Can a “state of the art” chemistry transport model simulate Amazonian tropospheric chemistry?
Identifieur interne : 000492 ( Main/Exploration ); précédent : 000491; suivant : 000493Can a “state of the art” chemistry transport model simulate Amazonian tropospheric chemistry?
Auteurs : Michael P. Barkley [Royaume-Uni] ; Paul I. Palmer [Royaume-Uni] ; Laurens Ganzeveld [Pays-Bas] ; Almut Arneth [Suède, Allemagne] ; Daniel Hagberg [Suède] ; Thomas Karl [États-Unis] ; Alex Guenther [États-Unis] ; Fabien Paulot [États-Unis] ; Paul O. Wennberg [États-Unis] ; Jingqiu Mao [États-Unis] ; Thomas P. Kurosu [États-Unis] ; Kelly Chance [États-Unis] ; J. Müller [Belgique] ; Isabelle De Smedt [Belgique] ; Michel Van Roozendael [Belgique] ; Dan Chen [République populaire de Chine, États-Unis] ; Yuxuan Wang [République populaire de Chine] ; Robert M. Yantosca [États-Unis]Source :
- Journal of Geophysical Research: Atmospheres [ 0148-0227 ] ; 2011-08-27.
Abstract
We present an evaluation of a nested high‐resolution Goddard Earth Observing System (GEOS)‐Chem chemistry transport model simulation of tropospheric chemistry over tropical South America. The model has been constrained with two isoprene emission inventories: (1) the canopy‐scale Model of Emissions of Gases and Aerosols from Nature (MEGAN) and (2) a leaf‐scale algorithm coupled to the Lund‐Potsdam‐Jena General Ecosystem Simulator (LPJ‐GUESS) dynamic vegetation model, and the model has been run using two different chemical mechanisms that contain alternative treatments of isoprene photo‐oxidation. Large differences of up to 100 Tg C yr−1 exist between the isoprene emissions predicted by each inventory, with MEGAN emissions generally higher. Based on our simulations we estimate that tropical South America (30–85°W, 14°N–25°S) contributes about 15–35% of total global isoprene emissions. We have quantified the model sensitivity to changes in isoprene emissions, chemistry, boundary layer mixing, and soil NOx emissions using ground‐based and airborne observations. We find GEOS‐Chem has difficulty reproducing several observed chemical species; typically hydroxyl concentrations are underestimated, whilst mixing ratios of isoprene and its oxidation products are overestimated. The magnitude of model formaldehyde (HCHO) columns are most sensitive to the choice of chemical mechanism and isoprene emission inventory. We find GEOS‐Chem exhibits a significant positive bias (10–100%) when compared with HCHO columns from the Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY) and Ozone Monitoring Instrument (OMI) for the study year 2006. Simulations that use the more detailed chemical mechanism and/or lowest isoprene emissions provide the best agreement to the satellite data, since they result in lower‐HCHO columns.
Url:
DOI: 10.1029/2011JD015893
Affiliations:
- Allemagne, Belgique, Pays-Bas, Royaume-Uni, République populaire de Chine, Suède, États-Unis
- Bade-Wurtemberg, Californie, District de Karlsruhe, Massachusetts, New Jersey, Région de Bruxelles-Capitale, Écosse
- Bruxelles, Cambridge (Massachusetts), Karlsruhe, Princeton (New Jersey), Pékin, Édimbourg
- Université Harvard, Université d'Édimbourg, Université de Princeton
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Kurosu</name><affiliation wicri:level="1"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Atomic and Molecular Physics Division, Harvard‐Smithsonian Center for Astrophysics, Massachusetts, Cambridge</wicri:regionArea><wicri:noRegion>Cambridge</wicri:noRegion></affiliation></author><author><name sortKey="Chance, Kelly" sort="Chance, Kelly" uniqKey="Chance K" first="Kelly" last="Chance">Kelly Chance</name><affiliation wicri:level="1"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Atomic and Molecular Physics Division, Harvard‐Smithsonian Center for Astrophysics, Massachusetts, Cambridge</wicri:regionArea><wicri:noRegion>Cambridge</wicri:noRegion></affiliation></author><author><name sortKey="Muller, J" sort="Muller, J" uniqKey="Muller J" first="J." last="Müller">J. Müller</name><affiliation wicri:level="3"><country xml:lang="fr">Belgique</country><wicri:regionArea>Belgian Institute for Space Aeronomy, Brussels</wicri:regionArea><placeName><settlement type="city">Bruxelles</settlement><region nuts="2">Région de Bruxelles-Capitale</region></placeName></affiliation></author><author><name sortKey="De Smedt, Isabelle" sort="De Smedt, Isabelle" uniqKey="De Smedt I" first="Isabelle" last="De Smedt">Isabelle De Smedt</name><affiliation wicri:level="3"><country xml:lang="fr">Belgique</country><wicri:regionArea>Belgian Institute for Space Aeronomy, Brussels</wicri:regionArea><placeName><settlement type="city">Bruxelles</settlement><region nuts="2">Région de Bruxelles-Capitale</region></placeName></affiliation></author><author><name sortKey="Van Roozendael, Michel" sort="Van Roozendael, Michel" uniqKey="Van Roozendael M" first="Michel" last="Van Roozendael">Michel Van Roozendael</name><affiliation wicri:level="3"><country xml:lang="fr">Belgique</country><wicri:regionArea>Belgian Institute for Space Aeronomy, Brussels</wicri:regionArea><placeName><settlement type="city">Bruxelles</settlement><region nuts="2">Région de Bruxelles-Capitale</region></placeName></affiliation></author><author><name sortKey="Chen, Dan" sort="Chen, Dan" uniqKey="Chen D" first="Dan" last="Chen">Dan Chen</name><affiliation wicri:level="3"><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Environmental Science and Engineering, Tsinghua University, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation><affiliation wicri:level="2"><country xml:lang="fr" wicri:curation="lc">États-Unis</country><wicri:regionArea>Now at Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, California</wicri:regionArea><placeName><region type="state">Californie</region></placeName></affiliation></author><author><name sortKey="Wang, Yuxuan" sort="Wang, Yuxuan" uniqKey="Wang Y" first="Yuxuan" last="Wang">Yuxuan Wang</name><affiliation wicri:level="3"><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Institute for Global Change Studies, Tsinghua University, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Yantosca, Robert M" sort="Yantosca, Robert M" uniqKey="Yantosca R" first="Robert M." last="Yantosca">Robert M. Yantosca</name><affiliation wicri:level="4"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Division of Engineering and Applied Sciences, Harvard University, Massachusetts, Cambridge</wicri:regionArea><orgName type="university">Université Harvard</orgName><placeName><settlement type="city">Cambridge (Massachusetts)</settlement><region type="state">Massachusetts</region></placeName></affiliation></author></analytic><monogr></monogr><series><title level="j">Journal of Geophysical Research: Atmospheres</title><title level="j" type="abbrev">J. Geophys. Res.</title><idno type="ISSN">0148-0227</idno><idno type="eISSN">2156-2202</idno><imprint><publisher>Blackwell Publishing Ltd</publisher><date type="published" when="2011-08-27">2011-08-27</date><biblScope unit="volume">116</biblScope><biblScope unit="issue">D16</biblScope><biblScope unit="page" from="/">n/a</biblScope><biblScope unit="page" to="/">n/a</biblScope></imprint><idno type="ISSN">0148-0227</idno></series><idno type="istex">07C6B5234456A5AEF4BFCD06DB3448F726DD0DCB</idno><idno type="DOI">10.1029/2011JD015893</idno><idno type="ArticleID">2011JD015893</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0148-0227</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract">We present an evaluation of a nested high‐resolution Goddard Earth Observing System (GEOS)‐Chem chemistry transport model simulation of tropospheric chemistry over tropical South America. The model has been constrained with two isoprene emission inventories: (1) the canopy‐scale Model of Emissions of Gases and Aerosols from Nature (MEGAN) and (2) a leaf‐scale algorithm coupled to the Lund‐Potsdam‐Jena General Ecosystem Simulator (LPJ‐GUESS) dynamic vegetation model, and the model has been run using two different chemical mechanisms that contain alternative treatments of isoprene photo‐oxidation. Large differences of up to 100 Tg C yr−1 exist between the isoprene emissions predicted by each inventory, with MEGAN emissions generally higher. Based on our simulations we estimate that tropical South America (30–85°W, 14°N–25°S) contributes about 15–35% of total global isoprene emissions. We have quantified the model sensitivity to changes in isoprene emissions, chemistry, boundary layer mixing, and soil NOx emissions using ground‐based and airborne observations. We find GEOS‐Chem has difficulty reproducing several observed chemical species; typically hydroxyl concentrations are underestimated, whilst mixing ratios of isoprene and its oxidation products are overestimated. The magnitude of model formaldehyde (HCHO) columns are most sensitive to the choice of chemical mechanism and isoprene emission inventory. We find GEOS‐Chem exhibits a significant positive bias (10–100%) when compared with HCHO columns from the Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY) and Ozone Monitoring Instrument (OMI) for the study year 2006. Simulations that use the more detailed chemical mechanism and/or lowest isoprene emissions provide the best agreement to the satellite data, since they result in lower‐HCHO columns.</div></front></TEI><affiliations><list><country><li>Allemagne</li><li>Belgique</li><li>Pays-Bas</li><li>Royaume-Uni</li><li>République populaire de Chine</li><li>Suède</li><li>États-Unis</li></country><region><li>Bade-Wurtemberg</li><li>Californie</li><li>District de Karlsruhe</li><li>Massachusetts</li><li>New Jersey</li><li>Région de Bruxelles-Capitale</li><li>Écosse</li></region><settlement><li>Bruxelles</li><li>Cambridge (Massachusetts)</li><li>Karlsruhe</li><li>Princeton (New Jersey)</li><li>Pékin</li><li>Édimbourg</li></settlement><orgName><li>Université Harvard</li><li>Université d'Édimbourg</li><li>Université de Princeton</li></orgName></list><tree><country name="Royaume-Uni"><noRegion><name sortKey="Barkley, Michael P" sort="Barkley, Michael P" uniqKey="Barkley M" first="Michael P." last="Barkley">Michael P. 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