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dc.contributor.authorLabzovskii, Lev D.
dc.contributor.authorPapayannis, Alexander
dc.contributor.authorBinietoglou, Ioannis
dc.contributor.authorBanks, Robert F.
dc.contributor.authorBaldasano Recio, José María
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Projectes i de la Construcció
dc.date.accessioned2018-05-02T07:05:13Z
dc.date.available2018-05-02T07:05:13Z
dc.date.issued2018-02-14
dc.identifier.citationLabzovskii, L. D., Papayannis, A., Binietoglou, I., Banks, R., Baldasano, J. Relative humidity vertical profiling using lidar-based synergistic methods in the framework of the Hygra-CD campaign. "Annales geophysicae", 14 Febrer 2018, vol. 36, núm. 1, p. 213-229.
dc.identifier.issn0992-7689
dc.identifier.urihttp://hdl.handle.net/2117/116844
dc.description.abstractAccurate continuous measurements of relative hu- midity (RH) vertical profiles in the lower troposphere have become a significant scientific challenge. In recent years a synergy of various ground-based remote sensing instru- ments have been successfully used for RH vertical profil- ing, which has resulted in the improvement of spatial reso- lution and, in some cases, of the accuracy of the measure- ment. Some studies have also suggested the use of high- resolution model simulations as input datasets into RH ver- tical profiling techniques. In this paper we apply two syn- ergetic methods for RH profiling, including the synergy of lidar with a microwave radiometer and high-resolution at- mospheric modeling. The two methods are employed for RH retrieval between 100 and 6000 m with increased spatial res- olution, based on datasets from the HygrA-CD (Hygroscopic Aerosols to Cloud Droplets) campaign conducted in Athens, Greece from May to June 2014. RH profiles from synergetic methods are then compared with those retrieved using single instruments or as simulated by high-resolution models. Our proposed technique for RH profiling provides improved sta- tistical agreement with reference to radiosoundings by 27 % when the lidar–radiometer (in comparison with radiometer measurements) approach is used and by 15 % when a lidar model is used (in comparison with WRF-model simulations). Mean uncertainty of RH due to temperature bias in RH pro- filing was ~ 4 . 34 % for the lidar–radiometer and ~ 1 . 22 % for the lidar–model methods. However, maximum uncer- tainty in RH retrievals due to temperature bias showed that lidar-model method is more reliable at heights greater than 2000 m. Overall, our results have demonstrated the capabil- ity of both combined methods for daytime measurements in heights between 100 and 6000 m when lidar–radiometer or lidar–WRF combined datasets are available.
dc.format.extent17 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Desenvolupament humà i sostenible
dc.subject.lcshHumidity
dc.subject.lcshAtmosphere--Research
dc.subject.otherAtmospheric composition and structure (instruments and techniques)
dc.titleRelative humidity vertical profiling using lidar-based synergistic methods in the framework of the Hygra-CD campaign
dc.typeArticle
dc.subject.lemacHumitat atmosfèrica
dc.subject.lemacAtmosfera
dc.contributor.groupUniversitat Politècnica de Catalunya. GReCT - Grup de Recerca de Ciències de la Terra
dc.identifier.doi10.5194/angeo-36-213-2018
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
drac.iddocument22323167
dc.description.versionPostprint (author's final draft)
upcommons.citation.authorLabzovskii, L. D., Papayannis, A., Binietoglou, I., Banks, R., Baldasano, J.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameAnnales geophysicae
upcommons.citation.volume36
upcommons.citation.number1
upcommons.citation.startingPage213
upcommons.citation.endingPage229


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