Thackray 2015 Quantitative Uncertainty PAH metadata
We quantitatively examine the relative importance of uncertainty in emissions and physicochemical properties (including reaction rate constants) to Northern Hemisphere (NH) and Arctic polycyclic aromatic hydrocarbon (PAH) concentrations, using a computationally efficient numerical uncertainty techni...
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Arctic Data Center
2016
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dataone:doi:10.18739/A27Q2B 2024-10-03T18:45:55+00:00 Thackray 2015 Quantitative Uncertainty PAH metadata Colin Thackray Data cover GEOS-Chem grid boxes for points corresponding to measurement locations summarized in the publication. ENVELOPE(-89.0,26.0,82.0,44.0) BEGINDATE: 2006-01-01T00:00:00Z ENDDATE: 2009-01-01T00:00:00Z 2016-11-28T00:00:00Z https://doi.org/10.18739/A27Q2B unknown Arctic Data Center PAH polycyclic aromatic hydrocarbon uncertainty GEOS-Chem Dataset 2016 dataone:urn:node:ARCTIC https://doi.org/10.18739/A27Q2B 2024-10-03T18:09:28Z We quantitatively examine the relative importance of uncertainty in emissions and physicochemical properties (including reaction rate constants) to Northern Hemisphere (NH) and Arctic polycyclic aromatic hydrocarbon (PAH) concentrations, using a computationally efficient numerical uncertainty technique applied to the global-scale chemical transport model GEOS-Chem. Using polynomial chaos (PC) methods, we propagate uncertainties in physicochemical properties and emissions for the PAHs benzo[a]pyrene, pyrene and phenanthrene to simulated spatially resolved concentration uncertainties. We find that the leading contributors to parametric uncertainty in simulated concentrations are the black carbon-air partition coefficient and oxidation rate constant for benzo[a]pyrene, and the oxidation rate constants for phenanthrene and pyrene. NH geometric average concentrations are more sensitive to uncertainty in the atmospheric lifetime than to emissions rate. We use the PC expansions and measurement data to constrain parameter uncertainty distributions to observations. This narrows a priori parameter uncertainty distributions for phenanthrene and pyrene, and leads to higher values for OH oxidation rate constants and lower values for European PHE emission rates. Additional metadata can be found via: Thackray et al. DOI: 10.1021/acs.est.5b01823 Dataset Arctic black carbon Arctic Data Center (via DataONE) Arctic ENVELOPE(-89.0,26.0,82.0,44.0) |
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Open Polar |
collection |
Arctic Data Center (via DataONE) |
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dataone:urn:node:ARCTIC |
language |
unknown |
topic |
PAH polycyclic aromatic hydrocarbon uncertainty GEOS-Chem |
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PAH polycyclic aromatic hydrocarbon uncertainty GEOS-Chem Colin Thackray Thackray 2015 Quantitative Uncertainty PAH metadata |
topic_facet |
PAH polycyclic aromatic hydrocarbon uncertainty GEOS-Chem |
description |
We quantitatively examine the relative importance of uncertainty in emissions and physicochemical properties (including reaction rate constants) to Northern Hemisphere (NH) and Arctic polycyclic aromatic hydrocarbon (PAH) concentrations, using a computationally efficient numerical uncertainty technique applied to the global-scale chemical transport model GEOS-Chem. Using polynomial chaos (PC) methods, we propagate uncertainties in physicochemical properties and emissions for the PAHs benzo[a]pyrene, pyrene and phenanthrene to simulated spatially resolved concentration uncertainties. We find that the leading contributors to parametric uncertainty in simulated concentrations are the black carbon-air partition coefficient and oxidation rate constant for benzo[a]pyrene, and the oxidation rate constants for phenanthrene and pyrene. NH geometric average concentrations are more sensitive to uncertainty in the atmospheric lifetime than to emissions rate. We use the PC expansions and measurement data to constrain parameter uncertainty distributions to observations. This narrows a priori parameter uncertainty distributions for phenanthrene and pyrene, and leads to higher values for OH oxidation rate constants and lower values for European PHE emission rates. Additional metadata can be found via: Thackray et al. DOI: 10.1021/acs.est.5b01823 |
format |
Dataset |
author |
Colin Thackray |
author_facet |
Colin Thackray |
author_sort |
Colin Thackray |
title |
Thackray 2015 Quantitative Uncertainty PAH metadata |
title_short |
Thackray 2015 Quantitative Uncertainty PAH metadata |
title_full |
Thackray 2015 Quantitative Uncertainty PAH metadata |
title_fullStr |
Thackray 2015 Quantitative Uncertainty PAH metadata |
title_full_unstemmed |
Thackray 2015 Quantitative Uncertainty PAH metadata |
title_sort |
thackray 2015 quantitative uncertainty pah metadata |
publisher |
Arctic Data Center |
publishDate |
2016 |
url |
https://doi.org/10.18739/A27Q2B |
op_coverage |
Data cover GEOS-Chem grid boxes for points corresponding to measurement locations summarized in the publication. ENVELOPE(-89.0,26.0,82.0,44.0) BEGINDATE: 2006-01-01T00:00:00Z ENDDATE: 2009-01-01T00:00:00Z |
long_lat |
ENVELOPE(-89.0,26.0,82.0,44.0) |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic black carbon |
genre_facet |
Arctic black carbon |
op_doi |
https://doi.org/10.18739/A27Q2B |
_version_ |
1811922202080051200 |