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dc.contributor.authorTirelli, C.
dc.contributor.authorCeccherini, S.
dc.contributor.authorZoppetti, N.
dc.contributor.authorBianco, S.D.
dc.contributor.authorGai, M.
dc.contributor.authorBarbara, F.
dc.contributor.authorCortesi, U.
dc.contributor.authorKujanpää, J.
dc.contributor.authorHuan, Y.
dc.contributor.authorDragani, R.
dc.date2020
dc.date.accessioned2022-12-30T09:09:57Z
dc.date.available2022-12-30T09:09:57Z
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/10717
dc.descriptionThe complete data fusion method, generalized to the case of fusing profiles of atmospheric variables retrieved on different vertical grids and referred to different true values, is applied to ozone profiles retrieved from simulated measurements in the ultraviolet, visible, and thermal infrared spectral ranges for the Sentinel-4 and Sentinel-5 missions of the Copernicus program. In this study, the production and characterization of combined low Earth orbit (Sentinel-5) and geostationary Earth orbit (Sentinel-4) fused ozone data is performed. Fused and standard products have been compared and a performance assessment of the generalized complete data fusion is presented. The analysis of the output products of the complete data fusion algorithm and of the standard processing using quality quantifiers demonstrates that the generalized complete data fusion algorithm provides products of better quality when compared with standard products.
dc.languageeng
dc.titleData fusion analysis of sentinel-4 and sentinel-5 simulated ozone data
dc.typeArticle
dc.subject.frascatiEarth and related Environmental sciences
dc.audienceScientific
dc.subject.freeOzone
dc.subject.freeAlgorithms
dc.subject.freeData processing
dc.subject.freeRemote sensing
dc.subject.freeSatellite observations
dc.subject.freeInverse methods
dc.source.titleJournal of Atmospheric and Oceanic Technology
dc.source.volume37
dc.source.issue4
dc.source.page573-587
Orfeo.peerreviewedYes
dc.identifier.doi10.1175/JTECH-D-19-0063.1
dc.identifier.scopus2-s2.0-85084921102


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