Large-scale tropospheric transport in the Chemistry-Climate Model Initiative (CCMI) simulations

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 particip...

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Published in:Atmospheric Chemistry and Physics
Other Authors: Orbe, Clara (author), Yang, Huang (author), Waugh, Darryn W. (author), Zeng, Guang (author), Morgenstern, Olaf (author), Kinnison, Douglas E. (author), Lamarque, Jean-Francois (author), Tilmes, Simone (author), Plummer, David A. (author), Scinocca, John F. (author), Josse, Beatrice (author), Marecal, Virginie (author), Jöckel, Patrick (author), Oman, Luke D. (author), Strahan, Susan E. (author), Deushi, Makoto (author), Tanaka, Taichu Y. (author), Yoshida, Kohei (author), Akiyoshi, Hideharu (author), Yamashita, Yousuke (author), Stenke, Andreas (author), Revell, Laura (author), Sukhodolov, Timofei (author), Rozanov, Eugene (author), Pitari, Giovanni (author), Visioni, Daniele (author), Stone, Kane A. (author), Schofield, Robyn (author), Banerjee, Antara (author)
Format: Article in Journal/Newspaper
Language:English
Published: 2018
Subjects:
Online Access:https://doi.org/10.5194/acp-18-7217-2018
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spelling ftncar:oai:drupal-site.org:articles_21679 2023-09-05T13:17:10+02:00 Large-scale tropospheric transport in the Chemistry-Climate Model Initiative (CCMI) simulations Orbe, Clara (author) Yang, Huang (author) Waugh, Darryn W. (author) Zeng, Guang (author) Morgenstern, Olaf (author) Kinnison, Douglas E. (author) Lamarque, Jean-Francois (author) Tilmes, Simone (author) Plummer, David A. (author) Scinocca, John F. (author) Josse, Beatrice (author) Marecal, Virginie (author) Jöckel, Patrick (author) Oman, Luke D. (author) Strahan, Susan E. (author) Deushi, Makoto (author) Tanaka, Taichu Y. (author) Yoshida, Kohei (author) Akiyoshi, Hideharu (author) Yamashita, Yousuke (author) Stenke, Andreas (author) Revell, Laura (author) Sukhodolov, Timofei (author) Rozanov, Eugene (author) Pitari, Giovanni (author) Visioni, Daniele (author) Stone, Kane A. (author) Schofield, Robyn (author) Banerjee, Antara (author) 2018-05-25 https://doi.org/10.5194/acp-18-7217-2018 en eng Atmospheric Chemistry and Physics--Atmos. Chem. Phys.--1680-7324 articles:21679 ark:/85065/d770846p doi:10.5194/acp-18-7217-2018 Copyright 2018 Author(s). This work is licensed under a Creative Commons Attribution 4.0 license. article Text 2018 ftncar https://doi.org/10.5194/acp-18-7217-2018 2023-08-14T18:47:10Z 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 parameterized convection over the oceans. While stronger convection over NH midlatitudes is associated with slower transport to the Arctic, stronger convection in the tropics and subtropics 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 OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) Arctic Atmospheric Chemistry and Physics 18 10 7217 7235
institution Open Polar
collection OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research)
op_collection_id ftncar
language English
description 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 parameterized convection over the oceans. While stronger convection over NH midlatitudes is associated with slower transport to the Arctic, stronger convection in the tropics and subtropics 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 Orbe, Clara (author)
Yang, Huang (author)
Waugh, Darryn W. (author)
Zeng, Guang (author)
Morgenstern, Olaf (author)
Kinnison, Douglas E. (author)
Lamarque, Jean-Francois (author)
Tilmes, Simone (author)
Plummer, David A. (author)
Scinocca, John F. (author)
Josse, Beatrice (author)
Marecal, Virginie (author)
Jöckel, Patrick (author)
Oman, Luke D. (author)
Strahan, Susan E. (author)
Deushi, Makoto (author)
Tanaka, Taichu Y. (author)
Yoshida, Kohei (author)
Akiyoshi, Hideharu (author)
Yamashita, Yousuke (author)
Stenke, Andreas (author)
Revell, Laura (author)
Sukhodolov, Timofei (author)
Rozanov, Eugene (author)
Pitari, Giovanni (author)
Visioni, Daniele (author)
Stone, Kane A. (author)
Schofield, Robyn (author)
Banerjee, Antara (author)
format Article in Journal/Newspaper
title Large-scale tropospheric transport in the Chemistry-Climate Model Initiative (CCMI) simulations
spellingShingle 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
publishDate 2018
url https://doi.org/10.5194/acp-18-7217-2018
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_relation Atmospheric Chemistry and Physics--Atmos. Chem. Phys.--1680-7324
articles:21679
ark:/85065/d770846p
doi:10.5194/acp-18-7217-2018
op_rights Copyright 2018 Author(s). This work is licensed under a Creative Commons Attribution 4.0 license.
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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