Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11765/2092
Ground-based remote sensing for the detection of greenhouse gases by Fourier transform infrared spectrometry: optimization of retrieval strategies and its validation
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dc.contributor.advisorSchneider, Matthias-
dc.contributor.advisorGuerra García, Juan Carlos-
dc.contributor.authorSepúlveda Hernández, Eliezeres_ES
dc.date.accessioned2016-04-25T07:04:25Z-
dc.date.available2016-04-25T07:04:25Z-
dc.date.issued2014-
dc.identifier.urihttp://hdl.handle.net/20.500.11765/2092-
dc.descriptionTesis presentada en la Universidad de La Laguna para optar al Grado de Doctor en Físicaes_ES
dc.description.abstractThe work is based on the high-quality ground-based remote sensing Fourier Transform InfraRed spectrometer for the inversion of precise total column amounts and vertical profiles of different atmospheric trace gases. The thesis is focused on the optimization of the retrieval strategies for the greenhouse gases water vapour and methane. For this purpose the inversion code PROFFIT is applied. The vertical distribution of water vapour and tropospheric methane as derived from our remote sensing measurements are compared against very precise in-situ measurements. Thus, the quality of our retrieved products are documented. These studies have been carry out at the Izaña Atmospheric Research Center (IARC-AEMET), Canary Island, 28.30 N, 16.50 W.es_ES
dc.formatapplication/pdf-
dc.language.isoenges_ES
dc.publisherUniversidad de La Lagunaes_ES
dc.rightsLicencia CC: Reconocimiento–NoComercial–SinObraDerivada CC BY-NC-NDes_ES
dc.subjectAtmospheric trace gaseses_ES
dc.subjectRemote sensinges_ES
dc.subjectWater vapoures_ES
dc.subjectFourier Transform Infrared Spectrometryes_ES
dc.titleGround-based remote sensing for the detection of greenhouse gases by Fourier transform infrared spectrometry: optimization of retrieval strategies and its validationes_ES
dc.typeinfo:eu-repo/semantics/doctoralThesises_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
Appears in Collections:Tesis 2010-2017


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