Source attribution and interannual variability of Arctic pollution in spring constrained by aircraft (ARCTAS, ARCPAC) and satellite (AIRS) observations of carbon monoxide

We use aircraft observations of carbon monoxide (CO) from the NASA ARCTAS and NOAA ARCPAC campaigns in April 2008 together with multiyear (2003–2008) CO satellite data from the AIRS instrument and a global chemical transport model (GEOS-Chem) to better understand the sources, transport, and interann...

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Main Authors: Fisher, J. A., Jacob, D. J., Purdy, M. T., Kopacz, M., Le Sager, P., Wu, Shiliang
Format: Text
Language:unknown
Published: Digital Commons @ Michigan Tech 2010
Subjects:
Online Access:https://digitalcommons.mtu.edu/michigantech-p/1407
https://doi.org/10.5194/acp-10-977-2010
https://digitalcommons.mtu.edu/context/michigantech-p/article/2410/viewcontent/acp_10_977_2010.pdf
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author Fisher, J. A.
Jacob, D. J.
Purdy, M. T.
Kopacz, M.
Le Sager, P.
Wu, Shiliang
author_facet Fisher, J. A.
Jacob, D. J.
Purdy, M. T.
Kopacz, M.
Le Sager, P.
Wu, Shiliang
author_sort Fisher, J. A.
collection Michigan Technological University: Digital Commons @ Michigan Tech
description We use aircraft observations of carbon monoxide (CO) from the NASA ARCTAS and NOAA ARCPAC campaigns in April 2008 together with multiyear (2003–2008) CO satellite data from the AIRS instrument and a global chemical transport model (GEOS-Chem) to better understand the sources, transport, and interannual variability of pollution in the Arctic in spring. Model simulation of the aircraft data gives best estimates of CO emissions in April 2008 of 26 Tg month−1 for Asian anthropogenic, 9.4 for European anthropogenic, 4.1 for North American anthropogenic, 15 for Russian biomass burning (anomalously large that year), and 23 for Southeast Asian biomass burning. We find that Asian anthropogenic emissions are the dominant source of Arctic CO pollution everywhere except in surface air where European anthropogenic emissions are of similar importance. Russian biomass burning makes little contribution to mean CO (reflecting the long CO lifetime) but makes a large contribution to CO variability in the form of combustion plumes. Analysis of two pollution events sampled by the aircraft demonstrates that AIRS can successfully observe pollution transport to the Arctic in the mid-troposphere. The 2003–2008 record of CO from AIRS shows that interannual variability averaged over the Arctic cap is very small. AIRS CO columns over Alaska are highly correlated with the Ocean Niño Index, suggesting a link between El Niño and Asian pollution transport to the Arctic. AIRS shows lower-than-average CO columns over Alaska during April 2008, despite the Russian fires, due to a weakened Aleutian Low hindering transport from Asia and associated with the moderate 2007–2008 La Niña. This suggests that Asian pollution influence over the Arctic may be particularly large under strong El Niño conditions.
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genre aleutian low
Arctic
Arctic pollution
Alaska
genre_facet aleutian low
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op_doi https://doi.org/10.5194/acp-10-977-2010
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doi:10.5194/acp-10-977-2010
https://digitalcommons.mtu.edu/context/michigantech-p/article/2410/viewcontent/acp_10_977_2010.pdf
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spelling ftmichigantuniv:oai:digitalcommons.mtu.edu:michigantech-p-2410 2025-01-16T18:46:46+00:00 Source attribution and interannual variability of Arctic pollution in spring constrained by aircraft (ARCTAS, ARCPAC) and satellite (AIRS) observations of carbon monoxide Fisher, J. A. Jacob, D. J. Purdy, M. T. Kopacz, M. Le Sager, P. Wu, Shiliang 2010-02-01T08:00:00Z application/pdf https://digitalcommons.mtu.edu/michigantech-p/1407 https://doi.org/10.5194/acp-10-977-2010 https://digitalcommons.mtu.edu/context/michigantech-p/article/2410/viewcontent/acp_10_977_2010.pdf unknown Digital Commons @ Michigan Tech https://digitalcommons.mtu.edu/michigantech-p/1407 doi:10.5194/acp-10-977-2010 https://digitalcommons.mtu.edu/context/michigantech-p/article/2410/viewcontent/acp_10_977_2010.pdf http://creativecommons.org/licenses/by/3.0/ Michigan Tech Publications Department of Civil Environmental and Geospatial Engineering Department of Geological and Mining Engineering and Sciences Civil and Environmental Engineering Geological Engineering Mining Engineering text 2010 ftmichigantuniv https://doi.org/10.5194/acp-10-977-2010 2023-06-20T16:59:48Z We use aircraft observations of carbon monoxide (CO) from the NASA ARCTAS and NOAA ARCPAC campaigns in April 2008 together with multiyear (2003–2008) CO satellite data from the AIRS instrument and a global chemical transport model (GEOS-Chem) to better understand the sources, transport, and interannual variability of pollution in the Arctic in spring. Model simulation of the aircraft data gives best estimates of CO emissions in April 2008 of 26 Tg month−1 for Asian anthropogenic, 9.4 for European anthropogenic, 4.1 for North American anthropogenic, 15 for Russian biomass burning (anomalously large that year), and 23 for Southeast Asian biomass burning. We find that Asian anthropogenic emissions are the dominant source of Arctic CO pollution everywhere except in surface air where European anthropogenic emissions are of similar importance. Russian biomass burning makes little contribution to mean CO (reflecting the long CO lifetime) but makes a large contribution to CO variability in the form of combustion plumes. Analysis of two pollution events sampled by the aircraft demonstrates that AIRS can successfully observe pollution transport to the Arctic in the mid-troposphere. The 2003–2008 record of CO from AIRS shows that interannual variability averaged over the Arctic cap is very small. AIRS CO columns over Alaska are highly correlated with the Ocean Niño Index, suggesting a link between El Niño and Asian pollution transport to the Arctic. AIRS shows lower-than-average CO columns over Alaska during April 2008, despite the Russian fires, due to a weakened Aleutian Low hindering transport from Asia and associated with the moderate 2007–2008 La Niña. This suggests that Asian pollution influence over the Arctic may be particularly large under strong El Niño conditions. Text aleutian low Arctic Arctic pollution Alaska Michigan Technological University: Digital Commons @ Michigan Tech Arctic
spellingShingle Department of Civil
Environmental
and Geospatial Engineering
Department of Geological and Mining Engineering and Sciences
Civil and Environmental Engineering
Geological Engineering
Mining Engineering
Fisher, J. A.
Jacob, D. J.
Purdy, M. T.
Kopacz, M.
Le Sager, P.
Wu, Shiliang
Source attribution and interannual variability of Arctic pollution in spring constrained by aircraft (ARCTAS, ARCPAC) and satellite (AIRS) observations of carbon monoxide
title Source attribution and interannual variability of Arctic pollution in spring constrained by aircraft (ARCTAS, ARCPAC) and satellite (AIRS) observations of carbon monoxide
title_full Source attribution and interannual variability of Arctic pollution in spring constrained by aircraft (ARCTAS, ARCPAC) and satellite (AIRS) observations of carbon monoxide
title_fullStr Source attribution and interannual variability of Arctic pollution in spring constrained by aircraft (ARCTAS, ARCPAC) and satellite (AIRS) observations of carbon monoxide
title_full_unstemmed Source attribution and interannual variability of Arctic pollution in spring constrained by aircraft (ARCTAS, ARCPAC) and satellite (AIRS) observations of carbon monoxide
title_short Source attribution and interannual variability of Arctic pollution in spring constrained by aircraft (ARCTAS, ARCPAC) and satellite (AIRS) observations of carbon monoxide
title_sort source attribution and interannual variability of arctic pollution in spring constrained by aircraft (arctas, arcpac) and satellite (airs) observations of carbon monoxide
topic Department of Civil
Environmental
and Geospatial Engineering
Department of Geological and Mining Engineering and Sciences
Civil and Environmental Engineering
Geological Engineering
Mining Engineering
topic_facet Department of Civil
Environmental
and Geospatial Engineering
Department of Geological and Mining Engineering and Sciences
Civil and Environmental Engineering
Geological Engineering
Mining Engineering
url https://digitalcommons.mtu.edu/michigantech-p/1407
https://doi.org/10.5194/acp-10-977-2010
https://digitalcommons.mtu.edu/context/michigantech-p/article/2410/viewcontent/acp_10_977_2010.pdf