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

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dc.contributor.author Snider, G
dc.contributor.author Weagle, CL
dc.contributor.author Martin, RV
dc.contributor.author Van Donkelaar, A
dc.contributor.author Conrad, K
dc.contributor.author Cunningham, D
dc.contributor.author Gordon, C
dc.contributor.author Zwicker, M
dc.contributor.author Akoshile, C
dc.contributor.author Artaxo, P
dc.contributor.author Anh, NX
dc.contributor.author Brook, J
dc.contributor.author Dong, J
dc.contributor.author Garland, Rebecca M
dc.contributor.author Greenwald, R
dc.contributor.author Griffith, D
dc.contributor.author He, K
dc.contributor.author Holben, I
dc.contributor.author Kahn, R
dc.contributor.author Koren, I
dc.contributor.author Lagrosas, N
dc.contributor.author Lestari, P
dc.contributor.author Ma, Z
dc.contributor.author Vanderlei Martins, J
dc.contributor.author Quel, EJ
dc.contributor.author Rudich, Y
dc.contributor.author Salam, A
dc.contributor.author Tripathi, SN
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, MD
dc.contributor.author Liu, Y
dc.date.accessioned 2015-10-22T10:29:00Z
dc.date.available 2015-10-22T10:29:00Z
dc.date.issued 2015-01
dc.identifier.citation 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, E.J., Rudich, Y., Salam, A., Tripathi, S.N., Yu, C., Zhang, Q., Zhang, Y., Brauer, M., Cohen, A., Gibson, M.D. and Liu, Y. SPARTAN: a global network to evaluate and enhance satellite-based estimates of ground-level particulate matter for global health applications, Atmospheric Measurement Techniques, Vol 8(1), pp. 505-521 en_US
dc.identifier.issn 1867-1381
dc.identifier.uri http://www.atmos-meas-tech.net/8/505/2015/amt-8-505-2015.html
dc.identifier.uri http://hdl.handle.net/10204/8201
dc.description Copyright: European Geosciences Union,Germany en_US
dc.description.abstract Ground-based observations have insufficient spatial coverage to assess long-term human exposure to fine particulate matter (PM(sub2.5)) at the global scale. Satellite remote sensing offers a promising approach to provide information on both short- and long-term exposure to PM(sub2.5) 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 PM(sub2.5) 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 PM(sub2.5) 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 PM(sub2.5) and PM(sub10), are highly autonomous. Hourly PM(sub2.5) 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 PM(sub2.5) estimates used for assessing the health effects of aerosols. Mean PM(sub2.5) concentrations across sites vary by more than 1 order of magnitude. Our initial measurements indicate that the ratio of AOD to ground-level PM(sub2.5) is driven temporally and spatially by the vertical profile in aerosol scattering. Spatially this ratio is also strongly influenced by the mass scattering efficiency. en_US
dc.language.iso en en_US
dc.publisher European Geosciences Union en_US
dc.relation.ispartofseries Workflow;14434
dc.subject Particulate matter en_US
dc.subject SPARTAN en_US
dc.subject Satellite measurements en_US
dc.title SPARTAN: a global network to evaluate and enhance satellite-based estimates of ground-level particulate matter for global health applications en_US
dc.type Article en_US
dc.identifier.apacitation Snider, G., Weagle, C., Martin, R., Van Donkelaar, A., Conrad, K., Cunningham, D., ... Liu, Y. (2015). SPARTAN: a global network to evaluate and enhance satellite-based estimates of ground-level particulate matter for global health applications. http://hdl.handle.net/10204/8201 en_ZA
dc.identifier.chicagocitation Snider, G, CL Weagle, RV Martin, A Van Donkelaar, K Conrad, D Cunningham, C Gordon, et al "SPARTAN: a global network to evaluate and enhance satellite-based estimates of ground-level particulate matter for global health applications." (2015) http://hdl.handle.net/10204/8201 en_ZA
dc.identifier.vancouvercitation Snider G, Weagle C, Martin R, Van Donkelaar A, Conrad K, Cunningham D, et al. SPARTAN: a global network to evaluate and enhance satellite-based estimates of ground-level particulate matter for global health applications. 2015; http://hdl.handle.net/10204/8201. en_ZA
dc.identifier.ris TY - Article AU - Snider, G AU - Weagle, CL AU - Martin, RV AU - Van Donkelaar, A AU - Conrad, K AU - Cunningham, D AU - Gordon, C AU - Zwicker, M AU - Akoshile, C AU - Artaxo, P AU - Anh, NX AU - Brook, J AU - Dong, J AU - Garland, Rebecca M AU - Greenwald, R AU - Griffith, D AU - He, K AU - Holben, I AU - Kahn, R AU - Koren, I AU - Lagrosas, N AU - Lestari, P AU - Ma, Z AU - Vanderlei Martins, J AU - Quel, EJ AU - Rudich, Y AU - Salam, A AU - Tripathi, SN AU - YU, C AU - Zhang, Q AU - Zhang, Y AU - Brauer, M AU - Cohen, A AU - Gibson, MD AU - Liu, Y AB - Ground-based observations have insufficient spatial coverage to assess long-term human exposure to fine particulate matter (PM(sub2.5)) at the global scale. Satellite remote sensing offers a promising approach to provide information on both short- and long-term exposure to PM(sub2.5) 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 PM(sub2.5) 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 PM(sub2.5) 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 PM(sub2.5) and PM(sub10), are highly autonomous. Hourly PM(sub2.5) 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 PM(sub2.5) estimates used for assessing the health effects of aerosols. Mean PM(sub2.5) concentrations across sites vary by more than 1 order of magnitude. Our initial measurements indicate that the ratio of AOD to ground-level PM(sub2.5) is driven temporally and spatially by the vertical profile in aerosol scattering. Spatially this ratio is also strongly influenced by the mass scattering efficiency. DA - 2015-01 DB - ResearchSpace DP - CSIR KW - Particulate matter KW - SPARTAN KW - Satellite measurements LK - https://researchspace.csir.co.za PY - 2015 SM - 1867-1381 T1 - SPARTAN: a global network to evaluate and enhance satellite-based estimates of ground-level particulate matter for global health applications TI - SPARTAN: a global network to evaluate and enhance satellite-based estimates of ground-level particulate matter for global health applications UR - http://hdl.handle.net/10204/8201 ER - en_ZA


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