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DOI | 10.5194/acp-19-13569-2019 |
New constraints on biogenic emissions using satellite-based estimates of carbon monoxide fluxes | |
Worden H.M.; Anthony Bloom A.; Worden J.R.; Jiang Z.; Marais E.A.; Stavrakou T.; Gaubert B.; Lacey F. | |
发表日期 | 2019 |
ISSN | 16807316 |
起始页码 | 13569 |
结束页码 | 13579 |
卷号 | 19期号:21 |
英文摘要 | 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. © Author(s) 2019. |
语种 | 英语 |
scopus关键词 | biogenic emission; biomass burning; carbon flux; carbon monoxide; fossil fuel; partitioning; volatile organic compound |
来源期刊 | Atmospheric Chemistry and Physics
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/144054 |
作者单位 | Atmospheric Chemistry Observations and Modeling (ACOM), National Center for Atmospheric Research (NCAR), Boulder, CO, United States; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States; School of Earth and Space Sciences, University of Science and Technology of China, Hefei, China; School of Physics and Astronomy, University of Leicester, Leicester, United Kingdom; Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium |
推荐引用方式 GB/T 7714 | Worden H.M.,Anthony Bloom A.,Worden J.R.,et al. New constraints on biogenic emissions using satellite-based estimates of carbon monoxide fluxes[J],2019,19(21). |
APA | Worden H.M..,Anthony Bloom A..,Worden J.R..,Jiang Z..,Marais E.A..,...&Lacey F..(2019).New constraints on biogenic emissions using satellite-based estimates of carbon monoxide fluxes.Atmospheric Chemistry and Physics,19(21). |
MLA | Worden H.M.,et al."New constraints on biogenic emissions using satellite-based estimates of carbon monoxide fluxes".Atmospheric Chemistry and Physics 19.21(2019). |
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