Asian and Trans‐Pacific Dust: A Multimodel and Multiremote Sensing Observation Analysis

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dc.contributor.authorKim, Dongchul
dc.contributor.authorChin, Mian
dc.contributor.authorYu, Hongbin
dc.contributor.authorPan, Xiaohua
dc.contributor.authorBian, Huisheng
dc.contributor.authorTan, Qian
dc.contributor.authorKahn, Ralph A.
dc.contributor.authorTsigaridis, Kostas
dc.contributor.authorBauer, Susanne E.
dc.contributor.authorTakemura, Toshihiko
dc.contributor.authorPozzoli, Luca
dc.contributor.authorBellouin, Nicolas
dc.contributor.authorSchulz, Michael
dc.date.accessioned2020-01-29T17:05:41Z
dc.date.available2020-01-29T17:05:41Z
dc.date.issued2019-12-06
dc.description.abstractDust is one of the dominant aerosol types over Asia and the North Pacific Ocean, but quantitative estimation of dust distribution and its contribution to the total regional aerosol load from observations is challenging due to the presence of significant anthropogenic and natural aerosols and the frequent influence of clouds over the region. This study presents the dust aerosol distributions over Asia and the North Pacific using simulations from five global models that participated in the AeroCom phase II model experiments, and from multiple satellite remote sensing and ground‐based measurements of total aerosol optical depth and dust optical depth. We examine various aspects of aerosol and dust presence in our study domain: (1) the horizontal distribution, (2) the longitudinal gradient during trans‐Pacific transport, (3) seasonal variations, (4) vertical profiles, and (5) model‐simulated dust life cycles. This study reveals that dust optical depth model diversity is driven mostly by diversity in the dust source strength, followed by residence time and mass extinction efficiency.en_US
dc.description.sponsorshipThis work is supported by NASAAtmospheric Composition: Modelingand Analysis (NNH14ZDA001N‐ACMAP) and EOS Programs. H. Y.acknowledge the NASA support viaNNH15ZDA001N‐CCST andNNH17ZDA001N‐TASNPP. We thankto Paul Ginoux for his insightfulcomments including MODIS Deep Bluedust optical depth. We would like tothank the MODIS, MISR, CALIOP, andAERONET teams for the data used inthis study. Resources supporting thiswork were provided by the NASA High‐End Computing (HEC) Programthrough the NASA Center for ClimateSimulation (NCCS) at Goddard SpaceFlight Center. Model data are availableat the AeroCom webpage (http://aerocom.met.no/). AERONET data areobtained from NASA AERONETwebpage (https://aeronet.gsfc.nasa.gov/). The MODIS Dark Target aerosoldata were obtained from the NASALevel‐1 and Atmosphere Archive andDistribution System (LAADS) webpage(https://ladsweb.nascom.nasa.gov/).The CALIOP aerosol products wereobtained from NASA Langley ResearchCenter Atmospheric Science DataCenter (https://eosweb.larc.nasa.gov/).en_US
dc.description.urihttps://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019JD030822en_US
dc.format.extent26 pagesen_US
dc.genrejournal articlesen_US
dc.identifierdoi:10.13016/m2mvwv-ja0r
dc.identifier.citationKim, Dongchul; Chin, Mian; Yu, Hongbin; Pan, Xiaohua; Bian, Huisheng; Tan, Qian; Kahn, Ralph A.; Tsigaridis, Kostas; Bauer, Susanne E.; Takemura, Toshihiko; Pozzoli, Luca; Bellouin, Nicolas; Schulz, Michael; Asian and Trans‐Pacific Dust: A Multimodel and Multiremote Sensing Observation Analysis; Journal of GeophysicalResearch: Atmospheres,124,13,534-559 (2019); https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019JD030822en_US
dc.identifier.urihttp://hdl.handle.net/11603/17183
dc.language.isoen_USen_US
dc.publisherAmerican Geophysical Unionen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Joint Center for Earth Systems Technology
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.rightsPublic Domain Mark 1.0*
dc.rightsThis work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
dc.rights.urihttp://creativecommons.org/publicdomain/mark/1.0/*
dc.subjectdusten_US
dc.subjectaerosolen_US
dc.subjectdust aerosol distributionsen_US
dc.subjectsatellite remote sensingen_US
dc.subjectdust optical depth model diversityen_US
dc.subjectdust source strengthen_US
dc.subjectmass extinction efficiencyen_US
dc.titleAsian and Trans‐Pacific Dust: A Multimodel and Multiremote Sensing Observation Analysisen_US
dc.typeTexten_US

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