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Performance comparison of the MODIS and the VIIRS 1.38 μm cirrus cloud channels using libRadtran and CALIOP data

dc.contributor.authorXia, Lang
dc.contributor.authorZhao, Fen
dc.contributor.authorChen, Liping
dc.contributor.authorZhang, Ruirui
dc.contributor.authorMao, Kebiao
dc.contributor.authorKylling, Arve
dc.contributor.authorMa, Ying
dc.date.accessioned2018-05-25T07:33:14Z
dc.date.available2018-05-25T07:33:14Z
dc.date.created2018-02-05T10:38:49Z
dc.date.issued2018
dc.identifier.citationRemote Sensing of Environment. 2018, 206 363-374.nb_NO
dc.identifier.issn0034-4257
dc.identifier.urihttp://hdl.handle.net/11250/2499176
dc.language.isoengnb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.subjectModelleringnb_NO
dc.subjectModellingnb_NO
dc.subjectFjernmålingnb_NO
dc.subjectRemote sensingnb_NO
dc.subjectAtmosfære og klimanb_NO
dc.subjectAtmosphere and climatenb_NO
dc.titlePerformance comparison of the MODIS and the VIIRS 1.38 μm cirrus cloud channels using libRadtran and CALIOP datanb_NO
dc.title.alternativePerformance comparison of the MODIS and the VIIRS 1.38 μm cirrus cloud channels using libRadtran and CALIOP datanb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.rights.holder© 2017 Elsevier Inc. All rights reserved.nb_NO
dc.source.pagenumber363-374nb_NO
dc.source.volume206nb_NO
dc.source.journalRemote Sensing of Environmentnb_NO
dc.identifier.doi10.1016/j.rse.2017.12.040
dc.identifier.cristin1561775
cristin.unitcode7460,57,0,0
cristin.unitnameAtmosfære og klima
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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