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

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