Article(id=1242139364218712387, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242139350532694884, articleNumber=null, orderNo=11, doi=10.3981/j.issn.1000-7857.2021.15.006, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1603555200000, receivedDateStr=2020-10-25, revisedDate=1618761600000, revisedDateStr=2021-04-19, acceptedDate=null, acceptedDateStr=null, onlineDate=1631006027630, onlineDateStr=2021-09-07, pubDate=1628784000000, pubDateStr=2021-08-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1631006027630, onlineIssueDateStr=2021-09-07, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078702258, creator=sys-migrate, updateTime=1774078702258, updator=sys-migrate, issue=Issue{id=1242139350532694884, tenantId=1146029695717560320, journalId=1146031591421210625, year='2021', volume='39', issue='15', pageStart='1', pageEnd='148', issueExtLink='null', onlineDate='null', pubDate='1628784000000', pubDateStr='2021-08-13', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078698997, creator='sys-migrate', updateTime=1774078698997, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=54, endPage=66, ext={EN=ArticleExt(id=1242139369881019288, articleId=1242139364218712387, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Overview of satellite remote sensing technology for marine atmospheric and environment observation, columnId=1242139362264166721, journalTitle=Science & Technology Review, columnName=Exclusive: Meteorological satellites for meteorological disaster monitoring and early warning, runingTitle=null, highlight=null, articleAbstract=Satellite remote sensing is the best way to observe the vast ocean-atmosphere. With the development of satellite remote sensing technology in recent years, remarkable progress has been made in atmosphere and marine environment remote-sensing, and data assimilation in climate model. This paper summarizes the the latest development of marine meteorological satellite monitoring capabilities, methods and related products in sea fog, strong convection over ocean and marine environmental monitoring. And this provides the background and application information about ocean-atmosphere remote-sensing for scientific researchers and engineers., authors=TIAN Lin, WANG Xi, YANG Bingyun, WU Xiaojing, authorsList=TIAN Lin, WANG Xi, YANG Bingyun, WU Xiaojing, authorCompany=National Satellite Meteorological Center, China Meteorological Administration, Beijing 100081, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=LtmqMi0fAeaWvHGL3Q+aQg==, pdfFileSize=5578414, 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=1242139367209247624, articleId=1242139364218712387, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=海洋大气和环境卫星遥感技术进展, columnId=1242139360439644472, journalTitle=科技导报, columnName=专题：气象卫星应用于气象灾害监测预警, runingTitle=null, highlight=null, articleAbstract=分别从海雾、海上强对流、海洋环境监测角度，介绍了卫星遥感监测能力、方法和相关产品的最新进展。卫星监测能力上，发展方向主要为高低轨、主被动协同观测；数据提取和产品反演方面，遥感反演算法趋于多样化且逐渐稳定成熟。基于卫星遥感对高层大气（以强对流为代表）、边界层大气（以海雾为代表）以及海洋环境（以海洋藻类、水体组分参数为代表）的评估，已经从科学研究过渡到业务监测，进一步提升了对海洋大气和生态环境的监测能力。, authors=田林, 王曦, 杨冰韵, 吴晓京, authorsList=田林, 王曦, 杨冰韵, 吴晓京, authorCompany=国家卫星气象中心, 北京 100081, correspAuthors=null, authorNote=田林,工程师,研究方向为大气和海洋卫星遥感,电子信箱:tianl@cma.gov.cn, correspAuthorsNote=吴晓京(通信作者),研究员,研究方向为卫星资料天气监测与预报中的应用,电子信箱:wuxj8@cma.gov.cn, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=9gqBnOm0Gzrrb6X0qulOHg==, pdfFileSize=5578414, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, 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