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GOES ABI Detection of Thin Cirrus over Land

dc.contributor.authorTheodore M. McHardy
dc.contributor.authorJames R. Campbell
dc.contributor.authorDavid A. Peterson
dc.contributor.authorSimone Lolli
dc.contributor.authorAnne Garnier
dc.contributor.authorArunas P. Kuciauskas
dc.contributor.authorMelinda L. Surratt
dc.contributor.authorJared W. Marquis
dc.contributor.authorSteven D. Miller
dc.contributor.authorErica K. Dolinar
dc.contributor.authorXiquan Dong
dc.date.accessioned2023-04-12T18:53:12Z
dc.date.available2023-04-12T18:53:12Z
dc.date.copyright2022/09/01
dc.date.issued2022
dc.identifier.otherJTECH-D-21-0160.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4290418
dc.description.abstractThis study develops a new thin cirrus detection algorithm applicable to overland scenes. The methodology builds from a previously developed overwater algorithm, which makes use of the
dc.publisherAmerican Meteorological Society
dc.titleGOES ABI Detection of Thin Cirrus over Land
dc.typeJournal Paper
dc.journal.volume39
dc.journal.issue9
dc.journal.titleJournal of Atmospheric and Oceanic Technology
dc.identifier.doi10.1175/JTECH-D-21-0160.1
dc.journal.fristpage1415
dc.journal.lastpage1429
dc.page1415–1429
dc.treeJournal of Atmospheric and Oceanic Technology:;2022:;volume( 039 ):;issue: 009
dc.contenttypeFulltext


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