Large-scale tropospheric transport in the Chemistry-Climate Model Initiative (CCMI) simulations
International audience Understanding and modeling the large-scale transport of trace gases and aerosols is important for interpreting past (and projecting future) changes in atmospheric composition. Here we show that there are large differences in the global-scale atmospheric transport properties am...
Published in: | Atmospheric Chemistry and Physics |
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Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Other Authors: | , , , , , , , , , , , , , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2019
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Online Access: | https://hal.archives-ouvertes.fr/hal-02374585 https://hal.archives-ouvertes.fr/hal-02374585/document https://hal.archives-ouvertes.fr/hal-02374585/file/OrbeetalACP2018.pdf https://doi.org/10.5194/acp-18-7217-2018 |
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[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph] |
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[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph] Orbe, Clara Yang, Huang Waugh, Darryn, Zeng, Guang Morgenstern, Olaf Kinnison, Douglas Lamarque, Jean-Francois Tilmes, Simone Plummer, David Scinocca, John Josse, Béatrice Marécal, Virginie Jöckel, Patrick Oman, Luke Strahan, Susan, Deushi, Makoto Tanaka, Taichu, Yoshida, Kohei Akiyoshi, Hideharu Yamashita, Yousuke Stenke, Andreas Revell, Laura Sukhodolov, Timofei Rozanov, Eugene Pitari, Giovanni Visioni, Daniele Stone, Kane Schofield, Robyn Banerjee, Antara Large-scale tropospheric transport in the Chemistry-Climate Model Initiative (CCMI) simulations |
topic_facet |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph] |
description |
International audience Understanding and modeling the large-scale transport of trace gases and aerosols is important for interpreting past (and projecting future) changes in atmospheric composition. Here we show that there are large differences in the global-scale atmospheric transport properties among the models participating in the IGAC SPARC Chemistry-Climate Model Initiative (CCMI). Specifically, we find up to 40 % differences in the transport timescales connecting the Northern Hemisphere (NH) midlatitude surface to the Arctic and to Southern Hemisphere high latitudes, where the mean age ranges between 1.7 and 2.6 years. We show that these differences are related to large differences in vertical transport among the simulations, in particular to differences in param-eterized convection over the oceans. While stronger convec-tion over NH midlatitudes is associated with slower transport to the Arctic, stronger convection in the tropics and sub-tropics is associated with faster interhemispheric transport. We also show that the differences among simulations constrained with fields derived from the same reanalysis products are as large as (and in some cases larger than) the differences among free-running simulations, most likely due to larger differences in parameterized convection. Our results indicate that care must be taken when using simulations constrained with analyzed winds to interpret the influence of meteorology on tropospheric composition. |
author2 |
National Institute of Water and Atmospheric Research Lauder (NIWA) National Center for Atmospheric Research Boulder (NCAR) Atmospheric Chemistry Observations and Modeling Laboratory (ACOML) Environment and Climate Change Canada Canadian Centre for Climate Modelling and Analysis (CCCma) Centre national de recherches météorologiques (CNRM) Météo France-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS) DLR Institut für Physik der Atmosphäre (IPA) Deutsches Zentrum für Luft- und Raumfahrt Oberpfaffenhofen-Wessling (DLR) NASA Goddard Space Flight Center (GSFC) Meteorological Research Institute Tsukuba (MRI) Japan Meteorological Agency (JMA) National Institute for Environmental Studies (NIES) Japan Agency for Marine-Earth Science and Technology (JAMSTEC) Institute for Atmospheric and Climate Science Zürich (IAC) Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology Zürich (ETH Zürich) Max-Planck-Institut für Sonnensystemforschung (MPS) Max-Planck-Gesellschaft Physikalisch-Meteorologisches Observatorium Davos/World Radiation Center (PMOD/WRC) University of L'Aquila Italy (UNIVAQ) Centre of Excellence CETEMPS Università degli Studi dell'Aquila (UNIVAQ) Massachusetts Institute of Technology (MIT) ARC Centre of Excellence for Climate System Science University of New South Wales Sydney (UNSW)-Australian Research Council Canberra (ARC) |
format |
Article in Journal/Newspaper |
author |
Orbe, Clara Yang, Huang Waugh, Darryn, Zeng, Guang Morgenstern, Olaf Kinnison, Douglas Lamarque, Jean-Francois Tilmes, Simone Plummer, David Scinocca, John Josse, Béatrice Marécal, Virginie Jöckel, Patrick Oman, Luke Strahan, Susan, Deushi, Makoto Tanaka, Taichu, Yoshida, Kohei Akiyoshi, Hideharu Yamashita, Yousuke Stenke, Andreas Revell, Laura Sukhodolov, Timofei Rozanov, Eugene Pitari, Giovanni Visioni, Daniele Stone, Kane Schofield, Robyn Banerjee, Antara |
author_facet |
Orbe, Clara Yang, Huang Waugh, Darryn, Zeng, Guang Morgenstern, Olaf Kinnison, Douglas Lamarque, Jean-Francois Tilmes, Simone Plummer, David Scinocca, John Josse, Béatrice Marécal, Virginie Jöckel, Patrick Oman, Luke Strahan, Susan, Deushi, Makoto Tanaka, Taichu, Yoshida, Kohei Akiyoshi, Hideharu Yamashita, Yousuke Stenke, Andreas Revell, Laura Sukhodolov, Timofei Rozanov, Eugene Pitari, Giovanni Visioni, Daniele Stone, Kane Schofield, Robyn Banerjee, Antara |
author_sort |
Orbe, Clara |
title |
Large-scale tropospheric transport in the Chemistry-Climate Model Initiative (CCMI) simulations |
title_short |
Large-scale tropospheric transport in the Chemistry-Climate Model Initiative (CCMI) simulations |
title_full |
Large-scale tropospheric transport in the Chemistry-Climate Model Initiative (CCMI) simulations |
title_fullStr |
Large-scale tropospheric transport in the Chemistry-Climate Model Initiative (CCMI) simulations |
title_full_unstemmed |
Large-scale tropospheric transport in the Chemistry-Climate Model Initiative (CCMI) simulations |
title_sort |
large-scale tropospheric transport in the chemistry-climate model initiative (ccmi) simulations |
publisher |
HAL CCSD |
publishDate |
2019 |
url |
https://hal.archives-ouvertes.fr/hal-02374585 https://hal.archives-ouvertes.fr/hal-02374585/document https://hal.archives-ouvertes.fr/hal-02374585/file/OrbeetalACP2018.pdf https://doi.org/10.5194/acp-18-7217-2018 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
ISSN: 1680-7316 EISSN: 1680-7324 Atmospheric Chemistry and Physics https://hal.archives-ouvertes.fr/hal-02374585 Atmospheric Chemistry and Physics, European Geosciences Union, 2019, 18 (10), pp.7217-7235. ⟨10.5194/acp-18-7217-2018⟩ |
op_relation |
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op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.5194/acp-18-7217-2018 |
container_title |
Atmospheric Chemistry and Physics |
container_volume |
18 |
container_issue |
10 |
container_start_page |
7217 |
op_container_end_page |
7235 |
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spelling |
ftccsdartic:oai:HAL:hal-02374585v1 2023-05-15T14:58:37+02:00 Large-scale tropospheric transport in the Chemistry-Climate Model Initiative (CCMI) simulations Orbe, Clara Yang, Huang Waugh, Darryn, Zeng, Guang Morgenstern, Olaf Kinnison, Douglas Lamarque, Jean-Francois Tilmes, Simone Plummer, David Scinocca, John Josse, Béatrice Marécal, Virginie Jöckel, Patrick Oman, Luke Strahan, Susan, Deushi, Makoto Tanaka, Taichu, Yoshida, Kohei Akiyoshi, Hideharu Yamashita, Yousuke Stenke, Andreas Revell, Laura Sukhodolov, Timofei Rozanov, Eugene Pitari, Giovanni Visioni, Daniele Stone, Kane Schofield, Robyn Banerjee, Antara National Institute of Water and Atmospheric Research Lauder (NIWA) National Center for Atmospheric Research Boulder (NCAR) Atmospheric Chemistry Observations and Modeling Laboratory (ACOML) Environment and Climate Change Canada Canadian Centre for Climate Modelling and Analysis (CCCma) Centre national de recherches météorologiques (CNRM) Météo France-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS) DLR Institut für Physik der Atmosphäre (IPA) Deutsches Zentrum für Luft- und Raumfahrt Oberpfaffenhofen-Wessling (DLR) NASA Goddard Space Flight Center (GSFC) Meteorological Research Institute Tsukuba (MRI) Japan Meteorological Agency (JMA) National Institute for Environmental Studies (NIES) Japan Agency for Marine-Earth Science and Technology (JAMSTEC) Institute for Atmospheric and Climate Science Zürich (IAC) Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology Zürich (ETH Zürich) Max-Planck-Institut für Sonnensystemforschung (MPS) Max-Planck-Gesellschaft Physikalisch-Meteorologisches Observatorium Davos/World Radiation Center (PMOD/WRC) University of L'Aquila Italy (UNIVAQ) Centre of Excellence CETEMPS Università degli Studi dell'Aquila (UNIVAQ) Massachusetts Institute of Technology (MIT) ARC Centre of Excellence for Climate System Science University of New South Wales Sydney (UNSW)-Australian Research Council Canberra (ARC) 2019 https://hal.archives-ouvertes.fr/hal-02374585 https://hal.archives-ouvertes.fr/hal-02374585/document https://hal.archives-ouvertes.fr/hal-02374585/file/OrbeetalACP2018.pdf https://doi.org/10.5194/acp-18-7217-2018 en eng HAL CCSD European Geosciences Union info:eu-repo/semantics/altIdentifier/doi/10.5194/acp-18-7217-2018 hal-02374585 https://hal.archives-ouvertes.fr/hal-02374585 https://hal.archives-ouvertes.fr/hal-02374585/document https://hal.archives-ouvertes.fr/hal-02374585/file/OrbeetalACP2018.pdf doi:10.5194/acp-18-7217-2018 info:eu-repo/semantics/OpenAccess ISSN: 1680-7316 EISSN: 1680-7324 Atmospheric Chemistry and Physics https://hal.archives-ouvertes.fr/hal-02374585 Atmospheric Chemistry and Physics, European Geosciences Union, 2019, 18 (10), pp.7217-7235. ⟨10.5194/acp-18-7217-2018⟩ [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph] info:eu-repo/semantics/article Journal articles 2019 ftccsdartic https://doi.org/10.5194/acp-18-7217-2018 2021-11-07T01:31:19Z International audience Understanding and modeling the large-scale transport of trace gases and aerosols is important for interpreting past (and projecting future) changes in atmospheric composition. Here we show that there are large differences in the global-scale atmospheric transport properties among the models participating in the IGAC SPARC Chemistry-Climate Model Initiative (CCMI). Specifically, we find up to 40 % differences in the transport timescales connecting the Northern Hemisphere (NH) midlatitude surface to the Arctic and to Southern Hemisphere high latitudes, where the mean age ranges between 1.7 and 2.6 years. We show that these differences are related to large differences in vertical transport among the simulations, in particular to differences in param-eterized convection over the oceans. While stronger convec-tion over NH midlatitudes is associated with slower transport to the Arctic, stronger convection in the tropics and sub-tropics is associated with faster interhemispheric transport. We also show that the differences among simulations constrained with fields derived from the same reanalysis products are as large as (and in some cases larger than) the differences among free-running simulations, most likely due to larger differences in parameterized convection. Our results indicate that care must be taken when using simulations constrained with analyzed winds to interpret the influence of meteorology on tropospheric composition. Article in Journal/Newspaper Arctic Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Arctic Atmospheric Chemistry and Physics 18 10 7217 7235 |