New constraints on biogenic emissions using satellite-based estimates of carbon monoxide fluxes

Copernicus GmbH - Tập 19 Số 21 - Trang 13569-13579
H. Worden1, A. Anthony Bloom2, John R. Worden2, Zhe Jiang3, Eloïse A. Marais4, Trissevgeni Stavrakou5, Benjamin Gaubert1, Forrest Lacey1
1Atmospheric Chemistry Observations & Modeling (ACOM), National Center for Atmospheric Research (NCAR), Boulder, CO, USA
2Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA.
3School of Earth and Space Sciences, University of Science and Technology of China, Hefei, China
4School of Physics and Astronomy, University of Leicester, Leicester, UK
5Royal Belgian Institute for Space Aeronomy BIRA-IASB, Brussels, Belgium

Tóm tắt

Abstract. Biogenic non-methane volatile organic compounds (NMVOCs) emitted from vegetation are a primary source for the chemical production of carbon monoxide (CO) in the atmosphere, and these biogenic emissions account for about 18 % of the global CO burden. Partitioning CO fluxes to different source types in top-down inversion methods is challenging; typically a simple scaling of the posterior flux to prior flux values for fossil fuel, biogenic and biomass burning sources is used. Here we show top-down estimates of biogenic CO fluxes using a Bayesian inference approach, which explicitly accounts for both posterior and a priori CO flux uncertainties. This approach re-partitions CO fluxes following inversion of Measurements Of Pollution In The Troposphere (MOPITT) CO observations with the GEOS-Chem model, a global chemical transport model driven by assimilated meteorology from the NASA Goddard Earth Observing System (GEOS). We compare these results to the prior information for CO used to represent biogenic NMVOCs from GEOS-Chem, which uses the Model of Emissions of Gases and Aerosols from Nature (MEGAN) for biogenic emissions. We evaluate the a posteriori biogenic CO fluxes against top-down estimates of isoprene fluxes using Ozone Monitoring Instrument (OMI) formaldehyde observations. We find similar seasonality and spatial consistency in the posterior CO and top-down isoprene estimates globally. For the African savanna region, both top-down CO and isoprene seasonality vary significantly from the MEGAN a priori inventory. This method for estimating biogenic sources of CO will provide an independent constraint on modeled biogenic emissions and has the potential for diagnosing decadal-scale changes in emissions due to land-use change and climate variability.

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