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dc.contributor.authorBertrand, C.
dc.contributor.authorClerbaux, N.
dc.contributor.authorIpe, A.
dc.contributor.authorDewitte, S.
dc.contributor.authorGonzalez, L.
dc.coverage.temporal21st century
dc.date2005
dc.date.accessioned2016-03-07T16:16:50Z
dc.date.accessioned2021-12-09T09:53:31Z
dc.date.available2016-03-07T16:16:50Z
dc.date.available2021-12-09T09:53:31Z
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/8677
dc.descriptionBecause radiometers do not measure the earth's outgoing flux directly, angular distribution models (ADMs) are used to invert measured radiances at the top of atmosphere (TOA) to flux. However, data used to build ADMs are generally not sorted for mixed scene types, and anisotropic correction factors for such scenes are not usually available. In the present study, we have analyzed shortwave (SW) flux values retrieved over nine areas representative of a junction between two different ADM scene types in the Meteosat-7 field of view. The Clouds and the Earth's Radiant Energy System (CERES) broadband SW ADMs were used to perform the radiance-to-flux conversion. Because of the large anisotropy difference that can exist between ADMs, use of the ADM that corresponds to the scene type with the highest percent coverage over footprints containing a mixture of scene types generates instantaneous as well as systematic errors in the retrieved SW flux values. Nevertheless, in the absence of available mixed scene type ADMs, we show that the CERES on the Tropical Rainfall Measuring Mission satellite SW ADMs can be combined together to provide reliable mixed scene types anisotropic correction factors. The use of such anisotropic factors appears to be especially well suited along the coastline of continents.
dc.languageeng
dc.publisherIRM
dc.publisherKMI
dc.publisherRMI
dc.relation.ispartofseriesIEEE Transactions on geoscience and remote sensing, Vol.43, no 1
dc.titleAngular distribution models, anisotropic correction factors, and mixed clear-scene types: A sensitivity study
dc.typeArticle
dc.subject.frascatiEarth and related Environmental sciences
dc.audienceGeneral Public
dc.audienceScientific
dc.subject.freeatmospheric techniques
dc.subject.freeMicrowave measurement
dc.subject.freeradiative transfer
dc.subject.freeradiometry
dc.subject.freeremote sensing
dc.subject.freesunldightAdd-drop multiplexers
dc.subject.freeAnisotropic magnetoresistance
dc.subject.freeAtmosphere
dc.subject.freeAtmospheric measurements
dc.subject.freeAtmospheric modeling
dc.subject.freeClouds
dc.subject.freeEarth
dc.subject.freeLayout
dc.subject.freeRadiometers
dc.subject.freeSatellite broadcasting
dc.source.issueIEEE Transactions on geoscience and remote sensing, Vol.43, no 1
dc.source.pagepp. 92-102
Orfeo.peerreviewedNot pertinent


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