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dc.contributor.authorNagovitsyna, E. S.en
dc.contributor.authorDzholumbetov, S. K.en
dc.contributor.authorKarasev, A. A.en
dc.contributor.authorPoddubny, V. A.en
dc.date.accessioned2025-02-25T11:02:20Z-
dc.date.available2025-02-25T11:02:20Z-
dc.date.issued2024-
dc.identifier.citationNagovitsyna, E., Dzholumbetov, S., Karasev, A., & Poddubny, V. (2024). A Regional Aerosol Model for the Middle Urals Based on CALIPSO Measurements. Atmosphere, 15(1), [48]. https://doi.org/10.3390/atmos15010048apa_pure
dc.identifier.issn2073-4433-
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access; Gold Open Access3
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85183327803&doi=10.3390%2fatmos15010048&partnerID=40&md5=5f9ebac7f279debfa64ce6e1ffc870271
dc.identifier.otherhttps://www.mdpi.com/2073-4433/15/1/48/pdf?version=1703918444pdf
dc.identifier.urihttp://elar.urfu.ru/handle/10995/141706-
dc.description.abstractThe present work aims to develop a regional Middle Urals Aerosol model (MUrA model) based on the joint analysis of long-term ground-based photometric measurements of the Aerosol Robotic NETwork (AERONET) and the results of lidar measurements of the CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation) satellite relying on information on the air trajectories at different altitudes calculated using the HYSPLIT (Hybrid Single Particle Lagrangian Integrated Trajectory model) software package. The MUrA model contains parameters of normalized volume size distributions (NVSDs) characterizing the tropospheric aerosol subtypes detected by the CALIPSO satellite. When comparing the MUrA model with the global CALIPSO Aerosol Model (CAMel), we found significant differences in NVSDs for elevated smoke and clean continental aerosol types. NVSDs for dust and polluted continental/smoke aerosol types in the global and regional models differ much less. The total volumes of aerosol particles along the atmospheric column reconstructed from satellite measurements of the attenuation coefficient at a wavelength of 532 nm based on the regional MUrA model and global CAMel are compared with the AERONET inversion data. The mean bias error for the regional model is 0.016 μm3/μm2, and 0.043 μm3/μm2 for the global model. © 2023 by the authors.en
dc.description.sponsorshipRussian Science Foundation, RSF, (22-21-00278); Russian Science Foundation, RSFen
dc.description.sponsorshipThis research was funded by Russian Science Foundation grant number 22-21-00278, https://rscf.ru/project/22-21-00278/, accessed on 10 November 2023.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.rightscc-byother
dc.sourceAtmosphere2
dc.sourceAtmosphereen
dc.subjectAERONETen
dc.subjectCALIPSOen
dc.subjectHYSPLITen
dc.subjectMIDDLE URALSen
dc.subjectREGIONAL AEROSOL MODELen
dc.subjectURALSen
dc.subjectAEROSOLSen
dc.subjectOPTICAL RADARen
dc.subjectPARTICLE SIZEen
dc.subjectPARTICLE SIZE ANALYSISen
dc.subjectSATELLITESen
dc.subjectAEROSOL MODELSen
dc.subjectAEROSOL ROBOTIC NETWORKSen
dc.subjectCLOUD-AEROSOL LIDAR AND INFRARED PATHFINDER SATELLITE OBSERVATIONSen
dc.subjectHYBRID SINGLE PARTICLE LAGRANGIAN INTEGRATED TRAJECTORY MODELen
dc.subjectLAGRANGIANen
dc.subjectMEASUREMENTS OFen
dc.subjectMIDDLE URALSen
dc.subjectREGIONAL AEROSOL MODELen
dc.subjectSINGLE-PARTICLEen
dc.subjectTRAJECTORY MODELSen
dc.subjectAERONETen
dc.subjectAEROSOLen
dc.subjectATMOSPHERIC MODELINGen
dc.subjectCALIPSOen
dc.subjectLIDARen
dc.subjectTROPOSPHEREen
dc.subjectSMOKEen
dc.titleA Regional Aerosol Model for the Middle Urals Based on CALIPSO Measurementsen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.3390/atmos15010048-
dc.identifier.scopus85183327803-
local.contributor.employeeNagovitsyna E.S., Institute of Industrial Ecology, Ural Branch, Russian Academy of Sciences, Ekaterinburg, 620000, Russian Federation, Institute of Physics and Technology, Ural Federal University, Ekaterinburg, 620000, Russian Federationen
local.contributor.employeeDzholumbetov S.K., Institute of Industrial Ecology, Ural Branch, Russian Academy of Sciences, Ekaterinburg, 620000, Russian Federationen
local.contributor.employeeKarasev A.A., Institute of Industrial Ecology, Ural Branch, Russian Academy of Sciences, Ekaterinburg, 620000, Russian Federationen
local.contributor.employeePoddubny V.A., Institute of Industrial Ecology, Ural Branch, Russian Academy of Sciences, Ekaterinburg, 620000, Russian Federationen
local.issue1-
local.volume15-
dc.identifier.wos001149190000001-
local.contributor.departmentInstitute of Industrial Ecology, Ural Branch, Russian Academy of Sciences, Ekaterinburg, 620000, Russian Federationen
local.contributor.departmentInstitute of Physics and Technology, Ural Federal University, Ekaterinburg, 620000, Russian Federationen
local.identifier.pure52298606-
local.description.order48
local.identifier.eid2-s2.0-85183327803-
local.fund.rsf22-21-00278
local.identifier.wosWOS:001149190000001-
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