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dc.contributor.author
Snider, G.  
dc.contributor.author
Weagle, C. L.  
dc.contributor.author
Martin, R. V.  
dc.contributor.author
van Donkelaar, A.  
dc.contributor.author
Conrad, K.  
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Cunningham, D.  
dc.contributor.author
Gordon, C.  
dc.contributor.author
Zwicker, M.  
dc.contributor.author
Akoshile, C.  
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Artaxo, P.  
dc.contributor.author
Anh, N. X.  
dc.contributor.author
Brook, J.  
dc.contributor.author
Dong, J.  
dc.contributor.author
Garland, R. M.  
dc.contributor.author
Greenwald, R.  
dc.contributor.author
Griffith, D.  
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He, K.  
dc.contributor.author
Holben, B. N.  
dc.contributor.author
Kahn, R.  
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Koren, I.  
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Lagrosas, N.  
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Lestari, P.  
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Ma, Z.  
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Vanderlei Martins, J.  
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Quel, Eduardo Jaime  
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Rudich, Y.  
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Salam, A.  
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Tripathi, S. N.  
dc.contributor.author
Yu, C.  
dc.contributor.author
Zhang, Q.  
dc.contributor.author
Zhang, Y.  
dc.contributor.author
Brauer, M.  
dc.contributor.author
Cohen, A.  
dc.contributor.author
Gibson, M. D.  
dc.contributor.author
Liu, Y.  
dc.date.available
2018-06-13T18:22:37Z  
dc.date.issued
2015-01  
dc.identifier.citation
Snider, G.; Weagle, C. L.; Martin, R. V.; van Donkelaar, A.; Conrad, K.; et al.; SPARTAN: a global network to evaluate and enhance satellite-based estimates of ground-level particulate matter for global health applications; Copernicus GmbH; Atmospheric Measurement Techniques; 8; 1; 1-2015; 505-521  
dc.identifier.issn
1867-1381  
dc.identifier.uri
http://hdl.handle.net/11336/48559  
dc.description.abstract
Ground-based observations have insufficient spatial coverage to assess long-term human exposure to fine particulate matter (PM2.5) at the global scale. Satellite remote sensing offers a promising approach to provide information on both short-and long-term exposure to PM2.5 at local-to-global scales, but there are limitations and outstanding questions about the accuracy and precision with which ground-level aerosol mass concentrations can be inferred from satellite remote sensing alone. A key source of uncertainty is the global distribution of the relationship between annual average PM2.5 and discontinuous satellite observations of columnar aerosol optical depth (AOD). We have initiated a global network of ground-level monitoring stations designed to evaluate and enhance satellite remote sensing estimates for application in health-effects research and risk assessment. This Surface PARTiculate mAtter Network (SPARTAN) includes a global federation of ground-level monitors of hourly PM2.5 situated primarily in highly populated regions and collocated with existing ground-based sun photometers that measure AOD. The instruments, a three-wavelength nephelometer and impaction filter sampler for both PM2.5 and PM10, are highly autonomous. Hourly PM2.5 concentrations are inferred from the combination of weighed filters and nephelometer data. Data from existing networks were used to develop and evaluate network sampling characteristics. SPARTAN filters are analyzed for mass, black carbon, water-soluble ions, and metals. These measurements provide, in a variety of regions around the world, the key data required to evaluate and enhance satellite-based PM2.5 estimates used for assessing the health effects of aerosols. Mean PM2.5 concentrations across sites vary by more than 1 order of magnitude. Our initial measurements indicate that the ratio of AOD to ground-level PM2.5 is driven temporally and spatially by the vertical profile in aerosol scattering. Spatially this ratio is also strongly influenced by the mass scattering efficiency.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Copernicus GmbH  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Spartan  
dc.subject.classification
Astronomía  
dc.subject.classification
Ciencias Físicas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
SPARTAN: a global network to evaluate and enhance satellite-based estimates of ground-level particulate matter for global health applications  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2018-03-05T20:45:58Z  
dc.journal.volume
8  
dc.journal.number
1  
dc.journal.pagination
505-521  
dc.journal.pais
Alemania  
dc.description.fil
Fil: Snider, G.. Dalhousie University Halifax; Canadá  
dc.description.fil
Fil: Weagle, C. L.. Dalhousie University Halifax; Canadá  
dc.description.fil
Fil: Martin, R. V.. Dalhousie University Halifax; Canadá. University of Cambridge; Reino Unido  
dc.description.fil
Fil: van Donkelaar, A.. Dalhousie University Halifax; Canadá  
dc.description.fil
Fil: Conrad, K.. Dalhousie University Halifax; Canadá  
dc.description.fil
Fil: Cunningham, D.. Dalhousie University Halifax; Canadá  
dc.description.fil
Fil: Gordon, C.. Dalhousie University Halifax; Canadá  
dc.description.fil
Fil: Zwicker, M.. Dalhousie University Halifax; Canadá  
dc.description.fil
Fil: Akoshile, C.. University of Ilorin; Nigeria  
dc.description.fil
Fil: Artaxo, P.. Governo Do Estado de Sao Paulo; Brasil  
dc.description.fil
Fil: Anh, N. X.. Vietnam Academy of Science and Technology. Institute of Geophysics; Vietnam  
dc.description.fil
Fil: Brook, J.. University of Toronto; Canadá  
dc.description.fil
Fil: Dong, J.. Tsinghua University; China  
dc.description.fil
Fil: Garland, R. M.. North-West University; Sudáfrica  
dc.description.fil
Fil: Greenwald, R.. Rollins School of Public Health; Estados Unidos  
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Fil: Griffith, D.. Council for Scientific and Industrial Research; Sudáfrica  
dc.description.fil
Fil: He, K.. Tsinghua University; China  
dc.description.fil
Fil: Holben, B. N.. NASA Goddard Space Flight Center; Estados Unidos  
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Fil: Kahn, R.. NASA Goddard Space Flight Center; Estados Unidos  
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Fil: Koren, I.. Weizmann Institute Of Science Israel; Israel  
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Fil: Lagrosas, N.. Manila Observatory, Ateneo de Manila University campus; Filipinas  
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Fil: Lestari, P.. Institut Teknologi Bandung; Indonesia  
dc.description.fil
Fil: Ma, Z.. Rollins School of Public Health; Estados Unidos  
dc.description.fil
Fil: Vanderlei Martins, J.. University of Maryland; Estados Unidos  
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Fil: Quel, Eduardo Jaime. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
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Fil: Rudich, Y.. Weizmann Institute Of Science Israel; Israel  
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Fil: Salam, A.. University Of Dhaka; Bangladesh  
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Fil: Tripathi, S. N.. Indian Institute Of Technology, Kanpur; India  
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Fil: Yu, C.. Rollins School of Public Health; Estados Unidos  
dc.description.fil
Fil: Zhang, Q.. Tsinghua University; China  
dc.description.fil
Fil: Zhang, Y.. Tsinghua University; China  
dc.description.fil
Fil: Brauer, M.. University of British Columbia; Canadá  
dc.description.fil
Fil: Cohen, A.. Health Effects Institute; Estados Unidos  
dc.description.fil
Fil: Gibson, M. D.. Dalhousie University Halifax; Canadá  
dc.description.fil
Fil: Liu, Y.. Rollins School of Public Health; Estados Unidos  
dc.journal.title
Atmospheric Measurement Techniques  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://dx.doi.org/10.5194/amt-8-505-2015  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.atmos-meas-tech.net/8/505/2015/