting
    During the past decades, the Arctic has experienced significant tropospheric warming, with varying decadal warming rates. However, the relative contributions from potential drivers and modulators of the warming are yet to be further quantified. Here, we utilize a unique set of multi‐model large‐ensemble atmospheric simulations to isolate the respective contributions from the combined external radiative forcing (ERF‐AL), interdecadal Pacific variability (IPV), Atlantic multidecadal variability (AMV), and Arctic sea‐ice concentration changes (ASIC) to the warming during 1979–2013. In this study, the ERF‐AL impacts are the ERF impacts directly on the atmosphere and land surface, excluding the indirect effects through SST and SIC feedback. The ERF‐AL is the primary driver of the April–September tropospheric warming during 1979–2013, and its warming effects vary at decadal time scales. The IPV and AMV intensify the warming during their transitioning periods to positive phases and dampen the warming during their transitioning periods to negative phases. The IPV impacts are prominent in winter and spring and are stronger than AMV impacts on 1979–2013 temperature trends. The warming impacts of ASIC are generally restricted to below 700 hPa and are strongest in autumn and winter. The combined effects of these factors reproduce the observed accelerated and step‐down Arctic warming in different decades, but the intensities of the reproduced decadal variations are generally weaker than in the observed.
  • Article
    Simulated contribution of the interdecadal Pacific oscillation to the west Eurasia cooling in 1998–2013
    (IOP Publishing, 2022-08-30) Suo, Lingling ; Gastineau, Guillaume ; Gao, Yongqi ; Liang, Yu-Chiao ; Ghosh, Rohit ; Tian, Tian ; Zhang, Ying ; Kwon, Young-Oh ; Otterå, Odd Helge ; Yang, Shuting ; Matei, Daniela
    Large ensemble simulations with six atmospheric general circulation models involved are utilized to verify the interdecadal Pacific oscillation (IPO) impacts on the trend of Eurasian winter surface air temperatures (SAT) during 1998–2013, a period characterized by the prominent Eurasia cooling (EC). In our simulations, IPO brings a cooling trend over west-central Eurasia in 1998–2013, about a quarter of the observed EC in that area. The cooling is associated with the phase transition of the IPO to a strong negative. However, the standard deviation of the area-averaged SAT trends in the west EC region among ensembles, driven by internal variability intrinsic due to the atmosphere and land, is more than three times the isolated IPO impacts, which can shadow the modulation of the IPO on the west Eurasia winter climate.
  • Article
    Forcing and impact of the Northern Hemisphere continental snow cover in 1979–2014
    (European Geosciences Union, 2023-05-23) Gastineau, Guillaume ; Frankignoul, Claude ; Gao, Yongqi ; Liang, Yu-Chiao ; Kwon, Young-Oh ; Cherchi, Annalisa ; Ghosh, Rohit ; Manzini, Elisa ; Matei, Daniela ; Mecking, Jennifer ; Suo, Lingling ; Tian, Tian ; Yang, Shuting ; Zhang, Ying
    The main drivers of the continental Northern Hemisphere snow cover are investigated in the 1979–2014 period. Four observational datasets are used as are two large multi-model ensembles of atmosphere-only simulations with prescribed sea surface temperature (SST) and sea ice concentration (SIC). A first ensemble uses observed interannually varying SST and SIC conditions for 1979–2014, while a second ensemble is identical except for SIC with a repeated climatological cycle used. SST and external forcing typically explain 10 % to 25 % of the snow cover variance in model simulations, with a dominant forcing from the tropical and North Pacific SST during this period. In terms of the climate influence of the snow cover anomalies, both observations and models show no robust links between the November and April snow cover variability and the atmospheric circulation 1 month later. On the other hand, the first mode of Eurasian snow cover variability in January, with more extended snow over western Eurasia, is found to precede an atmospheric circulation pattern by 1 month, similar to a negative Arctic oscillation (AO). A decomposition of the variability in the model simulations shows that this relationship is mainly due to internal climate variability. Detailed outputs from one of the models indicate that the western Eurasia snow cover anomalies are preceded by a negative AO phase accompanied by a Ural blocking pattern and a stratospheric polar vortex weakening. The link between the AO and the snow cover variability is strongly related to the concomitant role of the stratospheric polar vortex, with the Eurasian snow cover acting as a positive feedback for the AO variability in winter. No robust influence of the SIC variability is found, as the sea ice loss in these simulations only drives an insignificant fraction of the snow cover anomalies, with few agreements among models.