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Top-down isoprene emissions over tropical South America inferred from SCIAMACHY and OMI formaldehyde columns

dc.contributor.authorBarkley, M.P.
dc.contributor.authorSmedt, I.D.
dc.contributor.authorVan Roozendael, M.
dc.contributor.authorKurosu, T.P.
dc.contributor.authorChance, K.
dc.contributor.authorArneth, A.
dc.contributor.authorHagberg, D.
dc.contributor.authorGuenther, A.
dc.contributor.authorPaulot, F.
dc.contributor.authorMarais, E.
dc.contributor.authorMao, J.
dc.date2013
dc.date.accessioned2016-03-25T11:11:10Z
dc.date.available2016-03-25T11:11:10Z
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/2892
dc.descriptionWe use formaldehyde (HCHO) vertical column measurements from the Scanning Imaging Absorption spectrometer for Atmospheric Chartography (SCIAMACHY) and Ozone Monitoring Instrument (OMI), and a nested-grid version of the GEOS-Chem chemistry transport model, to infer an ensemble of top-down isoprene emission estimates from tropical South America during 2006, using different model configurations and assumptions in the HCHO air-mass factor (AMF) calculation. Scenes affected by biomass burning are removed on a daily basis using fire count observations, and we use the local model sensitivity to identify locations where the impact of spatial smearing is small, though this comprises spatial coverage over the region. We find that the use of the HCHO column data more tightly constrains the ensemble isoprene emission range from 27–61 Tg C to 31–38 Tg C for SCIAMACHY, and 45–104 Tg C to 28–38 Tg C for OMI. Median uncertainties of the top-down emissions are about 60–260% for SCIAMACHY, and 10–90% for OMI. We find that the inferred emissions are most sensitive to uncertainties in cloud fraction and cloud top pressure (differences of ±10%), the a priori isoprene emissions (±20%), and the HCHO vertical column retrieval (±30%). Construction of continuous top-down emission maps generally improves GEOS-Chem's simulation of HCHO columns over the region, with respect to both the SCIAMACHY and OMI data. However, if local time top-down emissions are scaled to monthly mean values, the annual emission inferred from SCIAMACHY are nearly twice those from OMI. This difference cannot be explained by the different sampling of the sensors or uncertainties in the AMF calculation.
dc.languageeng
dc.titleTop-down isoprene emissions over tropical South America inferred from SCIAMACHY and OMI formaldehyde columns
dc.typeArticle
dc.subject.frascatiEarth and related Environmental sciences
dc.audienceScientific
dc.subject.freeAtmospheric chemistry
dc.subject.freeFlexible couplings
dc.subject.freeFormaldehyde
dc.subject.freeSpectrometers
dc.subject.freeAmazon
dc.subject.freeChemistry transport model
dc.subject.freeGEOS-Chem
dc.subject.freeModel configuration
dc.subject.freeOMI
dc.subject.freeOzone monitoring instruments
dc.subject.freeScanning imaging absorption spectrometer for atmospheric chartography
dc.subject.freeSCIAMACHY
dc.subject.freeIsoprene
dc.subject.freeair mass
dc.subject.freeatmospheric chemistry
dc.subject.freebiogenic emission
dc.subject.freebiomass burning
dc.subject.freeEOS
dc.subject.freeformaldehyde
dc.subject.freeisoprene
dc.subject.freemonitoring
dc.subject.freeozone
dc.subject.freesampling
dc.subject.freesatellite data
dc.subject.freeSCIAMACHY
dc.subject.freetropical region
dc.subject.freeuncertainty analysis
dc.subject.freeAmazonia
dc.source.titleJournal of Geophysical Research: Atmospheres
dc.source.volume118
dc.source.issue12
dc.source.page6849-6868
Orfeo.peerreviewedYes
dc.identifier.doi10.1002/jgrd.50552
dc.identifier.scopus2-s2.0-84880910971


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