Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/20.500.11765/13808
Small scale variability of water vapor in the atmosphere: implications for inter-comparison of data from different measuring systems
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dc.contributor.authorCalbet, Xavieres_ES
dc.contributor.authorCarbajal-Henken, Cintiaes_ES
dc.contributor.authorDeSouza-Machado, Sergioes_ES
dc.contributor.authorSun, Bomines_ES
dc.contributor.authorReale, Anthonyes_ES
dc.date.accessioned2022-06-17T09:43:21Z-
dc.date.available2022-06-17T09:43:21Z-
dc.date.issued2022-
dc.identifier.citationAtmospheric Measurement Techniques Discussions. 2022, p. 1-24es_ES
dc.identifier.issn1867-8610-
dc.identifier.urihttp://hdl.handle.net/20.500.11765/13808-
dc.description.abstractWater vapor concentration structures in the atmosphere are well approximated by Gaussian Random Fields at small scales 6 km. These Gaussian Random Fields have a spatial correlation in accordance with a structure function with a two-thirds slope, following the corresponding law from Kolmogorov's theory of turbulence. This is proven by showing that the structure function measured by several satellite instruments and radiosonde measurements do indeed follow the two-thirds law. High spatial resolution retrievals of Total Column Water Vapor (TCWV) obtained from the Ocean and Land Color Instrument (OLCI) on board of the Sentinel-3 series of satellites qualitatively also show a Gaussian Random Field structure.es_ES
dc.language.isoenges_ES
dc.publisherEuropean Geosciences Uniones_ES
dc.publisherCopernicus Publicationses_ES
dc.rightsLicencia CC: Reconocimiento CC BYes_ES
dc.subjectWater vapores_ES
dc.subjectSatellite instrumentses_ES
dc.subjectRadiosondees_ES
dc.subjectGaussian Random Fieldses_ES
dc.subjectForecastinges_ES
dc.titleSmall scale variability of water vapor in the atmosphere: implications for inter-comparison of data from different measuring systemses_ES
dc.typeinfo:eu-repo/semantics/preprintes_ES
dc.relation.publisherversionhttps://doi.org/10.5194/amt-2022-111es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
Colecciones: Artículos científicos 2019-2022


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