Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.5194/acp-18-7217-2018 |
Large-scale tropospheric transport in the Chemistry-Climate Model Initiative (CCMI) simulations | |
Orbe, Clara1,2,3,22; Yang, Huang3; Waugh, Darryn W.3; Zeng, Guang4; Morgenstern, Olaf4; Kinnison, Douglas E.5; Lamarque, Jean-Francois5; Tilmes, Simone5; Plummer, David A.6; Scinocca, John F.7; Josse, Beatrice8; Marecal, Virginie8; Joeckel, Patrick9; Oman, Luke D.10; Strahan, Susan E.10,11; Deushi, Makoto12; Tanaka, Taichu Y.12; Yoshida, Kohei12; Akiyoshi, Hideharu13; Yamashita, Yousuke13,14; Stenke, Andreas15; Revell, Laura15,16; Sukhodolov, Timofei15,17; Rozanov, Eugene15,17; Pitari, Giovanni18; Visioni, Daniele18; Stone, Kane A.19,20,23; Schofield, Robyn19,20; Banerjee, Antara21 | |
2018-05-25 | |
发表期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS
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ISSN | 1680-7316 |
EISSN | 1680-7324 |
出版年 | 2018 |
卷号 | 18期号:10页码:7217-7235 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; New Zealand; Canada; France; Germany; Japan; Switzerland; Italy; Australia |
英文摘要 | 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. |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000433159600001 |
WOS关键词 | CUMULUS PARAMETERIZATION ; POLLUTION TRANSPORT ; TRACER TRANSPORT ; OZONE ; CONVECTION ; AIR ; IMPLEMENTATION ; SENSITIVITY ; ATMOSPHERE ; AEROSOLS |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/28383 |
专题 | 地球科学 |
作者单位 | 1.Goddard Earth Sci Technol & Res GESTAR, Columbia, MD 21044 USA; 2.NASA, Goddard Space Flight Ctr, Global Modeling & Assimilat Off, Greenbelt, MD 20771 USA; 3.Johns Hopkins Univ, Dept Earth & Planetary Sci, Baltimore, MD 21218 USA; 4.Natl Inst Water & Atmospher Res, Wellington, New Zealand; 5.NCAR, ACOM, Boulder, CO USA; 6.Environm & Climate Change Canada, Climate Res Branch, Montreal, PQ, Canada; 7.Environm & Climate Change Canada, Climate Res Branch, Victoria, BC, Canada; 8.Meteo France, CNRS, UMR 3589, Ctr Natl Rech Meteorol, Toulouse, France; 9.Deutsch Zentrum Luft & Raumfahrt DLR, Inst Phys Atmosphare, Oberpfaffenhofen, Germany; 10.NASA, Goddard Space Flight Ctr, Atmospher Chem & Dynam Lab, Greenbelt, MD USA; 11.Univ Space Res Assoc, Columbia, MD USA; 12.Mission Res Inc, Tsukuba, Ibaraki, Japan; 13.Natl Inst Environm Studies, Ctr Global Environm Res, Climate Modeling & Anal Sect, Tsukuba, Ibaraki, Japan; 14.Japan Agcy Marine Earth Sci & Technol JAMSTEC, Yokohama, Kanagawa, Japan; 15.Swiss Fed Inst Technol, Inst Atmospher & Climate Sci, Zurich, Switzerland; 16.Bodeker Sci, Christchurch, New Zealand; 17.Davos World Radiat Ctr, Phys Meteorol Observ, Davos, Switzerland; 18.Univ Aquila, Dept Phys & Chem Sci, Laquila, Italy; 19.Univ Melbourne, Sch Earth Sci, Melbourne, Vic 3010, Australia; 20.Univ New South Wales, ARC Ctr Excellence Climate Syst Sci, Sydney, NSW 2052, Australia; 21.Columbia Univ, Dept Appl Phys & Appl Math, New York, NY USA; 22.NASA, Goddard Inst Space Studies, New York, NY 10025 USA; 23.MIT, Dept Earth Atmospher & Planetary Sci, Cambridge, MA 02139 USA |
推荐引用方式 GB/T 7714 | Orbe, Clara,Yang, Huang,Waugh, Darryn W.,et al. Large-scale tropospheric transport in the Chemistry-Climate Model Initiative (CCMI) simulations[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2018,18(10):7217-7235. |
APA | Orbe, Clara.,Yang, Huang.,Waugh, Darryn W..,Zeng, Guang.,Morgenstern, Olaf.,...&Banerjee, Antara.(2018).Large-scale tropospheric transport in the Chemistry-Climate Model Initiative (CCMI) simulations.ATMOSPHERIC CHEMISTRY AND PHYSICS,18(10),7217-7235. |
MLA | Orbe, Clara,et al."Large-scale tropospheric transport in the Chemistry-Climate Model Initiative (CCMI) simulations".ATMOSPHERIC CHEMISTRY AND PHYSICS 18.10(2018):7217-7235. |
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