1. Top-down CO emissions based on IASI observations and hemispheric constraints on OH levels
- Author
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Jenny J.F. Müller, Trissevgeni Stavrakou, Martin Andreas Robert M. George, Colm Sweeney, Daniel Hurtmans, Maite Bauwens, Cathy Clerbaux, Pierre-François Coheur, Belgian Institute for Space Aeronomy / Institut d'Aéronomie Spatiale de Belgique (BIRA-IASB), TROPO - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), Spectroscopie de l'atmosphère, Service de Chimie Quantique et Photophysique, Université libre de Bruxelles (ULB), NOAA Earth System Research Laboratory (ESRL), National Oceanic and Atmospheric Administration (NOAA), and Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
- Subjects
010504 meteorology & atmospheric sciences ,inverse modeling ,Infrared atmospheric sounding interferometer ,010502 geochemistry & geophysics ,Atmospheric sciences ,01 natural sciences ,7. Clean energy ,carbon monoxide ,chemistry.chemical_compound ,Independent data ,Observation data ,0105 earth and related environmental sciences ,chemistry.chemical_classification ,[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere ,Northern Hemisphere ,emissions ,Geophysics ,Hydrocarbon ,chemistry ,13. Climate action ,[SDE]Environmental Sciences ,General Earth and Planetary Sciences ,hydroxyl ,Hydroxyl radical ,[CHIM.OTHE]Chemical Sciences/Other ,Carbon monoxide - Abstract
International audience; Assessments 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 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 × 105molec. cm−3, ca. 18% lower than the best estimate based on MCF measurements) provides the best overall agreement with all tested observation datasets.
- Published
- 2018