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dc.contributor.authorAmiridis, Vassilis
dc.contributor.authorWandinger, Ulla
dc.contributor.authorMarinou, E.
dc.contributor.authorGiannakaki, E.
dc.contributor.authorTsekeri, A.
dc.contributor.authorBasart Alpuente, Sara
dc.contributor.authorKazadzis, Stylianos
dc.contributor.authorGkikas, A.
dc.contributor.authorTaylor, M.
dc.contributor.authorBaldasano Recio, José María
dc.contributor.authorAnsmann, Albert
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Projectes d'Enginyeria
dc.date.accessioned2014-03-11T19:00:42Z
dc.date.available2014-03-11T19:00:42Z
dc.date.created2013-12-13
dc.date.issued2013-12-13
dc.identifier.citationAmiridis, V. [et al.]. Optimizing CALIPSO saharan dust retrievals. "Atmospheric chemistry and physics", 13 Desembre 2013, vol. 13, núm. 23, p. 12089-12106.
dc.identifier.issn1680-7316
dc.identifier.urihttp://hdl.handle.net/2117/21999
dc.description.abstractWe demonstrate improvements in CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations) dust extinction retrievals over northern Africa and Europe when corrections are applied regarding the Saharan dust lidar ratio assumption, the separation of the dust portion in detected dust mixtures, and the averaging scheme introduced in the Level 3 CALIPSO product. First, a universal, spatially constant lidar ratio of 58 sr instead of 40 sr is applied to individual Level 2 dust-related backscatter products. The resulting aerosol optical depths show an improvement compared with synchronous and collocated AERONET (Aerosol Robotic Network) measurements. An absolute bias of the order of -0.03 has been found, improving on the statistically significant biases of the order of -0.10 reported in the literature for the original CALIPSO product. When compared with the MODIS (Moderate-Resolution Imaging Spectroradiometer) collocated aerosol optical depth (AOD) product, the CALIPSO negative bias is even less for the lidar ratio of 58 sr. After introducing the new lidar ratio for the domain studied, we examine potential improvements to the climatological CALIPSO Level 3 extinction product: (1) by introducing a new methodology for the calculation of pure dust extinction from dust mixtures and (2) by applying an averaging scheme that includes zero extinction values for the nondust aerosol types detected. The scheme is applied at a horizontal spatial resolution of 1 × 1 for ease of comparison with the instantaneous and collocated dust extinction profiles simulated by the BSC-DREAM8b dust model. Comparisons show that the extinction profiles retrieved with the proposed methodology reproduce the well-known model biases per subregion examined. The very good agreement of the proposed CALIPSO extinction product with respect to AERONET, MODIS and the BSC-DREAM8b dust model makes this dataset an ideal candidate for the provision of an accurate and robust multiyear dust climatology over northern Africa and Europe
dc.format.extent18 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::Degradació ambiental::Contaminació atmosfèrica
dc.subjectÀrees temàtiques de la UPC::Desenvolupament humà i sostenible::Enginyeria ambiental
dc.subject.lcshRadar meteorology
dc.subject.lcshAir quality -- Measurement
dc.subject.lcshMineral dust
dc.subject.lcshArtificial satellites in remote sensing
dc.subject.lcshInfrared radiation
dc.subject.lcshAtmospheric aerosols
dc.subject.otherGEOBASE Subject Index: aerosol
dc.subject.otherCALIPSO
dc.subject.otherdetection method
dc.subject.otherdust
dc.subject.otherlidar
dc.subject.otherMODIS
dc.subject.otheroptical depth
dc.subject.otheroptimization
dc.subject.otherspatial variation Regional Index: Africa
dc.subject.otherEurope
dc.subject.otherSahara
dc.titleOptimizing CALIPSO saharan dust retrievals
dc.typeArticle
dc.subject.lemacRadarmeteorologia
dc.subject.lemacAire -- Qualitat -- Mesurament
dc.subject.lemacPols mineral
dc.subject.lemacSatèl·lits artificials en teledetecció
dc.subject.lemacRaigs infraroigs
dc.subject.lemacAerosols atmosfèrics
dc.contributor.groupUniversitat Politècnica de Catalunya. MTA - Modelització i Tecnologia Ambiental
dc.identifier.doi10.5194/acp-13-12089-2013
dc.rights.accessOpen Access
local.identifier.drac13021443
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/FP7/316210/EU/Building Capacity for a Centre of Excellence for EO-based monitoring of Natural Disasters/BEYOND
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/FP7/262254/EU/Aerosols, Clouds, and Trace gases Research Infrastructure Network/ACTRIS
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/FP7/247492/EU/Aerosol and Cloud Influence on global surface UV irradiance retrieved from satellite sensors/ACI-UV
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/FP7/300515/EU/Global mapping of aerosol properties using neural network inversions of ground and satellite based data/AEROMAP
local.citation.authorAmiridis, V.; Wandinger, U.; Marinou, E.; Giannakaki, E.; Tsekeri, A.; Basart, S.; Kazadzis, S.; Gkikas, A.; Taylor, M.; Baldasano, J.; Ansmann, A.
local.citation.publicationNameAtmospheric chemistry and physics
local.citation.volume13
local.citation.number23
local.citation.startingPage12089
local.citation.endingPage12106


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