Afficher la notice abrégée

hal.structure.identifierState Key Laboratory of Severe Weather [LASW]
hal.structure.identifierKey Laboratory of Atmospheric Chemistry [Beijing]
dc.contributor.authorZHANG, Xindan
hal.structure.identifierJapan Synchrotron Radiation Research Institute [Hyogo] [JASRI]
hal.structure.identifierKey Laboratory of Atmospheric Chemistry [Beijing]
hal.structure.identifierState Key Laboratory of Severe Weather [LASW]
dc.contributor.authorLI, Lei
hal.structure.identifierHuaihai Institute of Technology [Lianyungang] [HHIT]
hal.structure.identifierJiangSu University
dc.contributor.authorCHEN, Cheng
dc.contributor.authorCHEN, Xingfeng
hal.structure.identifierLaboratoire d’Optique Atmosphérique - UMR 8518 [LOA]
dc.contributor.authorDUBOVIK, Oleg
hal.structure.identifierLaboratoire d’Optique Atmosphérique - UMR 8518 [LOA]
dc.contributor.authorDERIMIAN, Yevgeny
hal.structure.identifierChinese Academy of Meteorological Sciences [CAMS]
dc.contributor.authorGUI, Ke
hal.structure.identifierInstitut des Sciences des Plantes de Paris-Saclay [IPS2 (UMR_9213 / UMR_1403)]
hal.structure.identifierState Key Laboratory of Severe Weather [LASW]
hal.structure.identifierKey Laboratory of Atmospheric Chemistry [Beijing]
dc.contributor.authorZHENG, Yu
hal.structure.identifierInstitute of Atmospheric Environment, Shenyang, China
hal.structure.identifierChinese Academy of Meteorological Sciences [CAMS]
dc.contributor.authorZHAO, Hujia
hal.structure.identifierModeling Enablers for Multi-PHysics and InteractionS [MEMPHIS]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierState Key Laboratory of Severe Weather [LASW]
hal.structure.identifierKey Laboratory of Atmospheric Chemistry [Beijing]
dc.contributor.authorZHANG, Lei
hal.structure.identifierNorthwestern Polytechnical University [Xi'an] [NPU]
hal.structure.identifierState Key Laboratory of Severe Weather [LASW]
hal.structure.identifierKey Laboratory of Atmospheric Chemistry [Beijing]
dc.contributor.authorGUO, Bin
hal.structure.identifierChinese Academy of Meteorological Sciences [CAMS]
hal.structure.identifierState Key Laboratory of Severe Weather [LASW]
hal.structure.identifierKey Laboratory of Atmospheric Chemistry [Beijing]
dc.contributor.authorWANG, Yaqiang
hal.structure.identifierNASA Goddard Space Flight Center [GSFC]
dc.contributor.authorHOLBEN, Brent
hal.structure.identifierChinese Academy of Meteorological Sciences [CAMS]
hal.structure.identifierKey Laboratory of Atmospheric Chemistry [Beijing]
hal.structure.identifierState Key Laboratory of Severe Weather [LASW]
dc.contributor.authorCHE, Huizheng
hal.structure.identifierChinese Academy of Meteorological Sciences [CAMS]
hal.structure.identifierKey Laboratory of Atmospheric Chemistry [Beijing]
hal.structure.identifierState Key Laboratory of Severe Weather [LASW]
dc.contributor.authorZHANG, Xiaoye
dc.date.accessioned2024-04-04T02:38:26Z
dc.date.available2024-04-04T02:38:26Z
dc.date.issued2021-12
dc.identifier.issn0169-8095
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/190877
dc.description.abstractEnThe multi-angle polarimetric satellite observations are helpful for improving the retrievals of aerosol parameters. However, practical applications of polarization technology are still limited because of complexity of measurement and interpretation of polarimetric observations. In this study, we analyze the performance of a new component approach developed in the frame of the Generalized Retrieval of Atmosphere and Surface Properties (GRASP) algorithm. In addition to aerosol optical properties including particle size distribution, non-sphericity and index of refraction that are commonly derived from multi-angle radiance and polarization measurements, the GRASP/Component approach also provides some information about aerosol composition. Specifically, in this approach aerosol is modeled as an internal mixture of several components with distinctly different chemical compositions and known refractive indices. The approach is intended not only to provide additional insight on aerosol composition but also to improve retrieval of basic aerosol optical properties. This study presents comprehensive validation and evaluation of Aerosol Optical Depth (AOD), Ångström exponent (AE), fine mode AOD (AODF), coarse mode AOD (AODC), and single scattering albedo (SSA) as retrieved by the GRASP/Component approach. The GRASP/Component products include aerosol retrievals using two different aerosol component mixing rules, i.e., Maxwell-Garnett (MG) effective medium approximation and a simple Volume-Weighted averaging (VW). The differences between the results obtained using these two assumptions are also discussed. The obtained results show that the aerosol optical property products of GRASP/Component approach have good agreement with the ground-based AERONET measurements, which is comparable to other PARASOL/GRASP approaches. Specifically, the AOD retrieved by GRASP/Component approach show high correlation and nearly no bias both over land and ocean, as compared with AERONET. The more detailed aerosol properties such as AE, AODF, AODC and SSA also show one of the best comparisons with AERONET. These improvements can probably be attributed to the use of the additional physical constraints on spectral dependence of the complex refractive index and the reduction of total number of aerosol parameters directly retrieved in the GRASP/Component approach. In addition, the choice of mixing rules had no significant effect on optical retrievals. With the exception of SSA, the results obtained based on the MG mixing rule were found to be slightly better over those obtained using VW mixing rule, especially for bias.
dc.description.sponsorshipPhysiques et Chimie de l'Environnement Atmosphérique - ANR-11-LABX-0005
dc.language.isoen
dc.publisherElsevier
dc.subject.enPOLDER-3/PARASOL
dc.subject.enaerosol optical property
dc.subject.enGRASP/Component approach
dc.subject.enMaxwell-Garnett effective medium
dc.subject.enapproximation
dc.subject.enVolume-Weighted average effective medium
dc.title.enValidation of the aerosol optical property products derived by the GRASP/Component approach from multi-angular polarimetric observations
dc.typeArticle de revue
dc.identifier.doi10.1016/j.atmosres.2021.105802
dc.subject.halPlanète et Univers [physics]
dc.subject.halPlanète et Univers [physics]/Océan, Atmosphère
dc.subject.halPlanète et Univers [physics]/Sciences de la Terre
dc.subject.halPlanète et Univers [physics]/Sciences de la Terre/Géophysique [physics.geo-ph]
bordeaux.journalAtmospheric Research
bordeaux.page105802
bordeaux.volume263
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-03866971
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03866971v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Atmospheric%20Research&rft.date=2021-12&rft.volume=263&rft.spage=105802&rft.epage=105802&rft.eissn=0169-8095&rft.issn=0169-8095&rft.au=ZHANG,%20Xindan&LI,%20Lei&CHEN,%20Cheng&CHEN,%20Xingfeng&DUBOVIK,%20Oleg&rft.genre=article


Fichier(s) constituant ce document

FichiersTailleFormatVue

Il n'y a pas de fichiers associés à ce document.

Ce document figure dans la(les) collection(s) suivante(s)

Afficher la notice abrégée