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dc.contributor.authorBarkley, M.P.
dc.contributor.authorPalmer, P.I.
dc.contributor.authorGanzeveld, L.
dc.contributor.authorArneth, A.
dc.contributor.authorHagberg, D.
dc.contributor.authorKarl, T.
dc.contributor.authorGuenther, A.
dc.contributor.authorPaulot, F.
dc.contributor.authorWennberg, P.O.
dc.contributor.authorMao, J.
dc.contributor.authorKurosu, T.P.
dc.contributor.authorChance, K.
dc.contributor.authorMuller, J.-F.
dc.contributor.authorDe Smedt, I.
dc.contributor.authorVan Roozendael, M.
dc.contributor.authorChen, D.
dc.contributor.authorWang, Y.
dc.contributor.authorYantosca, R.M.
dc.date2011
dc.date.accessioned2016-03-29T12:43:50Z
dc.date.available2016-03-29T12:43:50Z
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/3058
dc.descriptionWe 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.
dc.languageeng
dc.titleCan a "state of the art" chemistry transport model simulate Amazonian tropospheric chemistry?
dc.typeArticle
dc.subject.frascatiEarth and related Environmental sciences
dc.audienceScientific
dc.subject.freeGeologic models
dc.subject.freeOxidation
dc.subject.freeOzone
dc.subject.freeSpectrometers
dc.subject.freeTroposphere
dc.subject.freeUltraviolet spectrometers
dc.subject.freeAirborne observations
dc.subject.freeBoundary layer mixing
dc.subject.freeChemical mechanism
dc.subject.freeChemical species
dc.subject.freeChemistry transport model
dc.subject.freeDynamic vegetation model
dc.subject.freeGoddard earth observing systems
dc.subject.freeGround based
dc.subject.freeHigh resolution
dc.subject.freeHydroxyl concentrations
dc.subject.freeIsoprene emission
dc.subject.freeMixing ratios
dc.subject.freeModel sensitivity
dc.subject.freeOxidation products
dc.subject.freeOzone monitoring instruments
dc.subject.freePositive bias
dc.subject.freeSatellite data
dc.subject.freeScanning imaging absorption spectrometer for atmospheric chartography
dc.subject.freeSouth America
dc.subject.freeState of the art
dc.subject.freeTropospheric chemistry
dc.subject.freeComputer simulation
dc.subject.freealgorithm
dc.subject.freeatmospheric chemistry
dc.subject.freeatmospheric pollution
dc.subject.freeboundary layer
dc.subject.freeemission inventory
dc.subject.freeEOS
dc.subject.freeisoprene
dc.subject.freeozone
dc.subject.freephotochemistry
dc.subject.freetroposphere
dc.subject.freeAmazonia
dc.source.titleJournal of Geophysical Research: Atmospheres
dc.source.volume116
dc.source.issue16
dc.source.pageD16302
Orfeo.peerreviewedYes
dc.identifier.doi10.1029/2011JD015893
dc.identifier.scopus2-s2.0-80052074736


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