Sources of carbon monoxide and formaldehyde in North America determined from high-resolution atmospheric data
We analyze the North American budget for carbon monoxide using data for CO and formaldehyde concentrations from tall towers and aircraft in a model-data assimilation framework. The Stochastic Time-Inverted Lagrangian Transport model for CO (STILT-CO) determines local to regional-scale CO contributio...
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2008
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ftcdlib:oai:escholarship.org:ark:/13030/qt0rv8s0rn 2023-10-25T01:44:36+02:00 Sources of carbon monoxide and formaldehyde in North America determined from high-resolution atmospheric data Miller, SM Matross, DM Andrews, AE Millet, DB Longo, M Gottlieb, EW Hirsch, AI Gerbig, C Lin, JC Daube, BC Hudman, RC Dias, PLS Chow, VY Wofsy, SC 7673 - 7696 2008-01-01 https://escholarship.org/uc/item/0rv8s0rn unknown eScholarship, University of California qt0rv8s0rn https://escholarship.org/uc/item/0rv8s0rn public Atmospheric Chemistry and Physics, vol 8, iss 24 Earth Sciences Atmospheric Sciences Astronomical and Space Sciences Meteorology & Atmospheric Sciences Climate change science article 2008 ftcdlib 2023-09-25T18:03:35Z We analyze the North American budget for carbon monoxide using data for CO and formaldehyde concentrations from tall towers and aircraft in a model-data assimilation framework. The Stochastic Time-Inverted Lagrangian Transport model for CO (STILT-CO) determines local to regional-scale CO contributions associated with production from fossil fuel combustion, biomass burning, and oxidation of volatile organic compounds (VOCs) using an ensemble of Lagrangian particles driven by high resolution assimilated meteorology. In many cases, the model demonstrates high fidelity simulations of hourly surface data from tall towers and point measurements from aircraft, with somewhat less satisfactory performance in coastal regions and when CO from large biomass fires in Alaska and the Yukon Territory influence the continental US. Inversions of STILT-CO simulations for CO and formaldehyde show that current inventories of CO emissions from fossil fuel combustion are significantly too high, by almost a factor of three in summer and a factor two in early spring, consistent with recent analyses of data from the INTEX-A aircraft program. Formaldehyde data help to show that sources of CO from oxidation of CH4 and other VOCs represent the dominant sources of CO over North America in summer. © Author(s) 2008. Article in Journal/Newspaper Alaska Yukon University of California: eScholarship Yukon |
institution |
Open Polar |
collection |
University of California: eScholarship |
op_collection_id |
ftcdlib |
language |
unknown |
topic |
Earth Sciences Atmospheric Sciences Astronomical and Space Sciences Meteorology & Atmospheric Sciences Climate change science |
spellingShingle |
Earth Sciences Atmospheric Sciences Astronomical and Space Sciences Meteorology & Atmospheric Sciences Climate change science Miller, SM Matross, DM Andrews, AE Millet, DB Longo, M Gottlieb, EW Hirsch, AI Gerbig, C Lin, JC Daube, BC Hudman, RC Dias, PLS Chow, VY Wofsy, SC Sources of carbon monoxide and formaldehyde in North America determined from high-resolution atmospheric data |
topic_facet |
Earth Sciences Atmospheric Sciences Astronomical and Space Sciences Meteorology & Atmospheric Sciences Climate change science |
description |
We analyze the North American budget for carbon monoxide using data for CO and formaldehyde concentrations from tall towers and aircraft in a model-data assimilation framework. The Stochastic Time-Inverted Lagrangian Transport model for CO (STILT-CO) determines local to regional-scale CO contributions associated with production from fossil fuel combustion, biomass burning, and oxidation of volatile organic compounds (VOCs) using an ensemble of Lagrangian particles driven by high resolution assimilated meteorology. In many cases, the model demonstrates high fidelity simulations of hourly surface data from tall towers and point measurements from aircraft, with somewhat less satisfactory performance in coastal regions and when CO from large biomass fires in Alaska and the Yukon Territory influence the continental US. Inversions of STILT-CO simulations for CO and formaldehyde show that current inventories of CO emissions from fossil fuel combustion are significantly too high, by almost a factor of three in summer and a factor two in early spring, consistent with recent analyses of data from the INTEX-A aircraft program. Formaldehyde data help to show that sources of CO from oxidation of CH4 and other VOCs represent the dominant sources of CO over North America in summer. © Author(s) 2008. |
format |
Article in Journal/Newspaper |
author |
Miller, SM Matross, DM Andrews, AE Millet, DB Longo, M Gottlieb, EW Hirsch, AI Gerbig, C Lin, JC Daube, BC Hudman, RC Dias, PLS Chow, VY Wofsy, SC |
author_facet |
Miller, SM Matross, DM Andrews, AE Millet, DB Longo, M Gottlieb, EW Hirsch, AI Gerbig, C Lin, JC Daube, BC Hudman, RC Dias, PLS Chow, VY Wofsy, SC |
author_sort |
Miller, SM |
title |
Sources of carbon monoxide and formaldehyde in North America determined from high-resolution atmospheric data |
title_short |
Sources of carbon monoxide and formaldehyde in North America determined from high-resolution atmospheric data |
title_full |
Sources of carbon monoxide and formaldehyde in North America determined from high-resolution atmospheric data |
title_fullStr |
Sources of carbon monoxide and formaldehyde in North America determined from high-resolution atmospheric data |
title_full_unstemmed |
Sources of carbon monoxide and formaldehyde in North America determined from high-resolution atmospheric data |
title_sort |
sources of carbon monoxide and formaldehyde in north america determined from high-resolution atmospheric data |
publisher |
eScholarship, University of California |
publishDate |
2008 |
url |
https://escholarship.org/uc/item/0rv8s0rn |
op_coverage |
7673 - 7696 |
geographic |
Yukon |
geographic_facet |
Yukon |
genre |
Alaska Yukon |
genre_facet |
Alaska Yukon |
op_source |
Atmospheric Chemistry and Physics, vol 8, iss 24 |
op_relation |
qt0rv8s0rn https://escholarship.org/uc/item/0rv8s0rn |
op_rights |
public |
_version_ |
1780742315415961600 |