Modelling wintertime Arctic Haze and sea-spray aerosols
International audience Anthropogenic and natural emissions contribute to enhanced concentrations of aerosols, so-called Arctic Haze in the Arctic winter and early spring. Models still have difficulties reproducing available observations. Whilst most attention has focused on the contribution of anthr...
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Other Authors: | , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2023
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Online Access: | https://hal-insu.archives-ouvertes.fr/insu-03696235 https://hal-insu.archives-ouvertes.fr/insu-03696235/document https://hal-insu.archives-ouvertes.fr/insu-03696235/file/egusphere-2022-310.pdf https://doi.org/10.5194/egusphere-2022-310 |
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ftuniversailles:oai:HAL:insu-03696235v1 |
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record_format |
openpolar |
institution |
Open Polar |
collection |
Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQ |
op_collection_id |
ftuniversailles |
language |
English |
topic |
[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph] |
spellingShingle |
[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph] Ioannidis, Eleftherios Law, Kathy S. Raut, Jean-Christophe Marelle, Louis Onishi, Tatsuo Kirpes, Rachel, Upchurch, Lucia Massling, Andreas Skov, Henrik Quinn, Patricia, Pratt, Kerri Modelling wintertime Arctic Haze and sea-spray aerosols |
topic_facet |
[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph] |
description |
International audience Anthropogenic and natural emissions contribute to enhanced concentrations of aerosols, so-called Arctic Haze in the Arctic winter and early spring. Models still have difficulties reproducing available observations. Whilst most attention has focused on the contribution of anthropogenic aerosols, there has been less focus on natural components such as sea-spray aerosols (SSA), including sea-salt sulphate and marine organics, which can make an important contribution to fine and coarse mode aerosols, particularly in coastal areas. Models tend to underestimate sub-micron and overestimate super-micron SSA in polar regions, including in the Arctic region. Quasi-hemispheric runs of the Weather Research Forecast model, coupled with chemistry model (WRF-Chem) are compared to aerosol composition data at remote Arctic sites to evaluate the model performance simulating wintertime Arctic Haze. Results show that the model overestimates sea-salt (sodium and chloride) and nitrate and underestimates sulphate aerosols. Inclusion of more recent wind-speed and sea-surface temperature dependencies for sea-salt emissions, as well as inclusion of marine organic and sea-salt sulphate aerosol emissions leads to better agreement with the observations during wintertime. The model captures better the contribution of SSA to total mass for different aerosol modes, ranging from 20-93% in the observations. The sensitivity of modelled SSA to processes influencing SSA production are examined in regional runs over northern Alaska (United States) where the model underestimates episodes of high SSA, particularly in the sub-micron, that were observed in winter 2014 during field campaigns at the Barrow Observatory, Utqiaġvik. A local source of marine organics is also included following previous studies showing evidence for an important contribution from marine emissions. Model results show relatively small sensitivity to aerosol dry removal with more sensitivity (improved biases) to using a higher wind speed dependence based ... |
author2 |
TROPO - LATMOS Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) Department of Chemistry Ann Arbor University of Michigan Ann Arbor University of Michigan System-University of Michigan System NOAA Pacific Marine Environmental Laboratory Seattle (PMEL) National Oceanic and Atmospheric Administration (NOAA) Department of Environmental Science Roskilde (ENVS) Aarhus University Aarhus Department of Earth and Environmental Sciences Ann Arbor |
format |
Article in Journal/Newspaper |
author |
Ioannidis, Eleftherios Law, Kathy S. Raut, Jean-Christophe Marelle, Louis Onishi, Tatsuo Kirpes, Rachel, Upchurch, Lucia Massling, Andreas Skov, Henrik Quinn, Patricia, Pratt, Kerri |
author_facet |
Ioannidis, Eleftherios Law, Kathy S. Raut, Jean-Christophe Marelle, Louis Onishi, Tatsuo Kirpes, Rachel, Upchurch, Lucia Massling, Andreas Skov, Henrik Quinn, Patricia, Pratt, Kerri |
author_sort |
Ioannidis, Eleftherios |
title |
Modelling wintertime Arctic Haze and sea-spray aerosols |
title_short |
Modelling wintertime Arctic Haze and sea-spray aerosols |
title_full |
Modelling wintertime Arctic Haze and sea-spray aerosols |
title_fullStr |
Modelling wintertime Arctic Haze and sea-spray aerosols |
title_full_unstemmed |
Modelling wintertime Arctic Haze and sea-spray aerosols |
title_sort |
modelling wintertime arctic haze and sea-spray aerosols |
publisher |
HAL CCSD |
publishDate |
2023 |
url |
https://hal-insu.archives-ouvertes.fr/insu-03696235 https://hal-insu.archives-ouvertes.fr/insu-03696235/document https://hal-insu.archives-ouvertes.fr/insu-03696235/file/egusphere-2022-310.pdf https://doi.org/10.5194/egusphere-2022-310 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Barrow Alaska |
genre_facet |
Arctic Barrow Alaska |
op_source |
ISSN: 1680-7367 EISSN: 1680-7375 Atmospheric Chemistry and Physics Discussions https://hal-insu.archives-ouvertes.fr/insu-03696235 Atmospheric Chemistry and Physics Discussions, In press, ⟨10.5194/egusphere-2022-310⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/egusphere-2022-310 insu-03696235 https://hal-insu.archives-ouvertes.fr/insu-03696235 https://hal-insu.archives-ouvertes.fr/insu-03696235/document https://hal-insu.archives-ouvertes.fr/insu-03696235/file/egusphere-2022-310.pdf doi:10.5194/egusphere-2022-310 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.5194/egusphere-2022-310 |
_version_ |
1768381839588720640 |
spelling |
ftuniversailles:oai:HAL:insu-03696235v1 2023-06-11T04:08:32+02:00 Modelling wintertime Arctic Haze and sea-spray aerosols Ioannidis, Eleftherios Law, Kathy S. Raut, Jean-Christophe Marelle, Louis Onishi, Tatsuo Kirpes, Rachel, Upchurch, Lucia Massling, Andreas Skov, Henrik Quinn, Patricia, Pratt, Kerri TROPO - LATMOS Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) Department of Chemistry Ann Arbor University of Michigan Ann Arbor University of Michigan System-University of Michigan System NOAA Pacific Marine Environmental Laboratory Seattle (PMEL) National Oceanic and Atmospheric Administration (NOAA) Department of Environmental Science Roskilde (ENVS) Aarhus University Aarhus Department of Earth and Environmental Sciences Ann Arbor 2023 https://hal-insu.archives-ouvertes.fr/insu-03696235 https://hal-insu.archives-ouvertes.fr/insu-03696235/document https://hal-insu.archives-ouvertes.fr/insu-03696235/file/egusphere-2022-310.pdf https://doi.org/10.5194/egusphere-2022-310 en eng HAL CCSD European Geosciences Union info:eu-repo/semantics/altIdentifier/doi/10.5194/egusphere-2022-310 insu-03696235 https://hal-insu.archives-ouvertes.fr/insu-03696235 https://hal-insu.archives-ouvertes.fr/insu-03696235/document https://hal-insu.archives-ouvertes.fr/insu-03696235/file/egusphere-2022-310.pdf doi:10.5194/egusphere-2022-310 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 1680-7367 EISSN: 1680-7375 Atmospheric Chemistry and Physics Discussions https://hal-insu.archives-ouvertes.fr/insu-03696235 Atmospheric Chemistry and Physics Discussions, In press, ⟨10.5194/egusphere-2022-310⟩ [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph] info:eu-repo/semantics/article Journal articles 2023 ftuniversailles https://doi.org/10.5194/egusphere-2022-310 2023-05-02T22:42:28Z International audience Anthropogenic and natural emissions contribute to enhanced concentrations of aerosols, so-called Arctic Haze in the Arctic winter and early spring. Models still have difficulties reproducing available observations. Whilst most attention has focused on the contribution of anthropogenic aerosols, there has been less focus on natural components such as sea-spray aerosols (SSA), including sea-salt sulphate and marine organics, which can make an important contribution to fine and coarse mode aerosols, particularly in coastal areas. Models tend to underestimate sub-micron and overestimate super-micron SSA in polar regions, including in the Arctic region. Quasi-hemispheric runs of the Weather Research Forecast model, coupled with chemistry model (WRF-Chem) are compared to aerosol composition data at remote Arctic sites to evaluate the model performance simulating wintertime Arctic Haze. Results show that the model overestimates sea-salt (sodium and chloride) and nitrate and underestimates sulphate aerosols. Inclusion of more recent wind-speed and sea-surface temperature dependencies for sea-salt emissions, as well as inclusion of marine organic and sea-salt sulphate aerosol emissions leads to better agreement with the observations during wintertime. The model captures better the contribution of SSA to total mass for different aerosol modes, ranging from 20-93% in the observations. The sensitivity of modelled SSA to processes influencing SSA production are examined in regional runs over northern Alaska (United States) where the model underestimates episodes of high SSA, particularly in the sub-micron, that were observed in winter 2014 during field campaigns at the Barrow Observatory, Utqiaġvik. A local source of marine organics is also included following previous studies showing evidence for an important contribution from marine emissions. Model results show relatively small sensitivity to aerosol dry removal with more sensitivity (improved biases) to using a higher wind speed dependence based ... Article in Journal/Newspaper Arctic Barrow Alaska Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQ Arctic |