Article(id=1242137837953429970, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242137826846909094, articleNumber=null, orderNo=8, doi=10.3981/j.issn.1000-7857.2019.20.006, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1546358400000, receivedDateStr=2019-01-02, revisedDate=1563292800000, revisedDateStr=2019-07-17, acceptedDate=null, acceptedDateStr=null, onlineDate=1573001905433, onlineDateStr=2019-11-06, pubDate=1572192000000, pubDateStr=2019-10-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1573001905433, onlineIssueDateStr=2019-11-06, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078338368, creator=sys-migrate, updateTime=1774078338368, updator=sys-migrate, issue=Issue{id=1242137826846909094, tenantId=1146029695717560320, journalId=1146031591421210625, year='2019', volume='37', issue='20', pageStart='1', pageEnd='100', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078335721, creator=sys-migrate, updateTime=1774078335721, updator=sys-migrate, preIssue=null, nextIssue=null, ext=null, issueFiles=null}, startPage=49, endPage=64, ext={EN=ArticleExt(id=1242137842000933389, articleId=1242137837953429970, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Study of road surface temperature by using the land surface temperature retrieval products from meteorological satellite data, columnId=1242137831821353662, journalTitle=Science & Technology Review, columnName=Exclusive: Meteorological Disaster Prevention and Reduction, runingTitle=null, highlight=null, articleAbstract=The applicability of the land surface temperature retrieval products in the road surface temperature monitored for typical highway sections is studied by using the FY-2G and Himawari-8 products. It is suggested that the satellite land surface temperature retrieval products can reflect the diurnal cycle and the daily change of the road surface temperature well, with a good relationship between the two. According to the high correlation between the road surface temperature and the satellite retrieval product, a revised model is established by using the linear regression method. The rolling revised satellite land surface temperature retrieval products give results much closer to the road surface temperature observations than the original results. The absolute deviation in summer is reduced to 2.57℃ from 6.98℃, and the absolute deviation in winter is reduced to 1.62℃ from 3.84℃., correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=uLz06GaGdT4bfJr8bgAnUg==, pdfFileSize=7959029, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=1. Public Meteorological Service Center, Beijing, 100081, China;
2. Beijing Weather Information Service Co., Ltd., Beijing, 100081, China;
3. Moji Co., Ltd., Beijing, 100081, China, fund=null, authors=FENG Lei¹, ZHANG Kaiyi², GAO Jingjing¹, DAI Zhixiu³, authorsList=FENG Lei, ZHANG Kaiyi, GAO Jingjing, DAI Zhixiu), CN=ArticleExt(id=1242137840415486465, articleId=1242137837953429970, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=气象卫星遥感陆表温度产品在公路路面温度监测中的应用, columnId=1242137830844080820, journalTitle=科技导报, columnName=专题：气象防灾减灾, runingTitle=null, highlight=null, articleAbstract=使用FY-2G和Himawari-8卫星反演陆表温度产品，以天津境内津蓟高速和山西境内京昆高速有交通站观测的路段为试验对象，开展了卫星反演陆表温度产品在公路路面温度监测中的适用性及应用方法研究。卫星遥感陆表温度能够较好地反映出公路路面温度的日变化特征和逐日变化趋势，两者之间具有较好的相关性。使用线性回归方法，建立了卫星陆表温度的订正模型，并对实时卫星陆表温度产品进行滚动订正，大大降低了卫星反演陆表温度与实际路面温度之间的偏差。夏季时段平均绝对偏差由订正前的6.98℃降低至2.57℃，冬季时段由订正前的3.84℃降低至1.62℃。该方法在2017年5月18日京津冀周边地区一次高温过程路面温度的监测分析中具有较好的应用效果。, correspAuthors=null, authorNote=冯蕾,高级工程师,研究方向为交通气象服务,电子信箱:fenglei21cn@163.com, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=69eBHrQfoqGXQTEspRfQaA==, pdfFileSize=7959029, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=1. 中国气象局公共气象服务中心, 北京, 100081;
2. 北京维艾思气象信息科技有限公司, 北京, 100081;
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