Target categorization of aerosol and clouds by continuous multiwavelength-polarization lidar measurements

dc.bibliographicCitation.firstPage3175
dc.bibliographicCitation.issue9
dc.bibliographicCitation.journalTitleAtmospheric measurement techniques : AMTeng
dc.bibliographicCitation.lastPage3201
dc.bibliographicCitation.volume10
dc.contributor.authorBaars, Holger
dc.contributor.authorSeifert, Patric
dc.contributor.authorEngelmann, Ronny
dc.contributor.authorWandinger, Ulla
dc.date.accessioned2023-02-27T08:51:28Z
dc.date.available2023-02-27T08:51:28Z
dc.date.issued2017
dc.description.abstractAbsolute calibrated signals at 532 and 1064 nm and the depolarization ratio from a multiwavelength lidar are used to categorize primary aerosol but also clouds in high temporal and spatial resolution. Automatically derived particle backscatter coefficient profiles in low temporal resolution (30 min) are applied to calibrate the lidar signals. From these calibrated lidar signals, new atmospheric parameters in temporally high resolution (quasi-particle-backscatter coefficients) are derived. By using thresholds obtained from multiyear, multisite EARLINET (European Aerosol Research Lidar Network) measurements, four aerosol classes (small; large, spherical; large, non-spherical; mixed, partly nonspherical) and several cloud classes (liquid, ice) are defined. Thus, particles are classified by their physical features (shape and size) instead of by source. The methodology is applied to 2 months of continuous observations (24 h a day, 7 days a week) with the multiwavelength-Raman-polarization lidar PollyXT during the High-Definition Clouds and Precipitation for advancing Climate Prediction (HD(CP)2) Observational Prototype Experiment (HOPE) in spring 2013. Cloudnet equipment was operated continuously directly next to the lidar and is used for comparison. By discussing three 24 h case studies, it is shown that the aerosol discrimination is very feasible and informative and gives a good complement to the Cloudnet target categorization. Performing the categorization for the 2-month data set of the entire HOPE campaign, almost 1 million pixel (5 minĂ—30 m) could be analysed with the newly developed tool. We find that the majority of the aerosol trapped in the planetary boundary layer (PBL) was composed of small particles as expected for a heavily populated and industrialized area. Large, spherical aerosol was observed mostly at the top of the PBL and close to the identified cloud bases, indicating the importance of hygroscopic growth of the particles at high relative humidity. Interestingly, it is found that on several days non-spherical particles were dispersed from the ground into the atmosphere.eng
dc.description.versionpublishedVersioneng
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/11529
dc.identifier.urihttp://dx.doi.org/10.34657/10563
dc.language.isoeng
dc.publisherKatlenburg-Lindau : Copernicus
dc.relation.doihttps://doi.org/10.5194/amt-10-3175-2017
dc.relation.essn1867-8548
dc.rights.licenseCC BY 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by/3.0
dc.subject.ddc550
dc.subject.otheraerosoleng
dc.subject.otheranalytical methodeng
dc.subject.otherboundary layereng
dc.subject.otherclimate predictioneng
dc.subject.othercloudeng
dc.subject.otherdata seteng
dc.subject.otherdispersioneng
dc.subject.otherequipmenteng
dc.subject.otherlidareng
dc.subject.othermeasurement methodeng
dc.subject.othermethodologyeng
dc.subject.otherpixeleng
dc.subject.otherpolarizationeng
dc.subject.otherrelative humidityeng
dc.subject.otherwavelengtheng
dc.titleTarget categorization of aerosol and clouds by continuous multiwavelength-polarization lidar measurementseng
dc.typeArticleeng
dc.typeTexteng
tib.accessRightsopenAccess
wgl.contributorTROPOS
wgl.subjectGeowissenschaftenger
wgl.typeZeitschriftenartikelger
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