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MUSICA MetOp/IASI {H2O, D} pair retrieval simulations for validating tropospheric moisture pathways in atmospheric models [Discussion paper]
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dc.contributor.authorSchneider, Matthiases_ES
dc.contributor.authorBorger, Christianes_ES
dc.contributor.authorWiegele, Andreases_ES
dc.contributor.authorHase, Frankes_ES
dc.contributor.authorGarcía Rodríguez, Omaira Elenaes_ES
dc.contributor.authorSepúlveda Hernández, Eliezeres_ES
dc.contributor.authorWerner, Martines_ES
dc.date.accessioned2017-03-01T10:12:45Z-
dc.date.available2017-03-01T10:12:45Z-
dc.date.issued2016-
dc.identifier.citationAtmospheric Measurement Techniques Discussions. 2016es_ES
dc.identifier.issn1867-8610-
dc.identifier.urihttp://hdl.handle.net/20.500.11765/6423-
dc.description.abstractThe characteristics of {H2O,δD} pair space-based remote sensing data depend on the atmospheric and surface conditions, which compromises their usage for model evaluation studies. This paper shows how the problem can be overcome by simulating MUSICA MetOp/IASI {H2O,δD} remote sensing products for any given model atmosphere. The remote sensing retrieval simulator is freely provided as a MATLAB and Python routine.es_ES
dc.description.sponsorshipThis study has been conducted in the framework of the project MUSICA which is funded by the European Research Council under the European Community’s Seventh Framework Programme (FP7/2007-2013) / ERC Grant agreement number 256961.es_ES
dc.language.isoenges_ES
dc.publisherEuropean Geosciences Uniones_ES
dc.rightsLicencia CC: Reconocimiento CC BYes_ES
dc.subjectTropospheric moisturees_ES
dc.subjectAtmospheric modelses_ES
dc.subjectProject MUSICAes_ES
dc.subjectProyecto MUSICAes_ES
dc.subjectHumedad troposféricaes_ES
dc.subjectModelos atmosféricoses_ES
dc.titleMUSICA MetOp/IASI {H2O, D} pair retrieval simulations for validating tropospheric moisture pathways in atmospheric models [Discussion paper]es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttp://dx.doi.org/10.5194/amt-2016-316es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/256961es_ES
Colecciones: Artículos científicos 2015-2018


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