Article(id=1314918401299022115, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314918356222829028, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1740585600000, receivedDateStr=2025-02-27, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791430576871, onlineDateStr=2026-10-08, pubDate=1763568000000, pubDateStr=2025-11-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791430576871, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791430576871, creator=13701087609, updateTime=1791430576871, updator=13701087609, issue=Issue{id=1314918356222829028, tenantId=1146029695717560320, journalId=1234093305789726721, year='2025', volume='45', issue='11', pageStart='5921', pageEnd='6512', issueExtLink='null', onlineDate='null', pubDate='1763568000000', pubDateStr='2025-11-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1791430566125, creator='13701087609', updateTime=1791431596967, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314922679942078535, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314918356222829028, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314922679942078536, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314918356222829028, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=6045, endPage=6057, ext={EN=ArticleExt(id=1314918401634566436, articleId=1314918401299022115, tenantId=1146029695717560320, journalId=1234093305789726721, language=EN, title=Study on the applicability of the Earth system variable grid technology to the simulation of atmospheric composition in East Asia, columnId=1234106386020365051, journalTitle=China Environmental Science, columnName=Air Pollution Control, runingTitle=null, highlight=null, articleAbstract=
This study establishes two sets of experiments to compare the performance of the latest version of the Community Earth System Model (CESM2) in simulating atmospheric pollutants over East Asia. The first set employs the MUSICA simulation with regional refinement over East Asia (SE), while the second set utilizes the conventional grid configuration of CESM (FCSD). Both simulations are evaluated against satellite and surface observations to assess the advantages of the variable-resolution approach in modeling regional air pollution over East Asia.Results demonstrate that while FCSD exhibits superior performance in simulating tropospheric ozone column concentrations due to its finer vertical resolution, the SE configuration outperforms FCSD in capturing surface O3, CO, and NO2levels over China. Compared to observational data from the China National Environmental Monitoring Centre (CNEMC), SE reduces mean seasonal biases by approximately 5.0%, 6.4%, and 52.9% for O3, CO, and NO2, respectively, relative to FCSD. Furthermore, the Earth System Model framework provides a comprehensive representation of stratospheric chemistry and dynamics, offering a powerful tool for investigating stratosphere-troposphere exchange processes. This capability holds significant implications for both global climate change research and regional air quality management.
, authors=Yi-chao ZHOU
1, Xue-wei HOU
1, *, Man YUE
2, Yu-xiang JIN
1, authorsList=Yi-chao ZHOU, Xue-wei HOU, Man YUE, Yu-xiang JIN, authorCompany=null, correspAuthors=Xue-wei HOU, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1314918403421339941, articleId=1314918401299022115, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=地球系统变网格技术对东亚地区大气成分的模拟适用性研究, columnId=1234106388364981004, journalTitle=中国环境科学, columnName=大气污染与控制, runingTitle=null, highlight=null, articleAbstract=
设置两组实验用于对比当前最新版本地球系统模型(CESM2)对东亚地区的大气污染物模拟性能,一组为在东亚地区进行区域加密的MUSICA模拟实验(SE),另一组为传统网格的CESM模拟实验(FCSD),并将其与卫星及地表观测结果进行对比分析,明确可变分辨率模式对东亚地区大气污染的模拟性能.研究表明,虽然在垂直分辨率上,FCSD因其更细致的分层而展现出对对流层臭氧柱浓度模拟的优势.但在中国区域,更精细的网格分辨率使得SE在模拟O3,CO以及NO2方面的表现优于FCSD,SE的四季平均值与中国环境监测总站(CNEMC)站点数据集之间的误差比FCSD分别降低约了5.0%,6.4%以及52.9%.而且地球系统模型相较于区域模型来说还具备完整的平流层化学和动力学过程,为研究平流层-对流层物质交换等事件提供了有力工具,对理解全球气候变化和区域空气质量管理具有重要意义.
, authors=周逸超
1, 侯雪伟
1, *, 乐满
2, 金宇翔
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周逸超(2001-),男,贵州铜仁人,南京信息工程大学硕士研究生,研究方向为气象工程.202312480013@nuist.edu.cn.
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周逸超(2001-),男,贵州铜仁人,南京信息工程大学硕士研究生,研究方向为气象工程.202312480013@nuist.edu.cn.
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1.南京信息工程大学,气象灾害预报预警与评估协同创新中心,气象灾害教育部重点实验室,气候与环境变化国际合作联合实验室,中国气象局气溶胶与云降水重点开放实验室,江苏 南京 210044)])]), Author(id=1314918404004348210, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918401299022115, orderNo=1, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=houxw@nuist.edu.cn, emailSecond=null, emailThird=null, correspondingAuthor=1, authorType=1, ext={EN=AuthorExt(id=1314918404084039988, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918401299022115, authorId=1314918404004348210, language=EN, stringName=Xue-wei HOU, firstName=Xue-wei, middleName=null, lastName=HOU, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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1.南京信息工程大学,气象灾害预报预警与评估协同创新中心,气象灾害教育部重点实验室,气候与环境变化国际合作联合实验室,中国气象局气溶胶与云降水重点开放实验室,江苏 南京 210044)])]), Author(id=1314918404247617847, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918401299022115, orderNo=2, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=null, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1314918404302143801, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918401299022115, authorId=1314918404247617847, language=EN, stringName=Man YUE, firstName=Man, middleName=null, lastName=YUE, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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1.Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Joint International Research Laboratory of Climate and Environment Change, Key Laboratory of Meteorological Disaster, Ministry of Education, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1314918404616716607, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918401299022115, authorId=1314918404453138748, language=CN, stringName=金宇翔, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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1.南京信息工程大学,气象灾害预报预警与评估协同创新中心,气象灾害教育部重点实验室,气候与环境变化国际合作联合实验室,中国气象局气溶胶与云降水重点开放实验室,江苏 南京 210044)])])], keywords=[Keyword(id=1314918404750934336, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918401299022115, language=EN, orderNo=1, keyword=CESM2), Keyword(id=1314918404855791937, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918401299022115, language=EN, orderNo=2, keyword=MUSICAv0), Keyword(id=1314918404906123586, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918401299022115, language=EN, orderNo=3, keyword=regional refinement), Keyword(id=1314918404973232451, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918401299022115, language=EN, orderNo=4, keyword=pollutant simulation), Keyword(id=1314918405057118532, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918401299022115, language=CN, orderNo=1, keyword=CESM2), Keyword(id=1314918405124227397, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918401299022115, language=CN, orderNo=2, keyword=MUSICAv0), Keyword(id=1314918405191336262, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918401299022115, language=CN, orderNo=3, keyword=区域细化), Keyword(id=1314918405254250823, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918401299022115, language=CN, orderNo=4, keyword=污染物模拟)], refs=null, funds=[Fund(id=1314918405375885640, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918401299022115, awardId=2022YFC3701204, language=CN, fundingSource=国家重点研发计划项目(2022YFC3701204), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1314918403622666534, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918401299022115, xref=1., ext=[AuthorCompanyExt(id=1314918403631055143, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918401299022115, companyId=1314918403622666534, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
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1.南京信息工程大学,气象灾害预报预警与评估协同创新中心,气象灾害教育部重点实验室,气候与环境变化国际合作联合实验室,中国气象局气溶胶与云降水重点开放实验室,江苏 南京 210044)]), AuthorCompany(id=1314918403710746921, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918401299022115, xref=2., ext=[AuthorCompanyExt(id=1314918403723329834, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918401299022115, companyId=1314918403710746921, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
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