Article(id=1242133857026252848, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242133836251869266, articleNumber=null, orderNo=11, doi=10.3981/j.issn.1000-7857.2015.17.006, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1434556800000, receivedDateStr=2015-06-18, revisedDate=1436803200000, revisedDateStr=2015-07-14, acceptedDate=null, acceptedDateStr=null, onlineDate=1442036797513, onlineDateStr=2015-09-12, pubDate=1442073600000, pubDateStr=2015-09-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1442036797513, onlineIssueDateStr=2015-09-12, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774077389242, creator=sys-migrate, updateTime=1774077389242, updator=sys-migrate, issue=Issue{id=1242133836251869266, tenantId=1146029695717560320, journalId=1146031591421210625, year='2015', volume='33', issue='17', pageStart='1', pageEnd='112', issueExtLink='null', onlineDate='null', pubDate='1442073600000', pubDateStr='2015-09-13', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774077384289, creator='sys-migrate', updateTime=1774077384289, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=63, endPage=68, ext={EN=ArticleExt(id=1242133862424322140, articleId=1242133857026252848, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Global and China-based regional near-surface distributions of CO₂ concentrations based on GOSAT L4B data, columnId=1150494642224591153, journalTitle=Science & Technology Review, columnName=Exclusive, runingTitle=null, highlight=null, articleAbstract=CO₂ is the most important greenhouse gas and the main cause of the global warming. In this paper, GOSAT L4B data sets of CO₂ concentrations near the ground are used for the analysis of the global and regional distributions of CO₂. It is found that the ground CO₂ concentration is significantly higher in the Northern Hemisphere than in the southern hemisphere. The yearly CO₂ concentration growth rate is about 2 ppm. The global high-value areas are in places of large populations and developed economics in East Asia, Russia, Europe and the United States. In the Northern Hemisphere seasonal distributions of CO₂ concentrations near the ground, the highest CO₂ concentration appears in winter and the lowest in summer. CO₂ concentration near ground in China has significantly high values in North China and the Yangtze River Delta region, with obvious seasonal variations, with the highest monthly average value of 396.5 ppm in April and the minimum value of 382.8 ppm in July., authors=WANG Shupeng¹, ZHANG Xingying¹, WANG Weihe¹, FANG Li², authorsList=WANG Shupeng, ZHANG Xingying, WANG Weihe, FANG Li, authorCompany=1. National Satellite Meteorological Center, China Meteorological Administration, Beijing 100081, China;
2. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China, correspAuthors=null, authorNote=null, correspAuthorsNote=10.3981/j.issn.1000-7857.2015.17.006, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=ARMWCcPbjRULRLFgJLz4sQ==, pdfFileSize=4376955, 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=1242133859408617543, articleId=1242133857026252848, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=基于GOSATL4B数据的全球和中国区域近地面CO₂含量变化分析, columnId=1242116902361830275, journalTitle=科技导报, columnName=专题论文, runingTitle=null, highlight=null, articleAbstract=CO₂作为最重要的温室气体,是造成全球温室效应的主要原因之一。利用GOSAT L4B 全球分布数据,分析全球及中国地区近地面CO₂含量的时空分布特征。研究发现,北半球近地面CO₂含量明显高于南半球,CO₂年增长率约2 ppm。全球高值区主要出现在东亚、俄罗斯、欧洲和美国等人口众多、经济发达地区。北半球近地面CO₂含量季节分布显示,冬季的CO₂含量最高,夏季最低。中国区域近地面CO₂含量在空间分布上较为集中,东西差异显著,总体呈东高西低的特征,高值区主要集中于中国华北和长三角地区。中国范围内近地面CO₂含量具有明显的季节变化特征,月平均含量4 月(春季)升至最高值,为396.5ppm;7 月(夏季)降至最低值,为382.8ppm。, authors=王舒鹏¹, 张兴赢¹, 王维和¹, 方莉², authorsList=王舒鹏, 张兴赢, 王维和, 方莉, authorCompany=1. 中国气象局国家卫星气象中心, 北京100081;
2. 中国科学院遥感与数字地球研究所, 北京100101, correspAuthors=null, authorNote=王舒鹏,助理研究员,研究方向为大气成分卫星遥感,电子信箱:wangsp@cma.gov.cn, correspAuthorsNote=方莉,助理研究员,研究方向为大气气溶胶及地表反射率遥感,电子信箱:fangli@radi.ac.cn, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=8zcDokYLvRC56EAWYu0N4Q==, pdfFileSize=4376955, 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=国家高技术研究发展计划(863计划)项目(2011AA12A104);国家自然科学基金项目(41306185);高分辨率对地观测系统重大专项气象应用示范项目(E310/1112);高分辨率对地观测系统重大专项应用共性关键技术项目(Y20A-D23);中国气象局公益性行业(气象)科研专项(GY-HY201106045))}, authors=[Author(id=1280944226846359993, tenantId=1146029695717560320, journalId=null, articleId=1242133857026252848, orderNo=null, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=null, 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