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Evaluating the Ozone Valley over the Tibetan Plateau in CMIP6 Models

Advances in Atmospheric Sciences 2022年第7期39卷 1167-1183页

作者： Kequan ZHANG Jiakang DUAN Siyi ZHAO Jiankai ZHANG james keeble Hongwen LIU Key Laboratory for Semi-Arid Climate Change of the Ministry of Education College of Atmospheric SciencesLanzhou UniversityLanzhou 730000China Department of Chemistry University of CambridgeCambridge CB21EWUK National Centre for Atmospheric Science Cambridge CB21EWUK

Total column ozone(TCO)over the Tibetan Plateau(TP)is lower than that over other regions at the same latitude,particularly in *** feature is known as the“TP ozone valley”.This study evaluates long-term changes in TCO and the ozone valley over the TP from 1984 to 2100 using Coupled Model Intercomparison Project Phase 6(CMIP6).The TP ozone valley consists of two low centers,one is located in the upper troposphere and lower stratosphere(UTLS),and the other is in the middle and upper ***,the CMIP6 models simulate the low ozone center in the UTLS well and capture the spatial characteristics and seasonal cycle of the TP ozone valley,with spatial correlation coefficients between the modeled TCO and the Multi Sensor Reanalysis version 2(MSR2)TCO observations greater than 0.8 for all CMIP6 *** analysis reveals that models which use fully coupled and online stratospheric chemistry schemes simulate the anticorrelation between the 150 hPa geopotential height and zonal anomaly of TCO over the TP better than models without interactive chemistry *** suggests that coupled chemical-radiative-dynamical processes play a key role in the simulation of the TP ozone *** CMIP6 models underestimate the low center in the middle and upper stratosphere when compared with the Microwave Limb Sounder(MLS)***,the bias in the middle and upper stratospheric ozone simulations has a marginal effect on the simulation of the TP ozone *** CMIP6 models predict the TP ozone valley in summer will deepen in the future.

关键词： Tibetan Plateau stratospheric ozone ozone valley CMIP6

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Responses of Arctic sea ice to stratospheric ozone depletion

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Science Bulletin 2022年第11期67卷 1182-1190页

作者： Jiankai Zhang Wenshou Tian John A.Pyle james keeble Nathan Luke Abraham Martyn P.Chipperfield Fei Xie Qinghua Yang Longjiang Mu Hong-Li Ren Lin Wang Mian Xu College of Atmospheric Sciences Lanzhou UniversityLanzhou 730000China Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) Zhuhai 519082China Department of Chemistry University of CambridgeCambridge CB21EWUK National Centre for Atmospheric Science Cambridge CB21EWUK School of Earth and Environment University of LeedsLeeds LS29JTUK College of Global Change and Earth System Science Beijing Normal UniversityBeijing 100875China School of Atmospheric Sciences Sun Yat-sen UniversityZhuhai 519082China Pilot National Laboratory for Marine Science and Technology(Qingdao) Qingdao 266237China State Key Laboratory of Severe Weather Institute of Tibetan Plateau&Polar MeteorologyChinese Academy of Meteorological SciencesBeijing 100081China Center for Monsoon System Research Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China

The Arctic has experienced several extreme springtime stratospheric ozone depletion events over the past four decades,particularly in 1997,2011 and ***,the impact of this stratospheric ozone depletion on the climate system remains poorly *** we show that the stratospheric ozone depletion causes significant reductions in the sea ice concentration(SIC)and the sea ice thickness(SIT)over the Kara Sea,Laptev Sea and East Siberian Sea from spring to *** is partially caused by enhanced ice transport from Barents-Kara Sea and East Siberian Sea to the Fram Strait,which is induced by a strengthened and longer lived polar vortex associated with stratospheric ozone ***,cloud longwave radiation and surface albedo feedbacks enhance the melting of Arctic sea ice,particularly along the coast of the Eurasian *** study highlights the need for realistic representation of stratosphere-troposphere interactions in order to accurately predict Arctic sea ice loss.

关键词：平流层臭氧东西伯利亚海北极海冰地表反照率喀拉海长波辐射拉普捷夫海海冰密集度

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