A Multi-Model Assessment of Pollution Transport to the Arctic

We examine the response of Arctic gas and aerosol concentrations to perturbations in pollutant emissions from Europe, East and South Asia, and North America using results from a coordinated model intercomparison. These sensitivities to regional emissions (mixing ratio change per unit emission) vary...

Full description

Bibliographic Details
Main Authors: SHINDELL D. T., MIAN Chin, DENTENER Franciscus, DOHERTY R. M., FALUVEGI G., FIORE A. M., HESS P., KOCH D. M., MACKENZIE I. A., SANDERSON M. G., SCHULTZ M., SCHULZ M., STEVENSON D. S., TEICH H., TEXTOR C., WILD O., BERGMANN D. J., BEY I., BIAN H., CUVELIER Cornelis, DUNCAN B. N., FOLBERTH G., HOROWITZ L. W., JONSON J., KAMINSKI J. W., MARMER Elina, PARK R., PRINGLE K. J., SCHROEDER S., SZOPA S., TAKEMURA T., ZENG G., KEATING T. J., ZUBER A.
Language:English
Published: EUROPEAN GEOSCIENCES UNION 2008
Subjects:
Online Access:https://publications.jrc.ec.europa.eu/repository/handle/JRC45472
id ftjrc:oai:publications.jrc.ec.europa.eu:JRC45472
record_format openpolar
spelling ftjrc:oai:publications.jrc.ec.europa.eu:JRC45472 2024-09-15T17:59:57+00:00 A Multi-Model Assessment of Pollution Transport to the Arctic SHINDELL D. T. MIAN Chin DENTENER Franciscus DOHERTY R. M. FALUVEGI G. FIORE A. M. HESS P. KOCH D. M. MACKENZIE I. A. SANDERSON M. G. SCHULTZ M. SCHULZ M. STEVENSON D. S. TEICH H. TEXTOR C. WILD O. BERGMANN D. J. BEY I. BIAN H. CUVELIER Cornelis DUNCAN B. N. FOLBERTH G. HOROWITZ L. W. JONSON J. KAMINSKI J. W. MARMER Elina PARK R. PRINGLE K. J. SCHROEDER S. SZOPA S. TAKEMURA T. ZENG G. KEATING T. J. ZUBER A. 2008 Online https://publications.jrc.ec.europa.eu/repository/handle/JRC45472 eng eng EUROPEAN GEOSCIENCES UNION JRC45472 2008 ftjrc 2024-07-22T04:42:14Z We examine the response of Arctic gas and aerosol concentrations to perturbations in pollutant emissions from Europe, East and South Asia, and North America using results from a coordinated model intercomparison. These sensitivities to regional emissions (mixing ratio change per unit emission) vary widely across models and species. Intermodel differences are systematic, however, so that the relative importance of different regions is robust. North America contributes the most to Arctic ozone pollution. For aerosols and CO, European emissions dominate at the Arctic surface but Asian emissions become progressively more important with altitude, and are dominant in the upper troposphere. Sensitivities show strong seasonality: surface sensitivities typically maximize during boreal winter for European and during spring for East Asian and North American emissions. Mid-tropospheric sensitivities, however, nearly always maximize during spring or summer for all regions. Deposition of black carbon (BC) onto Greenland is most sensitive to North American emissions. North America and Europe each contribute 40% of total BC deposition to Greenland, with 20% from East Asia. Elsewhere in the Arctic, both sensitivity and total BC deposition are dominated by European emissions. Model diversity for aerosols is especially large, resulting primarily from differences in aerosol physics and removal. Comparison of aerosols with observations indicates problems in either the models or interpretation of the measurements. For gas phase pollutants such as CO and O3, which are relatively well-simulated, the processes contributing most to uncertainties depend on the source region. Uncertainties in the Arctic surface CO response to emissions perturbations are dominated by emissions for East Asian sources, while uncertainties in transport, emissions, and oxidation are comparable for European and North American sources. At higher levels, model-to-model variations in transport and oxidation are most important. Differences in photochemistry appear ... Other/Unknown Material black carbon Greenland Joint Research Centre, European Commission: JRC Publications Repository
institution Open Polar
collection Joint Research Centre, European Commission: JRC Publications Repository
op_collection_id ftjrc
language English
description We examine the response of Arctic gas and aerosol concentrations to perturbations in pollutant emissions from Europe, East and South Asia, and North America using results from a coordinated model intercomparison. These sensitivities to regional emissions (mixing ratio change per unit emission) vary widely across models and species. Intermodel differences are systematic, however, so that the relative importance of different regions is robust. North America contributes the most to Arctic ozone pollution. For aerosols and CO, European emissions dominate at the Arctic surface but Asian emissions become progressively more important with altitude, and are dominant in the upper troposphere. Sensitivities show strong seasonality: surface sensitivities typically maximize during boreal winter for European and during spring for East Asian and North American emissions. Mid-tropospheric sensitivities, however, nearly always maximize during spring or summer for all regions. Deposition of black carbon (BC) onto Greenland is most sensitive to North American emissions. North America and Europe each contribute 40% of total BC deposition to Greenland, with 20% from East Asia. Elsewhere in the Arctic, both sensitivity and total BC deposition are dominated by European emissions. Model diversity for aerosols is especially large, resulting primarily from differences in aerosol physics and removal. Comparison of aerosols with observations indicates problems in either the models or interpretation of the measurements. For gas phase pollutants such as CO and O3, which are relatively well-simulated, the processes contributing most to uncertainties depend on the source region. Uncertainties in the Arctic surface CO response to emissions perturbations are dominated by emissions for East Asian sources, while uncertainties in transport, emissions, and oxidation are comparable for European and North American sources. At higher levels, model-to-model variations in transport and oxidation are most important. Differences in photochemistry appear ...
author SHINDELL D. T.
MIAN Chin
DENTENER Franciscus
DOHERTY R. M.
FALUVEGI G.
FIORE A. M.
HESS P.
KOCH D. M.
MACKENZIE I. A.
SANDERSON M. G.
SCHULTZ M.
SCHULZ M.
STEVENSON D. S.
TEICH H.
TEXTOR C.
WILD O.
BERGMANN D. J.
BEY I.
BIAN H.
CUVELIER Cornelis
DUNCAN B. N.
FOLBERTH G.
HOROWITZ L. W.
JONSON J.
KAMINSKI J. W.
MARMER Elina
PARK R.
PRINGLE K. J.
SCHROEDER S.
SZOPA S.
TAKEMURA T.
ZENG G.
KEATING T. J.
ZUBER A.
spellingShingle SHINDELL D. T.
MIAN Chin
DENTENER Franciscus
DOHERTY R. M.
FALUVEGI G.
FIORE A. M.
HESS P.
KOCH D. M.
MACKENZIE I. A.
SANDERSON M. G.
SCHULTZ M.
SCHULZ M.
STEVENSON D. S.
TEICH H.
TEXTOR C.
WILD O.
BERGMANN D. J.
BEY I.
BIAN H.
CUVELIER Cornelis
DUNCAN B. N.
FOLBERTH G.
HOROWITZ L. W.
JONSON J.
KAMINSKI J. W.
MARMER Elina
PARK R.
PRINGLE K. J.
SCHROEDER S.
SZOPA S.
TAKEMURA T.
ZENG G.
KEATING T. J.
ZUBER A.
A Multi-Model Assessment of Pollution Transport to the Arctic
author_facet SHINDELL D. T.
MIAN Chin
DENTENER Franciscus
DOHERTY R. M.
FALUVEGI G.
FIORE A. M.
HESS P.
KOCH D. M.
MACKENZIE I. A.
SANDERSON M. G.
SCHULTZ M.
SCHULZ M.
STEVENSON D. S.
TEICH H.
TEXTOR C.
WILD O.
BERGMANN D. J.
BEY I.
BIAN H.
CUVELIER Cornelis
DUNCAN B. N.
FOLBERTH G.
HOROWITZ L. W.
JONSON J.
KAMINSKI J. W.
MARMER Elina
PARK R.
PRINGLE K. J.
SCHROEDER S.
SZOPA S.
TAKEMURA T.
ZENG G.
KEATING T. J.
ZUBER A.
author_sort SHINDELL D. T.
title A Multi-Model Assessment of Pollution Transport to the Arctic
title_short A Multi-Model Assessment of Pollution Transport to the Arctic
title_full A Multi-Model Assessment of Pollution Transport to the Arctic
title_fullStr A Multi-Model Assessment of Pollution Transport to the Arctic
title_full_unstemmed A Multi-Model Assessment of Pollution Transport to the Arctic
title_sort multi-model assessment of pollution transport to the arctic
publisher EUROPEAN GEOSCIENCES UNION
publishDate 2008
url https://publications.jrc.ec.europa.eu/repository/handle/JRC45472
genre black carbon
Greenland
genre_facet black carbon
Greenland
op_relation JRC45472
_version_ 1810437078808264704