Monthly Global Estimates of Fine Particulate Matter and Their Uncertainty

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dc.contributor.authorDonkelaar, Aaron van
dc.contributor.authorHammer, Melanie S.
dc.contributor.authorBindle, Liam
dc.contributor.authorBrauer, Michael
dc.contributor.authorBrook, Jeffery R.
dc.contributor.authorGaray, Michael J.
dc.contributor.authorHsu, N. Christina
dc.contributor.authorKalashnikova, Olga V.
dc.contributor.authorKahn, Ralph A.
dc.contributor.authorLee, Colin
dc.contributor.authorLevy, Robert C.
dc.contributor.authorLyapustin, Alexei
dc.contributor.authorSayer, Andrew
dc.contributor.authorMartin, Randall V.
dc.date.accessioned2022-10-26T16:29:23Z
dc.date.available2022-10-26T16:29:23Z
dc.date.issued2021-11-01
dc.description.abstractAnnual global satellite-based estimates of fine particulate matter (PM2.5) are widely relied upon for air-quality assessment. Here, we develop and apply a methodology for monthly estimates and uncertainties during the period 1998−2019, which combines satellite retrievals of aerosol optical depth, chemical transport modeling, and ground-based measurements to allow for the characterization of seasonal and episodic exposure, as well as aid air-quality management. Many densely populated regions have their highest PM2.5 concentrations in winter, exceeding summertime concentrations by factors of 1.5−3.0 over Eastern Europe, Western Europe, South Asia, and East Asia. In South Asia, in January, regional population-weighted monthly mean PM2.5 concentrations exceed 90 μg/m3 , with local concentrations of approximately 200 μg/m3 for parts of the Indo-Gangetic Plain. In East Asia, monthly mean PM2.5 concentrations have decreased over the period 2010−2019 by 1.6−2.6 μg/m3 /year, with decreases beginning 2−3 years earlier in summer than in winter. We find evidence that global-monitored locations tend to be in cleaner regions than global mean PM2.5 exposure, with large measurement gaps in the Global South. Uncertainty estimates exhibit regional consistency with observed differences between ground-based and satellitederived PM2.5. The evaluation of uncertainty for agglomerated values indicates that hybrid PM2.5 estimates provide precise regionalscale representation, with residual uncertainty inversely proportional to the sample sizeen_US
dc.description.sponsorshipWe are grateful to the MODIS, MISR, SeaWiFS, and AERONET teams that have made this work possible through the creation, validation, and public release of their data products, as well as the support provided by the Canadian Urban Environmental Health Research Consortium, by the Natural Science and Engineering Council of Canada (RGPIN2019-04670), by Washington University, by the John D. and Catherine T. MacAuthor Foundation, and by the NASA Applied Sciences Program (Grant Number 80NSSC21K0508).en_US
dc.description.urihttps://pubs.acs.org/doi/10.1021/acs.est.1c05309en_US
dc.format.extent14 pagesen_US
dc.genrejournal articlesen_US
dc.identifierdoi:10.13016/m2fpbs-rxlb
dc.identifier.citationvan Donkelaar, A., M. Hammer, L. Bindle, M. Brauer, J. Brook, M. Garay, N. Hsu, O. Kalashnikova, R. Kahn, C. Lee, R. Levy, A. Lyapustin, A. M. Sayer, and R. Martin (2021), Monthly Global Estimates of Fine Particulate Matter and Their Uncertainty, Environ. Sci. Technol., 55(22), 15287-15300, https://doi.org/10.1021/acs.est.1c05309en_US
dc.identifier.urihttps://doi.org/10.1021/acs.est.1c05309
dc.identifier.urihttp://hdl.handle.net/11603/26230
dc.language.isoen_USen_US
dc.publisherACSen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC GESTAR II Collection
dc.relation.ispartofUMBC Faculty Collection
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.en_US
dc.rightsPublic Domain Mark 1.0*
dc.rights.urihttp://creativecommons.org/publicdomain/mark/1.0/*
dc.titleMonthly Global Estimates of Fine Particulate Matter and Their Uncertaintyen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0001-9149-1789en_US

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