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dc.contributor.authorBaldasano Recio, José María
dc.contributor.authorPedrós, Roberto
dc.contributor.authorEstallés, Víctor
dc.contributor.authorSicard, Michaël
dc.contributor.authorGómez Amo, Jose Luis
dc.contributor.authorUtrillas, Maria Pilar
dc.contributor.authorMartínez Lozano, José Antonio
dc.contributor.authorRocadenbosch Burillo, Francisco
dc.contributor.authorPérez, C.
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Projectes d'Enginyeria
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2011-01-07T13:11:34Z
dc.date.available2011-01-07T13:11:34Z
dc.date.created2010-01-01
dc.date.issued2010-01-01
dc.identifier.citationPedrós, R. [et al.]. Climatology of the aerosol extinction to backscatter ratio from sun photometric measurements. "IEEE transactions on geoscience and remote sensing", 01 Gener 2010, vol. 48, núm. 1, p. 237-249.
dc.identifier.issn0196-2892
dc.identifier.urihttp://hdl.handle.net/2117/10922
dc.description.abstractThe elastic lidar equation contains two unknown atmospheric parameters, namely, the particulate optical extinction and backscatter coefficients, which are related through the lidar ratio (i.e., the particulate-extinction-to-backscatter ratio). So far, independent inversion of the lidar signal has been carried out by means of Raman lidars (usually limited to nighttime measurements), high-spectral-resolution lidars, or scanning elastic lidars under the assumption of a homogeneously vertically stratified atmosphere. In this paper, we present a procedure to obtain the lidar ratio at 532 nm by a combined Sunphotometer– aerosol-model inversion, where the viability of the solution is largely reinforced by assimilating categorized air-mass back-trajectory information. Thus, iterative lidar-ratio tuning to reconstruct the Sun-photometric aerosol optical depth (AOD) is additionally constrained by the air-mass back trajectories provided by the hybrid single-particle Lagrangian integratedtrajectory model. The retrieved lidar ratios are validated with inversions of lidar data based on the Klett–Fernald–Sasano algorithm and with the Aerosol Robotic Network (AERONET)- retrieved lidar ratios. The estimated lidar ratios concur with the AERONET-retrieved lidar ratios and with those of the well-known KFS inversion constrained with Sun-photometric AOD values and embedded single-scattering models. The proposed method can be applied to routinely extract climatological values of the lidar ratio using measurements of direct solar irradiance (more numerous than those of sky radiance).
dc.format.extent13 p.
dc.language.isoeng
dc.publisherIEEE Press. Institute of Electrical and Electronics Engineers
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject.lcshAerosols
dc.subject.lcshSun-Photometric
dc.subject.lcshOptical radar
dc.subject.lcshSignal theory (Telecommunication)
dc.subject.otherAerosols
dc.subject.otherback trajectories
dc.subject.otherextinction-tobackscatter
dc.subject.otherSun photometer.
dc.titleClimatology of the aerosol extinction to backscatter ratio from sun photometric measurements
dc.typeArticle
dc.subject.lemacSenyal, Teoria del (Telecomunicació)
dc.contributor.groupUniversitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.contributor.groupUniversitat Politècnica de Catalunya. MTA - Modelització i Tecnologia Ambiental
dc.identifier.doi10.1109/TGRS.2009.2027699
dc.rights.accessOpen Access
drac.iddocument1189105
dc.description.versionPostprint (published version)
upcommons.citation.authorPedrós, R.; Estallés, V.; Sicard, M.; Gómez, J.; Utrillas, M.; Martínez , J.; Rocadenbosch, F.; Pérez, C.; Baldasano, J.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameIEEE transactions on geoscience and remote sensing
upcommons.citation.volume48
upcommons.citation.number1
upcommons.citation.startingPage237
upcommons.citation.endingPage249


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