检索结果-南通市图书馆

Science China Earth Sciences 2020年第5期63卷 726-730页

作者： Qingcun ZENG Lin WU kece fei Institute of Atmospheric Physics Chinese Academy of SciencesBeijing 100029China

In part Ⅰ of this paper series, the application of an incomplete adjoint operator to calculate the optimal reduction of the total emissions S was suggested. This paper, part Ⅱ of the series, focuses on calculating the reduction of the anthropogenic emission source S. As aSc(the source term due to the chemical reaction in the atmosphere) is a complex function of the pollutant concentration, we propose an iterative optimization method using a positive-negative discriminant to obtain Sfrom he aS. Tconvergence of the iterations is also proven in this paper.

关键词： Air pollution Anthropogenic emission source Source due to chemical reaction Optimal control Iterative optimization Positive-negative discriminant

CAS-ESM2.0 Successfully Reproduces Historical Atmospheric CO_(2) in a Coupled Carbon−Climate Simulation

在线全文

学校读者我要写书评

暂无评论

Advances in Atmospheric Sciences 2024年第4期41卷 572-580页

作者： Jiawen ZHU Juanxiong HE Duoying JI Yangchun LI He ZHANG Minghua ZHANG Xiaodong ZENG kece fei Jiangbo JIN International Center for Climate and Environment Sciences Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD) Nanjing University of Information Science&TechnologyNanjing 210044China College of Global Change and Earth System Science Beijing Normal UniversityBeijing 100875China State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric Physics Chinese Academy of SciencesBeijing 100029China School of Marine and Atmospheric Sciences Stony Brook UniversityNY 11790USA University of Chinese Academy of Sciences Beijing 100049China

The atmospheric carbon dioxide(CO_(2))concentration has been increasing rapidly since the Industrial Revolution,which has led to unequivocal global warming and crucial environmental *** is extremely important to investigate the interactions among atmospheric CO_(2),the physical climate system,and the carbon cycle of the underlying surface for a better understanding of the Earth *** system models are widely used to investigate these interactions via coupled carbon-climate *** Chinese Academy of Sciences Earth System Model version 2(CAS-ESM2.0)has successfully fixed a two-way coupling of atmospheric CO_(2)with the climate and carbon cycle on land and in the *** CAS-ESM2.0,we conducted a coupled carbon-climate simulation by following the CMIP6 proposal of a historical emissions-driven *** paper examines the modeled CO_(2)by comparison with observed CO_(2)at the sites of Mauna Loa and Barrow,and the Greenhouse Gases Observing Satellite(GOSAT)CO_(2)*** results showed that CAS-ESM2.0 agrees very well with observations in reproducing the increasing trend of annual CO_(2)during the period 1850-2014,and in capturing the seasonal cycle of CO_(2)at the two baseline sites,as well as over northern high *** agreements illustrate a good ability of CAS-ESM2.0 in simulating carbon-climate interactions,even though uncertainties remain in the processes *** paper reports an important stage of the development of CAS-ESM with the coupling of carbon and climate,which will provide significant scientific support for climate research and China’s goal of carbon neutrality.

关键词： CAS-ESM atmospheric CO_(2) coupled carbon-climate simulation emissions-driven CMIP6 experiment

CAS-ESM2.0 Dataset for the Carbon Dioxide Removal Model Intercomparison Project(CDRMIP)

在线全文

学校读者我要写书评

暂无评论

Advances in Atmospheric Sciences 2024年第5期41卷 989-1000页

作者： Jiangbo JIN Duoying JI Xiao DONG kece fei Run GUO Juanxiong HE Yi YU Zhaoyang CHAI He ZHANG Dongling ZHANG Kangjun CHEN Qingcun ZENG International Center for Climate and Environment Sciences Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China State Key Laboratory of Satellite Ocean Environment Dynamics Second Institute of OceanographyMinistry of Natural ResourcesHangzhou 310012China State Key Laboratory of Earth Surface Processes and Resource Ecology College of Global Change and Earth System ScienceBeijing Normal UniversityBeijing 100875China State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China

Understanding the response of the Earth system to varying concentrations of carbon dioxide(CO_(2))is critical for projecting possible future climate change and for providing insight into mitigation and adaptation strategies in the near *** this study,we generate a dataset by conducting an experiment involving carbon dioxide removal(CDR)—a potential way to suppress global warming—using the Chinese Academy of Sciences Earth System Model version 2.0(CASESM2.0).A preliminary evaluation is *** model is integrated from 200–340 years as a 1%yr^(−1) CO_(2) concentration increase experiment,and then to~478 years as a carbon dioxide removal experiment until CO_(2) returns to its original ***,another 80 years is integrated in which CO_(2) is kept *** in the 2-m temperature,precipitation,sea surface temperature,ocean temperature,Atlantic meridional overturning circulation(AMOC),and sea surface height are all *** the ramp-up period,the global mean 2-m temperature and precipitation both increase while the AMOC *** of all the above variables change in the opposite direction in the ramp-down period,with a delayed peak relative to the CO_(2) *** CO_(2) returns to its original value,the global mean 2-m temperature is still~1 K higher than in the original state,and precipitation is~0.07 mm d^(–1) *** the end of the simulation,there is a~0.5°C increase in ocean temperature and a 1 Sv weakening of the *** model simulation produces similar results to those of comparable experiments previously reported in the literature.

关键词： CAS-ESM2.0 CDRMIP carbon dioxide removal AMOC temperature precipitation sea surface height

一个适用于地球系统模式（CAS-ESM）的在线气溶胶与大气化学分量模式（IAP-AACM）的发展与评估

在线全文

学校读者我要写书评

暂无评论

气候与环境研究 2020年第1期25卷 1-18页

作者：王自发魏颖陈学舜陈焕盛何卷雄费可测李杰王威张明华中国科学院大气物理研究所大气边界层物理与大气化学国家重点实验室北京100029 中国科学院大学北京100049 中国科学院城市环境研究所区域大气环境研究卓越创新中心福建厦门361021 中国科学院大气物理研究所国际气候与环境科学中心北京100029 中国环境监测总站北京100012 纽约州立大学石溪分校纽约11790

地球系统模式是研究全球气候与生态环境变化问题的重要工具,气溶胶与大气化学模式负责为其中的大气环流模式提供与气候效应有关的气态化学物质和气溶胶成分。本文在全球嵌套网格空气质量预报模式系统的基础上发展了一个适用于中国科学... 详细信息

地球系统模式是研究全球气候与生态环境变化问题的重要工具,气溶胶与大气化学模式负责为其中的大气环流模式提供与气候效应有关的气态化学物质和气溶胶成分。本文在全球嵌套网格空气质量预报模式系统的基础上发展了一个适用于中国科学院地球系统模式(CAS-ESM)耦合计算的气溶胶与大气化学分量模式(IAPAACM),采用简化的气相化学机制,不仅考虑了人为气溶胶,同时考虑了海盐、沙尘和二甲基硫等自然气溶胶及其前体物的在线排放。评估结果表明,IAP-AACM氧化剂插值计算可靠,采用简化机制和碳键机制(CBM-Z)模拟的差异较小。和观测的对比表明,得益于CAS-ESM的气溶胶双向反馈作用,简化版能够较好地抓住气溶胶及其前体物的空间分布,为IAP-AGCM提供可靠的气溶胶模拟。另外,简化版能大幅提升计算效率,满足CASESM耦合长期积分的需求。为了在全球气候变化的研究中提供更完善的气溶胶模拟,未来考虑在IAP-AACM中增加氮化学和臭氧平流层化学机制。

关键词：模式评估气溶胶化学机制 IAP-AGCM模式 IAP-AACM模式