Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2016JD026239 |
Quantifying the causes of differences in tropospheric OH within global models | |
Nicely, Julie M.1,2,3; Salawitch, Ross J.1,4,5; Canty, Timothy4; Anderson, Daniel C.4; Arnold, Steve R.6; Chipperfield, Martyn P.6,7; Emmons, Louisa K.8; Flemming, Johannes9; Huijnen, Vincent10; Kinnison, Douglas E.8; Lamarque, Jean-Francois8; Mao, Jingqiu11,12; Monks, Sarah A.13,14; Steenrod, Stephen D.2,3; Tilmes, Simone8; Turquety, Solene15 | |
2017-02-16 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES |
ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2017 |
卷号 | 122期号:3 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; England; Netherlands; France |
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 (tau(CH4)) between these models. Annual average tau(CH4), 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 tCH4 (Delta tau(CH4)) result from variations in chemical mechanisms (Delta tau(CH4) = 0.46 years), the photolysis frequency (J) of O-3 -> O(D-1) (0.31 years), local O-3 (0.30 years), and CO (0.23 years). The Delta tau(CH4) 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. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000396119200036 |
WOS关键词 | ATMOSPHERIC CHEMISTRY ; OXIDATIVE CAPACITY ; METHYL CHLOROFORM ; METHANE LIFETIME ; TRANSPORT MODEL ; CARBON-MONOXIDE ; NEURAL-NETWORKS ; OZONE ; DEGRADATION ; UNCERTAINTY |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | 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/32193 |
专题 | 气候变化 |
作者单位 | 1.Univ Maryland, Dept Chem & Biochem, College Pk, MD 20742 USA; 2.NASA, Goddard Space Flight Ctr, Atmospher Chem & Dynam Lab, Greenbelt, MD 20771 USA; 3.Univ Space Res Assoc, Columbia, MD 21046 USA; 4.Univ Maryland, Dept Atmospher & Ocean Sci, College Pk, MD 20742 USA; 5.Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20742 USA; 6.Univ Leeds, Inst Climate & Atmospher Sci, Sch Earth & Environm, Leeds, W Yorkshire, England; 7.Univ Leeds, Natl Ctr Earth Observat, Leeds, W Yorkshire, England; 8.Natl Ctr Atmospher Res, POB 3000, Boulder, CO 80307 USA; 9.European Ctr Medium Range Weather Forecasts, Reading, Berks, England; 10.Royal Netherlands Meteorol Inst, De Bilt, Netherlands; 11.Univ Alaska Fairbanks, Inst Geophys, Fairbanks, AK 99775 USA; 12.Univ Alaska Fairbanks, Dept Chem, Fairbanks, AK USA; 13.NOAA, Div Chem Sci, Earth Syst Res Lab, Boulder, CO USA; 14.Univ Colorado Boulder, Cooperat Inst Res Environm Sci, Boulder, CO USA; 15.UPMC Univ Paris 6, Sorbonne Univ, IPSL, Lab Meteorol Dynam, Paris, France |
推荐引用方式 GB/T 7714 | Nicely, Julie M.,Salawitch, Ross J.,Canty, Timothy,et al. Quantifying the causes of differences in tropospheric OH within global models[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2017,122(3). |
APA | Nicely, Julie M..,Salawitch, Ross J..,Canty, Timothy.,Anderson, Daniel C..,Arnold, Steve R..,...&Turquety, Solene.(2017).Quantifying the causes of differences in tropospheric OH within global models.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,122(3). |
MLA | Nicely, Julie M.,et al."Quantifying the causes of differences in tropospheric OH within global models".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 122.3(2017). |
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