SPARTAN: a global network to evaluate and enhance satellite-based estimates of ground-level particulate matter for global health applications

Autores
Snider, G.; Weagle, C. L.; Martin, R. V.; van Donkelaar, A.; Conrad, K.; Cunningham, D.; Gordon, C.; Zwicker, M.; Akoshile, C.; Artaxo, P.; Anh, N. X.; Brook, J.; Dong, J.; Garland, R. M.; Greenwald, R.; Griffith, D.; He, K.; Holben, B. N.; Kahn, R.; Koren, I.; Lagrosas, N.; Lestari, P.; Ma, Z.; Vanderlei Martins, J.; Quel, Eduardo Jaime; Rudich, Y.; Salam, A.; Tripathi, S. N.; Yu, C.; Zhang, Q.; Zhang, Y.; Brauer, M.; Cohen, A.; Gibson, M. D.; Liu, Y.
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
Fil: Snider, G.. Dalhousie University Halifax; Canadá
Fil: Weagle, C. L.. Dalhousie University Halifax; Canadá
Fil: Martin, R. V.. Dalhousie University Halifax; Canadá. University of Cambridge; Reino Unido
Fil: van Donkelaar, A.. Dalhousie University Halifax; Canadá
Fil: Conrad, K.. Dalhousie University Halifax; Canadá
Fil: Cunningham, D.. Dalhousie University Halifax; Canadá
Fil: Gordon, C.. Dalhousie University Halifax; Canadá
Fil: Zwicker, M.. Dalhousie University Halifax; Canadá
Fil: Akoshile, C.. University of Ilorin; Nigeria
Fil: Artaxo, P.. Governo Do Estado de Sao Paulo; Brasil
Fil: Anh, N. X.. Vietnam Academy of Science and Technology. Institute of Geophysics; Vietnam
Fil: Brook, J.. University of Toronto; Canadá
Fil: Dong, J.. Tsinghua University; China
Fil: Garland, R. M.. North-West University; Sudáfrica
Fil: Greenwald, R.. Rollins School of Public Health; Estados Unidos
Fil: Griffith, D.. Council for Scientific and Industrial Research; Sudáfrica
Fil: He, K.. Tsinghua University; China
Fil: Holben, B. N.. NASA Goddard Space Flight Center; Estados Unidos
Fil: Kahn, R.. NASA Goddard Space Flight Center; Estados Unidos
Fil: Koren, I.. Weizmann Institute Of Science Israel; Israel
Fil: Lagrosas, N.. Manila Observatory, Ateneo de Manila University campus; Filipinas
Fil: Lestari, P.. Institut Teknologi Bandung; Indonesia
Fil: Ma, Z.. Rollins School of Public Health; Estados Unidos
Fil: Vanderlei Martins, J.. University of Maryland; Estados Unidos
Fil: Quel, Eduardo Jaime. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Rudich, Y.. Weizmann Institute Of Science Israel; Israel
Fil: Salam, A.. University Of Dhaka; Bangladesh
Fil: Tripathi, S. N.. Indian Institute Of Technology, Kanpur; India
Fil: Yu, C.. Rollins School of Public Health; Estados Unidos
Fil: Zhang, Q.. Tsinghua University; China
Fil: Zhang, Y.. Tsinghua University; China
Fil: Brauer, M.. University of British Columbia; Canadá
Fil: Cohen, A.. Health Effects Institute; Estados Unidos
Fil: Gibson, M. D.. Dalhousie University Halifax; Canadá
Fil: Liu, Y.. Rollins School of Public Health; Estados Unidos
Materia
SPARTAN
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/48559

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network_name_str CONICET Digital (CONICET)
spelling SPARTAN: a global network to evaluate and enhance satellite-based estimates of ground-level particulate matter for global health applicationsSnider, G.Weagle, C. L.Martin, R. V.van Donkelaar, A.Conrad, K.Cunningham, D.Gordon, C.Zwicker, M.Akoshile, C.Artaxo, P.Anh, N. X.Brook, J.Dong, J.Garland, R. M.Greenwald, R.Griffith, D.He, K.Holben, B. N.Kahn, R.Koren, I.Lagrosas, N.Lestari, P.Ma, Z.Vanderlei Martins, J.Quel, Eduardo JaimeRudich, Y.Salam, A.Tripathi, S. N.Yu, C.Zhang, Q.Zhang, Y.Brauer, M.Cohen, A.Gibson, M. D.Liu, Y.SPARTANhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1Ground-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.Fil: Snider, G.. Dalhousie University Halifax; CanadáFil: Weagle, C. L.. Dalhousie University Halifax; CanadáFil: Martin, R. V.. Dalhousie University Halifax; Canadá. University of Cambridge; Reino UnidoFil: van Donkelaar, A.. Dalhousie University Halifax; CanadáFil: Conrad, K.. Dalhousie University Halifax; CanadáFil: Cunningham, D.. Dalhousie University Halifax; CanadáFil: Gordon, C.. Dalhousie University Halifax; CanadáFil: Zwicker, M.. Dalhousie University Halifax; CanadáFil: Akoshile, C.. University of Ilorin; NigeriaFil: Artaxo, P.. Governo Do Estado de Sao Paulo; BrasilFil: Anh, N. X.. Vietnam Academy of Science and Technology. Institute of Geophysics; VietnamFil: Brook, J.. University of Toronto; CanadáFil: Dong, J.. Tsinghua University; ChinaFil: Garland, R. M.. North-West University; SudáfricaFil: Greenwald, R.. Rollins School of Public Health; Estados UnidosFil: Griffith, D.. Council for Scientific and Industrial Research; SudáfricaFil: He, K.. Tsinghua University; ChinaFil: Holben, B. N.. NASA Goddard Space Flight Center; Estados UnidosFil: Kahn, R.. NASA Goddard Space Flight Center; Estados UnidosFil: Koren, I.. Weizmann Institute Of Science Israel; IsraelFil: Lagrosas, N.. Manila Observatory, Ateneo de Manila University campus; FilipinasFil: Lestari, P.. Institut Teknologi Bandung; IndonesiaFil: Ma, Z.. Rollins School of Public Health; Estados UnidosFil: Vanderlei Martins, J.. University of Maryland; Estados UnidosFil: Quel, Eduardo Jaime. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Rudich, Y.. Weizmann Institute Of Science Israel; IsraelFil: Salam, A.. University Of Dhaka; BangladeshFil: Tripathi, S. N.. Indian Institute Of Technology, Kanpur; IndiaFil: Yu, C.. Rollins School of Public Health; Estados UnidosFil: Zhang, Q.. Tsinghua University; ChinaFil: Zhang, Y.. Tsinghua University; ChinaFil: Brauer, M.. University of British Columbia; CanadáFil: Cohen, A.. Health Effects Institute; Estados UnidosFil: Gibson, M. D.. Dalhousie University Halifax; CanadáFil: Liu, Y.. Rollins School of Public Health; Estados UnidosCopernicus GmbH2015-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/48559Snider, 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; 505-5211867-1381CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.5194/amt-8-505-2015info:eu-repo/semantics/altIdentifier/url/https://www.atmos-meas-tech.net/8/505/2015/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:01:54Zoai:ri.conicet.gov.ar:11336/48559instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:01:55.16CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv SPARTAN: a global network to evaluate and enhance satellite-based estimates of ground-level particulate matter for global health applications
title SPARTAN: a global network to evaluate and enhance satellite-based estimates of ground-level particulate matter for global health applications
spellingShingle SPARTAN: a global network to evaluate and enhance satellite-based estimates of ground-level particulate matter for global health applications
Snider, G.
SPARTAN
title_short SPARTAN: a global network to evaluate and enhance satellite-based estimates of ground-level particulate matter for global health applications
title_full SPARTAN: a global network to evaluate and enhance satellite-based estimates of ground-level particulate matter for global health applications
title_fullStr SPARTAN: a global network to evaluate and enhance satellite-based estimates of ground-level particulate matter for global health applications
title_full_unstemmed SPARTAN: a global network to evaluate and enhance satellite-based estimates of ground-level particulate matter for global health applications
title_sort SPARTAN: a global network to evaluate and enhance satellite-based estimates of ground-level particulate matter for global health applications
dc.creator.none.fl_str_mv Snider, G.
Weagle, C. L.
Martin, R. V.
van Donkelaar, A.
Conrad, K.
Cunningham, D.
Gordon, C.
Zwicker, M.
Akoshile, C.
Artaxo, P.
Anh, N. X.
Brook, J.
Dong, J.
Garland, R. M.
Greenwald, R.
Griffith, D.
He, K.
Holben, B. N.
Kahn, R.
Koren, I.
Lagrosas, N.
Lestari, P.
Ma, Z.
Vanderlei Martins, J.
Quel, Eduardo Jaime
Rudich, Y.
Salam, A.
Tripathi, S. N.
Yu, C.
Zhang, Q.
Zhang, Y.
Brauer, M.
Cohen, A.
Gibson, M. D.
Liu, Y.
author Snider, G.
author_facet Snider, G.
Weagle, C. L.
Martin, R. V.
van Donkelaar, A.
Conrad, K.
Cunningham, D.
Gordon, C.
Zwicker, M.
Akoshile, C.
Artaxo, P.
Anh, N. X.
Brook, J.
Dong, J.
Garland, R. M.
Greenwald, R.
Griffith, D.
He, K.
Holben, B. N.
Kahn, R.
Koren, I.
Lagrosas, N.
Lestari, P.
Ma, Z.
Vanderlei Martins, J.
Quel, Eduardo Jaime
Rudich, Y.
Salam, A.
Tripathi, S. N.
Yu, C.
Zhang, Q.
Zhang, Y.
Brauer, M.
Cohen, A.
Gibson, M. D.
Liu, Y.
author_role author
author2 Weagle, C. L.
Martin, R. V.
van Donkelaar, A.
Conrad, K.
Cunningham, D.
Gordon, C.
Zwicker, M.
Akoshile, C.
Artaxo, P.
Anh, N. X.
Brook, J.
Dong, J.
Garland, R. M.
Greenwald, R.
Griffith, D.
He, K.
Holben, B. N.
Kahn, R.
Koren, I.
Lagrosas, N.
Lestari, P.
Ma, Z.
Vanderlei Martins, J.
Quel, Eduardo Jaime
Rudich, Y.
Salam, A.
Tripathi, S. N.
Yu, C.
Zhang, Q.
Zhang, Y.
Brauer, M.
Cohen, A.
Gibson, M. D.
Liu, Y.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv SPARTAN
topic SPARTAN
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv 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.
Fil: Snider, G.. Dalhousie University Halifax; Canadá
Fil: Weagle, C. L.. Dalhousie University Halifax; Canadá
Fil: Martin, R. V.. Dalhousie University Halifax; Canadá. University of Cambridge; Reino Unido
Fil: van Donkelaar, A.. Dalhousie University Halifax; Canadá
Fil: Conrad, K.. Dalhousie University Halifax; Canadá
Fil: Cunningham, D.. Dalhousie University Halifax; Canadá
Fil: Gordon, C.. Dalhousie University Halifax; Canadá
Fil: Zwicker, M.. Dalhousie University Halifax; Canadá
Fil: Akoshile, C.. University of Ilorin; Nigeria
Fil: Artaxo, P.. Governo Do Estado de Sao Paulo; Brasil
Fil: Anh, N. X.. Vietnam Academy of Science and Technology. Institute of Geophysics; Vietnam
Fil: Brook, J.. University of Toronto; Canadá
Fil: Dong, J.. Tsinghua University; China
Fil: Garland, R. M.. North-West University; Sudáfrica
Fil: Greenwald, R.. Rollins School of Public Health; Estados Unidos
Fil: Griffith, D.. Council for Scientific and Industrial Research; Sudáfrica
Fil: He, K.. Tsinghua University; China
Fil: Holben, B. N.. NASA Goddard Space Flight Center; Estados Unidos
Fil: Kahn, R.. NASA Goddard Space Flight Center; Estados Unidos
Fil: Koren, I.. Weizmann Institute Of Science Israel; Israel
Fil: Lagrosas, N.. Manila Observatory, Ateneo de Manila University campus; Filipinas
Fil: Lestari, P.. Institut Teknologi Bandung; Indonesia
Fil: Ma, Z.. Rollins School of Public Health; Estados Unidos
Fil: Vanderlei Martins, J.. University of Maryland; Estados Unidos
Fil: Quel, Eduardo Jaime. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Rudich, Y.. Weizmann Institute Of Science Israel; Israel
Fil: Salam, A.. University Of Dhaka; Bangladesh
Fil: Tripathi, S. N.. Indian Institute Of Technology, Kanpur; India
Fil: Yu, C.. Rollins School of Public Health; Estados Unidos
Fil: Zhang, Q.. Tsinghua University; China
Fil: Zhang, Y.. Tsinghua University; China
Fil: Brauer, M.. University of British Columbia; Canadá
Fil: Cohen, A.. Health Effects Institute; Estados Unidos
Fil: Gibson, M. D.. Dalhousie University Halifax; Canadá
Fil: Liu, Y.. Rollins School of Public Health; Estados Unidos
description 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.
publishDate 2015
dc.date.none.fl_str_mv 2015-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/48559
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
1867-1381
CONICET Digital
CONICET
url http://hdl.handle.net/11336/48559
identifier_str_mv 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
1867-1381
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.5194/amt-8-505-2015
info:eu-repo/semantics/altIdentifier/url/https://www.atmos-meas-tech.net/8/505/2015/
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Copernicus GmbH
publisher.none.fl_str_mv Copernicus GmbH
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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