Yanan Ma, Weiyi Sun, Jian Liu, Liang Ning, Deliang Chen, Kan Zhao, Xianqiang Meng, Mi Yan, Huayu Lu
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Continental shelf area inundation drove reduced temperature seasonality in East Asia during the last deglaciation
East Asia (EA) has experienced a decreasing trend in the summer-to-winter temperature difference (temperature seasonality) in the context of ongoing global warming. However, the impacts of natural external forcing remain unclear. The last deglaciation, marked by substantial global warming, provides a paleoclimate context for understanding the roles of natural forcing in EA temperature seasonality changes. Here, using transient simulations (iTraCE), we demonstrate that EA experienced greater winter warming compared to summer during the last deglaciation, supported by paleo-climatic reconstructions. Sensitivity experiments indicate that the inundation of continental shelf area due to rising sea-level played a critical role in driving these differential warming trends. Further quantifications highlight the contributions of greater heat capacity instead of reduced surface albedo of the expanded ocean area. Resulting atmospheric responses expanded the seasonality change to EA landmass by cloud‒radiation feedback and temperature advection processes. These findings provide insight into the potential climatic impacts of sea-level rise under ongoing global warming.
期刊介绍:
npj Climate and Atmospheric Science is an open-access journal encompassing the relevant physical, chemical, and biological aspects of atmospheric and climate science. The journal places particular emphasis on regional studies that unveil new insights into specific localities, including examinations of local atmospheric composition, such as aerosols.
The range of topics covered by the journal includes climate dynamics, climate variability, weather and climate prediction, climate change, ocean dynamics, weather extremes, air pollution, atmospheric chemistry (including aerosols), the hydrological cycle, and atmosphere–ocean and atmosphere–land interactions. The journal welcomes studies employing a diverse array of methods, including numerical and statistical modeling, the development and application of in situ observational techniques, remote sensing, and the development or evaluation of new reanalyses.