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dc.contributor.authorFokianos, Konstantinosen
dc.contributor.authorKedem, B.en
dc.contributor.authorQin, J.en
dc.contributor.authorHaferman, J. L.en
dc.contributor.authorShort, D. A.en
dc.creatorFokianos, Konstantinosen
dc.creatorKedem, B.en
dc.creatorQin, J.en
dc.creatorHaferman, J. L.en
dc.creatorShort, D. A.en
dc.date.accessioned2019-12-02T10:35:06Z
dc.date.available2019-12-02T10:35:06Z
dc.date.issued1998
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/56815
dc.description.abstractSuppose two instruments I0 and I1, measure the same quantity with the same resolution, where it is known that I0 is more reliable. The second, I1, is assumed a distortion of I0 in some sense. A statistical method is outlined where 1) the information from both I0 and I1 is combined to increase the reliability of I0 and 2) the distortion is quantified. An example is given in terms of shipborne precipitation radar and a spaceborne radiometer, both measuring rain rate.en
dc.sourceJournal of Applied Meteorologyen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-0031835108&partnerID=40&md5=9bfe8a852ba3a71dcf6bbdbcb828c92f
dc.subjectatmospheric instrumenten
dc.subjectradaren
dc.subjectradiometeren
dc.titleOn combining instrumentsen
dc.typeinfo:eu-repo/semantics/article
dc.description.volume37
dc.description.issue2
dc.description.startingpage220
dc.description.endingpage226
dc.author.facultyΣχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Μαθηματικών και Στατιστικής / Department of Mathematics and Statistics
dc.type.uhtypeArticleen
dc.description.notes<p>Cited By :14</p>en
dc.source.abbreviationJ.Appl.Meteorol.en
dc.contributor.orcidFokianos, Konstantinos [0000-0002-0051-711X]
dc.gnosis.orcid0000-0002-0051-711X


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