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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NSF Arctic Data Center
2016
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Online Access: | https://dx.doi.org/10.18739/a2sj19r56 https://arcticdata.io/catalog/view/doi:10.18739/A2SJ19R56 |
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ftdatacite:10.18739/a2sj19r56 2023-05-15T15:05:44+02:00 Thackray 2015 Quantitative Uncertainty PAH metadata Thackray, Colin 2016 text/xml https://dx.doi.org/10.18739/a2sj19r56 https://arcticdata.io/catalog/view/doi:10.18739/A2SJ19R56 en eng NSF Arctic Data Center PAH polycyclic aromatic hydrocarbon uncertainty GEOS-Chem dataset Dataset 2016 ftdatacite https://doi.org/10.18739/a2sj19r56 2021-11-05T12:55:41Z 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 DataCite Metadata Store (German National Library of Science and Technology) Arctic |
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DataCite Metadata Store (German National Library of Science and Technology) |
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English |
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PAH polycyclic aromatic hydrocarbon uncertainty GEOS-Chem |
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PAH polycyclic aromatic hydrocarbon uncertainty GEOS-Chem Thackray, Colin Thackray 2015 Quantitative Uncertainty PAH metadata |
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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 |
Thackray, Colin |
author_facet |
Thackray, Colin |
author_sort |
Thackray, Colin |
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 |
NSF Arctic Data Center |
publishDate |
2016 |
url |
https://dx.doi.org/10.18739/a2sj19r56 https://arcticdata.io/catalog/view/doi:10.18739/A2SJ19R56 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic black carbon |
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Arctic black carbon |
op_doi |
https://doi.org/10.18739/a2sj19r56 |
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1766337382847610880 |