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dc.contributor.authorSofieva, V.F.
dc.contributor.authorLaeng, A.
dc.contributor.authorvon Clarmann, T.
dc.contributor.authorStiller, G.
dc.contributor.authorKiefer, M.
dc.contributor.authorTamminen, J.
dc.contributor.authorRozanov, A.
dc.contributor.authorArosio, C.
dc.contributor.authorLivesey, N.
dc.contributor.authorDamadeo, R.
dc.contributor.authorSheese, P.
dc.contributor.authorWalker, K.A.
dc.contributor.authorDegenstein, D.
dc.contributor.authorZawada, D.
dc.contributor.authorKramarova, N.A.
dc.contributor.authorKeppens, A.
dc.date2026
dc.date.accessioned2026-03-18T13:25:45Z
dc.date.available2026-03-18T13:25:45Z
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/14632
dc.descriptionFor satellite measurements of atmospheric composition, the random uncertainty estimates provided by retrieval algorithms might be imperfect due to various approximations used in the retrievals or the presence of unknown error sources. This paper presents an overview of the methods used for the validation of random uncertainty estimates. All methods discussed in this study are categorized, and assumptions and limitations of each method are discussed. This overview evaluates these methods in application to ozone profile measurements from limb and occultation satellite instruments and provides practical illustrations of random uncertainty validation.
dc.languageeng
dc.titleMethods for validation of random uncertainty estimates and their applications to ozone profiles from limb-viewing satellite instruments
dc.typearticle
dc.subject.frascatiEarth and related Environmental sciences
dc.audienceScientific
dc.source.titleAtmospheric Measurement Techniques
dc.source.volume19
dc.source.issue5
dc.source.page1837-1852
Orfeo.peerreviewedYes
dc.identifier.doi10.5194/amt-19-1837-2026
dc.identifier.urlhttps://difusion.ulb.ac.be/vufind/Record/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209709/Holdings


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