首站-论文投稿智能助手
典型文献
Improvements on the upper-ocean simulation from 2007 to 2018 in the Canada Basin
文献摘要:
The Beaufort Gyre reserves most of the freshwater in the Arctic Ocean.Observation shows that the freshwater content over 2016-2018 far exceeds the level over the plateau period 2008-2012.Modeling the vertical temperature and salinity structure and their changes in the Beaufort Gyre is a way to understand the process related to such step changes.We configured a pan-Arctic sea ice-ocean model with a southern boundary at~7°N in the Atlantic Ocean.The numerical simulation with sea surface salinity restoring,a latitude dependent horizontal diffusivity scaled by the squared buoyancy frequency,and a weak vertical diffusivity of 5×10-7 m2 s-1 in the Arctic Ocean better reproduces the sea ice extent,the Pacific summer halocline water,and the freshwater variations as observed.The sea surface salinity restoring mitigates the surface desalination in the North Atlantic Ocean,therefore a weaker ocean stratification prevents the excessive warming in the intermediate Arctic Ocean.It is also found that the weak vertical background diffusivity is the major factor in our model to preserve the vertical ocean structure in the Canada Basin and also the step change of freshwater recently.In addition to resolving eddy activities in high resolution models,the success in our low resolution model suggests that tuning the vertical diffusivity serves as another approach to simulate the increasing freshwater content in the recent decade.
文献关键词:
作者姓名:
Long-Jiang MU;Xiao-Yu WANG
作者机构:
Pilot National Laboratory for Marine Science and Technology(Qingdao),Qingdao 266237,China;Frontier Science Center for Deep Ocean Multispheres and Earth System(FDOMES),Physical Oceanography Laboratory,Ocean University of China,Qingdao 266100,China
引用格式:
[1]Long-Jiang MU;Xiao-Yu WANG-.Improvements on the upper-ocean simulation from 2007 to 2018 in the Canada Basin)[J].气候变化研究进展(英文版),2022(02):196-204
A类:
B类:
Improvements,upper,ocean,simulation,from,Canada,Basin,Beaufort,Gyre,reserves,most,freshwater,Arctic,Ocean,Observation,shows,that,content,over,far,exceeds,level,plateau,period,Modeling,vertical,temperature,salinity,structure,their,changes,is,way,understand,process,related,such,step,We,configured,pan,sea,ice,southern,boundary,Atlantic,numerical,surface,restoring,latitude,dependent,horizontal,diffusivity,scaled,by,squared,buoyancy,frequency,better,reproduces,extent,Pacific,summer,halocline,variations,observed,mitigates,desalination,North,therefore,weaker,stratification,prevents,excessive,warming,intermediate,It,also,found,background,major,our,preserve,recently,In,addition,resolving,eddy,activities,high,resolution,models,success,low,suggests,tuning,another,approach,simulate,increasing,decade
AB值:
0.532143
相似文献
Contributions of shortwave radiation to the formation of tempera-ture inversions in the Bay of Bengal and eastern equatorial Indian Ocean: A modeling approach
K M Azam Chowdhury;Wensheng Jiang;Changwei Bian;Guimei Liu;Md Kawser Ahmed;Shaila Akhter-College of Oceanic and Atmospheric Sciences,Ocean University of China,Qingdao 266100,China;Department of Oceanography&International Centre for Ocean Governance(ICOG),University of Dhaka,Dhaka 1000,Bangladesh;National Marine Environmental Forecasting Center,Beijing 100081,China;Key Lab of Marine Environment and Ecology of Ministry of Education,Ocean University of China,Qingdao 266100,China;Frontiers Science Center for Deep Ocean Multispheres and Earth System(FDOMES),Ocean University of China,Qingdao 266100,China;Pilot National Laboratory for Marine Science and Technology(Qingdao),Qingdao 266237,China;Bangladesh Betar,Ministry of Information and Broadcasting,Government of the People's Republic of Bangladesh,Dhaka 1207,Bangladesh
Ocean Response to a Climate Change Heat-Flux Perturbation in an Ocean Model and Its Corresponding Coupled Model
Jiangbo JIN;Xiao DONG;Juanxiong HE;Yi YU;Hailong LIU;Minghua ZHANG;Qingcun ZENG;He ZHANG;Xin GAO;Guangqing ZHOU;Yaqi WANG-International Center for climate and Environment Sciences(ICCES),Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100049,China;State Key Laboratory of Satellite Ocean Environment Dynamics,Second Institute of Oceanography,Ministry of Natural Resources,Hangzhou 310012,China;State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics(LASG),Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100049,China;College of Earth and Planetary Sciences,University of Chinese Academy of Sciences,Beijing 100049,China;School of Marine and Atmospheric Sciences,Stony Brook University,Stony Brook,New York,NY 11790,USA
The Predictability of Ocean Environments that Contributed to the 2020/21 Extreme Cold Events in China: 2020/21 La Ni?a and 2020 Arctic Sea Ice Loss
Fei ZHENG;Ji-Ping LIU;Xiang-Hui FANG;Mi-Rong SONG;Chao-Yuan YANG;Yuan YUAN;Ke-Xin LI;Jiang ZHU-International Center for Climate and Environment Science(ICCES),Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029,China;Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,Nanjing University of Information Science& Technology,Nanjing 210044,China;Department of Atmospheric and Environmental Sciences University at Albany,State University of New York,Albany,NY 12222,USA;Department of Atmospheric and Oceanic Sciences& Institute of Atmospheric Sciences,Fudan University,Shanghai 200438,China;State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics(LASG),Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029,China;School of Atmospheric Sciences,Sun Yat-sen University,Zhuhai 519082,China;National Climate Center,Beijing 100081,China;University of Chinese Academy of Sciences,Beijing 100049,China9Beijing Municipal Climate Center,Beijing 100089,China
机标中图分类号,由域田数据科技根据网络公开资料自动分析生成,仅供学习研究参考。