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DOI10.5194/acp-20-3809-2020
Description and Evaluation of the specified-dynamics experiment in the Chemistry-Climate Model Initiative
Orbe C.; Plummer D.; Waugh D.; Yang H.; Jöckel P.; Kinnison D.; Josse B.; Marecal V.; Deushi M.; Luke Abraham N.; Archibald A.; Chipperfield M.; Dhomse S.; Feng W.; Bekki S.
发表日期2020
ISSN1680-7316
起始页码3809
结束页码3840
卷号20期号:6
英文摘要We provide an overview of the REF-C1SD specified-dynamics experiment that was conducted as part of phase 1 of the Chemistry-Climate Model Initiative (CCMI). The REF-C1SD experiment, which consisted of mainly nudged general circulation models (GCMs) constrained with (re)analysis fields, was designed to examine the influence of the large-scale circulation on past trends in atmospheric composition. The REF-C1SD simulations were produced across various model frameworks and are evaluated in terms of how well they represent different measures of the dynamical and transport circulations. In the troposphere there are large (ĝ1/440 %) differences in the climatological mean distributions, seasonal cycle amplitude, and trends of the meridional and vertical winds. In the stratosphere there are similarly large (ĝ1/450 %) differences in the magnitude, trends and seasonal cycle amplitude of the transformed Eulerian mean circulation and among various chemical and idealized tracers. At the same time, interannual variations in nearly all quantities are very well represented, compared to the underlying reanalyses. We show that the differences in magnitude, trends and seasonal cycle are not related to the use of different reanalysis products; rather, we show they are associated with how the simulations were implemented, by which we refer both to how the large-scale flow was prescribed and to biases in the underlying free-running models. In most cases these differences are shown to be as large or even larger than the differences exhibited by free-running simulations produced using the exact same models, which are also shown to be more dynamically consistent. Overall, our results suggest that care must be taken when using specified-dynamics simulations to examine the influence of large-scale dynamics on composition. © Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License.
语种英语
scopus关键词amplitude; atmospheric chemistry; atmospheric dynamics; chemical composition; climate modeling; experiment; general circulation model; seasonality; wind
来源期刊Atmospheric Chemistry and Physics
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/141438
作者单位NASA Goddard Institute for Space Studies, New York, NY, United States; Climate Research Branch, Environment and Climate Change Canada, Montreal, QC, Canada; Department of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, MD, United States; Department of Atmospheric and Ocean Sciences, University of California, Los Angeles, CA, United States; Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany; National Center for Atmospheric Research (NCAR), Atmospheric Chemistry Observations and Modeling (ACOM) Laboratory, Boulder, CO, United States; Centre National de Recherches Météorologiques UMR 3589, Météo-France, CNRS, Toulouse, France; Meteorological Research Institute (MRI), Tsukuba, Japan; Department of Chemistry, University of Cambridge, Cambridge, CB2 1EW, United Kingdom; National Centre for Atmospheric Science, Cambridge, United Kingdom; School of Earth and Environment, University of Leeds, Leeds, United Kingdom; Laboratoire de Météor...
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Orbe C.,Plummer D.,Waugh D.,et al. Description and Evaluation of the specified-dynamics experiment in the Chemistry-Climate Model Initiative[J],2020,20(6).
APA Orbe C..,Plummer D..,Waugh D..,Yang H..,Jöckel P..,...&Bekki S..(2020).Description and Evaluation of the specified-dynamics experiment in the Chemistry-Climate Model Initiative.Atmospheric Chemistry and Physics,20(6).
MLA Orbe C.,et al."Description and Evaluation of the specified-dynamics experiment in the Chemistry-Climate Model Initiative".Atmospheric Chemistry and Physics 20.6(2020).
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