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Top-Down CO Emissions Based On IASI Observations and Hemispheric Constraints on OH Levels

dc.contributor.authorMüller, J.-F.
dc.contributor.authorStavrakou, T.
dc.contributor.authorBauwens, M.
dc.contributor.authorGeorge, M.
dc.contributor.authorHurtmans, D.
dc.contributor.authorCoheur, P.-F.
dc.contributor.authorClerbaux, C.
dc.contributor.authorSweeney, C.
dc.date2018
dc.date.accessioned2018-03-08T11:54:27Z
dc.date.available2018-03-08T11:54:27Z
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/6848
dc.descriptionAssessments of carbon monoxide emissions through inverse modeling are dependent on the modeled abundance of the hydroxyl radical (OH) which controls both the primary sink of CO and its photochemical source through hydrocarbon oxidation. However, most chemistry transport models (CTMs) fall short of reproducing constraints on hemispherically averaged OH levels derived from methylchloroform (MCF) observations. Here we construct five different OH fields compatible with MCF-based analyses, and we prescribe those fields in a global CTM to infer CO fluxes based on Infrared Atmospheric Sounding Interferometer (IASI) CO columns. Each OH field leads to a different set of optimized emissions. Comparisons with independent data (surface, ground-based remotely sensed, aircraft) indicate that the inversion adopting the lowest average OH level in the Northern Hemisphere (7.8 × 105 molec cm−3, ∼18% lower than the best estimate based on MCF measurements) provides the best overall agreement with all tested observation data sets.
dc.languageeng
dc.titleTop-Down CO Emissions Based On IASI Observations and Hemispheric Constraints on OH Levels
dc.typeArticle
dc.subject.frascatiEarth and related Environmental sciences
dc.audienceScientific
dc.subject.freeCarbon monoxide
dc.subject.freeParticulate emissions
dc.subject.freeCarbon monoxide emissions
dc.subject.freeChemistry transport model
dc.subject.freeHydrocarbon oxidation
dc.subject.freeHydroxyl
dc.subject.freeInfrared atmospheric sounding interferometers
dc.subject.freeInverse modeling
dc.subject.freeNorthern Hemispheres
dc.subject.freePhotochemical sources
dc.subject.freeInverse problems
dc.source.titleGeophysical Research Letters
dc.source.volume45
dc.source.issue3
dc.source.page1621-1629
Orfeo.peerreviewedYes
dc.identifier.doi10.1002/2017GL076697
dc.identifier.scopus2-s2.0-85041215056


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