Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/66454
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dc.contributorDepartment of Land Surveying and Geo-Informaticsen_US
dc.creatorZhang, ZYen_US
dc.creatorWong, MSen_US
dc.creatorLee, KHen_US
dc.date.accessioned2017-05-22T02:26:10Z-
dc.date.available2017-05-22T02:26:10Z-
dc.identifier.issn1352-2310en_US
dc.identifier.urihttp://hdl.handle.net/10397/66454-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.rights© 2016 Elsevier Ltd. All rights reserved.en_US
dc.rights© 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.rightsThe following publication Zhang, Z. Y., Wong, M. S., & Lee, K. H. (2016). Evaluation of the representativeness of ground-based visibility for analysing the spatial and temporal variability of aerosol optical thickness in China. Atmospheric Environment, 147, 31-45 is available at https://doi.org/10.1016/j.atmosenv.2016.09.060en_US
dc.subjectAerosol optical thicknessen_US
dc.subjectSingular value decompositionen_US
dc.subjectVisibilityen_US
dc.titleEvaluation of the representativeness of ground-based visibility for analysing the spatial and temporal variability of aerosol optical thickness in Chinaen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage31en_US
dc.identifier.epage45en_US
dc.identifier.volume147en_US
dc.identifier.doi10.1016/j.atmosenv.2016.09.060en_US
dcterms.abstractAlthough visibility is a widely-used indicator to quantify the aerosol loadings, only a few studies have been analyzed the representativeness of visibility in deriving Aerosol Optical Thickness (AOT). In this paper, ground-based visibility, MODerate-resolution Imaging Spectroradiometer (MODIS) and Multi angle Imaging SpectroRadiometer (MISR) monthly AOT products between July 2002 and December 2014 were analyzed in order to extract the dominant modes of variability using the Singular Value Decomposition (SVD) method. The method has significant merit to reduce data dimension and examine both spatial and temporal variability simultaneously. Results indicated that the satellite retrieved AOTs agreed well with ground-based visibility in terms of inter-annual variability. The correlation coefficients in the first deseasonalized mode are greater than 0.65 between visibility and satellite AOT products. However, large differences were observed in the seasonal variability between ground-based visibility and AOT. In addition, Aerosol vertical distribution from LIdar climatology of Vertical Aerosol Structure for space-based lidar simulation studies (LIVAS) and cloud data from ground-based meteorological station were used to investigate the seasonal variability disagreement. The AOT values derived from LIVAS extinction coefficients between 0 and 500 m above surface have a stronger relationship with visibility, than total column AOT with visibility. It also indicates that seasonal variation of aerosol vertical distribution is the main cause of the disagreement between two parameters, and the uncertainties of satellite products also contribute to the disagreement. Results in this study highlighted that the visibility observation could only be used to depict the inter-annual AOT and more ancillary information could be used for studying seasonal AOT variation.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationAtmospheric environment, Dec. 2016, v. 147, p. 31-45en_US
dcterms.isPartOfAtmospheric environmenten_US
dcterms.issued2016-12-
dc.identifier.isiWOS:000388543600004-
dc.identifier.ros2016002697-
dc.identifier.eissn1873-2844en_US
dc.identifier.rosgroupid2016002641-
dc.description.ros2016-2017 > Academic research: refereed > Publication in refereed journalen_US
dc.description.validate201804_a bcmaen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberLSGI-0407-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextGeneral Research Fund;Hong Kong Polytechnic University;Research Institute for Sustainable Urban Development, the Hong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6682118-
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