globalchange  > 影响、适应和脆弱性
DOI: 10.1002/2016JD026239
论文题名:
Quantifying the causes of differences in tropospheric OH within global models
作者: Nicely J.M.; Salawitch R.J.; Canty T.; Anderson D.C.; Arnold S.R.; Chipperfield M.P.; Emmons L.K.; Flemming J.; Huijnen V.; Kinnison D.E.; Lamarque J.-F.; Mao J.; Monks S.A.; Steenrod S.D.; Tilmes S.; Turquety S.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2017
卷: 122, 期:3
起始页码: 1983
结束页码: 2007
语种: 英语
英文关键词: hydroxyl radical ; methane lifetime ; OH ; oxidizing capacity ; POLMIP ; tropospheric chemistry
Scopus关键词: aerosol ; artificial neural network ; atmospheric chemistry ; global climate ; greenhouse gas ; hydroxyl radical ; isoprene ; methane ; nitrous oxide ; oxidant ; oxidation ; photolysis ; quantitative analysis ; troposphere
英文摘要: The hydroxyl radical (OH) is the primary daytime oxidant in the troposphere and provides the main loss mechanism for many pollutants and greenhouse gases, including methane (CH4). Global mean tropospheric OH differs by as much as 80% among various global models, for reasons that are not well understood. We use neural networks (NNs), trained using archived output from eight chemical transport models (CTMs) that participated in the Polar Study using Aircraft, Remote Sensing, Surface Measurements and Models, of Climate, Chemistry, Aerosols and Transport Model Intercomparison Project (POLMIP), to quantify the factors responsible for differences in tropospheric OH and resulting CH4 lifetime (τCH4) between these models. Annual average τCH4, for loss by OH only, ranges from 8.0 to 11.6 years for the eight POLMIP CTMs. The factors driving these differences were quantified by inputting 3-D chemical fields from one CTM into the trained NN of another CTM. Across all CTMs, the largest mean differences in τCH4 (ΔτCH4) result from variations in chemical mechanisms (ΔτCH4 = 0.46 years), the photolysis frequency (J) of O3 → O(1D) (0.31 years), local O3 (0.30 years), and CO (0.23 years). The ΔτCH4 due to CTM differences in NOx (NO + NO2) is relatively low (0.17 years), although large regional variation in OH between the CTMs is attributed to NOx. Differences in isoprene and J(NO2) have negligible overall effect on globally averaged tropospheric OH, although the extent of OH variations due to each factor depends on the model being examined. This study demonstrates that NNs can serve as a useful tool for quantifying why tropospheric OH varies between global models, provided that essential chemical fields are archived. ©2017. American Geophysical Union. All Rights Reserved.
资助项目: 283576
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被引频次[WOS]:24   [查看WOS记录]     [查看WOS中相关记录]
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62690
Appears in Collections:影响、适应和脆弱性
气候减缓与适应

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作者单位: Department of Chemistry and Biochemistry, University of Maryland, College Park, MD, United States; Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, United States; Universities Space Research Association, Columbia, MD, United States; Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD, United States; Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, United States; Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, Leeds, United Kingdom; National Centre for Earth Observation, University of Leeds, Leeds, United Kingdom; National Center for Atmospheric Research, Boulder, CO, United States; European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom; Royal Netherlands Meteorological Institute, De Bilt, Netherlands; Geophysical Institute and Department of Chemistry, University of Alaska Fairbanks, Fairbanks, AK, United States; Chemical Sciences Division, Earth System Research Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO, United States; Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, United States; Laboratoire de Météorologie Dynamique, IPSL, Sorbonne Universités, UPMC Université Paris 6, Paris, France

Recommended Citation:
Nicely J.M.,Salawitch R.J.,Canty T.,et al. Quantifying the causes of differences in tropospheric OH within global models[J]. Journal of Geophysical Research: Atmospheres,2017-01-01,122(3)
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