首站-论文投稿智能助手
典型文献
Revisiting BCC-SESM parameters sensitivity with BCC-CSM1.1 co2-concentration-driven simulations
文献摘要:
Based on the results of the complex climate model BCC-CSM,the Beijing Climate Center Simple Earth System Model(BCC-SESM)was developed for climate system simulations in Integrated Assessment Models(IAMs).The first version of the BCC-SESM model was based on a high-emissions scenario(ESMRCP8.5)and tends to overestimate the temperatures in low and medium emissions scenarios.To address this problem,this study uses three CO2-concentration-driven simulations under different RCP scenarios of complex climate models to evaluate parameters sensitivity and their impacts on projection efficacy.The results show that the new version of the BCC-SESM(denoted as BCC-SESM 1.1)model based on a medium-emissions scenario experiment(RCP4.5)is more suitable for temperature projections for various climate scenarios.It can well reproduce the original value of complex climate model.At the same time,it also has high predictive efficacies for medium(RCP4.5)and low(RCP2.6)emissions scenarios,although it tends to underestimate for high emissions scenario(RCP8.5).The sensitivity tests for different RCP scenarios shows that the BCC-SESM 1.1 has higher efficacy in projections of future climate change than those model versions based on the other scenarios.The projection deviations for the global average temperature by the BCC-SESM 1.1(<2%)are better than the previous BCC-SESM(<5%).In light of recent progress in climate policy,the BCC-SESM1.1 is hence more suitable for coupling with IAMs for the purposes of assessing climate outcomes.
文献关键词:
作者姓名:
Chang-Yi LIU;Ying LU;Xue-Li SHI;Guo-Quan HU;Qiu-Feng LIU;Chao WEI;Yun-Fei CAO
作者机构:
National Climate Centre,China Meteorological Administration(CMA),Beijing 100081,China;Global Energy Interconnection Group Corporation(GEIDCO),Beijing 100031,China;North China Electric Power University(Baoding),Baoding 071003,China;CMA Earth System Modeling and Prediction Centre,Beijing 100081,China;Center for Energy&Environmental Policy Research,Beijing Institute of Technology,Beijing 100081,China
引用格式:
[1]Chang-Yi LIU;Ying LU;Xue-Li SHI;Guo-Quan HU;Qiu-Feng LIU;Chao WEI;Yun-Fei CAO-.Revisiting BCC-SESM parameters sensitivity with BCC-CSM1.1 co2-concentration-driven simulations)[J].气候变化研究进展(英文版),2022(03):301-308
A类:
SESM,co2,IAMs,ESMRCP8,SESM1
B类:
Revisiting,BCC,parameters,sensitivity,CSM1,concentration,driven,simulations,Based,results,complex,climate,Beijing,Climate,Center,Simple,Earth,System,was,developed,system,Integrated,Assessment,Models,first,emissions,tends,overestimate,temperatures,low,medium,scenarios,To,address,this,problem,study,uses,three,different,models,evaluate,their,impacts,efficacy,that,new,denoted,experiment,RCP4,more,suitable,projections,various,It,can,well,reproduce,original,value,At,same,also,has,predictive,efficacies,RCP2,although,underestimate,tests,shows,higher,future,change,than,those,versions,other,deviations,global,average,by,are,better,previous,light,recent,progress,policy,hence,coupling,purposes,assessing,outcomes
AB值:
0.41039
相似文献
Detection of oil spill based on CBF-CNN using HY-1C CZI multispectral images
Kai Du;Yi Ma;Zongchen Jiang;Xiaoqing Lu;Junfang Yang-College of Geodesy and Geomatics,Shandong University of Science and Technology,Qingdao 266590,China;First Institute of Oceanology,Ministry of Natural Resources,Qingdao 266061,China;Technology Innovation Center for Ocean Telemetry,Ministry of Natural Resources,Qingdao 266061,China;National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology,Xi'an 710072,China;School of Electronics and Information Engineering,Harbin Institute of Technology,Harbin 150001,China;National Satellite Ocean Application Service,Beijing 100081,China;College of Oceanography and Space Informatics,China University of Petroleum(East China),Qingdao 266580, China
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
Surface air temperature changes over the Tibetan Plateau:Historical evaluation and future projection based on CMIP6 models
Rui Chen;Haoying Li;Xuejia Wang;Xiaohua Gou;Meixue Yang;Guoning Wan-Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research,Potsdam 14473,Germany;Geography Department,Humboldt University of Berlin,Berlin 10099,Germany;IRI THESys,Humboldt University of Berlin,Berlin 10099,Germany;Key Laboratory of Western China's Environmental Systems(Ministry of Education),College of Earth and Environmental Sciences,Lanzhou University,Lanzhou 730000,China;Gansu Liancheng Forest Ecosystem Field Observation and Research Station,Lanzhou University,Lanzhou 730333,China;State Key Laboratory of Cryospheric Science,Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China
Global mitigation efforts cannot neglect emerging emitters
Can Cui;Dabo Guan;Daoping Wang;Jing Meng;Vicky Chemutai;Paul Brenton;Shaohui Zhang;Yuli Shan;Qiang Zhang;Steven J.Davis-Department of Earth System Science,Tsinghua University,Beijing 100084,China;The Bartlett School of Sustainable Construction,University College London,London,WC1E 6BT,UK;Department of Computer Science and Technology,University of Cambridge,Cambridge CB3 OFD,UK;Centre for Nature and Climate,World Economic Forum,Geneva CH-1223,Switzerland;School of Urban and Regional Science,Shanghai University of Finance and Economics,Shanghai 200433,China;The World Bank,NW Washington,DC 20433,USA;School of Economics and Management,Beihang University,Beijing 100191,China;InternationalInstitute for Applied Systems Analysis,Laxenburg 2361,Austria;School of Geography,Earth and Environmental Sciences,University of Birmingham,Birmingham,B15 2TT,UK;Department of Earth System Science,University of California Irvine,Irvine,CA 92697,USA;Department of Civil and Environmental Engineering,University of California Irvine,Irvine,CA 92697,USA
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。