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Open AccessArticle

Atmospheric Simulations of Total Column CO2 Mole Fractions from Global to Mesoscale within the Carbon Monitoring System Flux Inversion Framework

1
Department of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, PA 16803, USA
2
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
*
Author to whom correspondence should be addressed.
Current address: Laboratoire des Sciences du Climat et de l’Environnement, CEA, CNRS, UVSQ/IPSL, Université Paris-Saclay, Orme des Merisiers, 91191 Gif-sur-Yvette CEDEX, France.
Atmosphere 2020, 11(8), 787; https://doi.org/10.3390/atmos11080787
Received: 9 July 2020 / Revised: 23 July 2020 / Accepted: 23 July 2020 / Published: 26 July 2020
(This article belongs to the Special Issue Atmospheric Modeling Study)
Quantifying the uncertainty of inversion-derived CO2 surface fluxes and attributing the uncertainty to errors in either flux or atmospheric transport simulations continue to be challenges in the characterization of surface sources and sinks of carbon dioxide (CO2). Despite recent studies inferring fluxes while using higher-resolution modeling systems, the utility of regional-scale models remains unclear when compared to existing coarse-resolution global systems. Here, we present an off-line coupling of the mesoscale Weather Research and Forecasting (WRF) model to optimized biogenic CO2 fluxes and mole fractions from the global Carbon Monitoring System inversion system (CMS-Flux). The coupling framework consists of methods to constrain the mass of CO2 introduced into WRF, effectively nesting our regional domain covering most of North America (except the northern half of Canada) within the CMS global model. We test the coupling by simulating Greenhouse gases Observing SATellite (GOSAT) column-averaged dry-air mole fractions (XCO2) over North America for 2010. We find mean model-model differences in summer of ∼0.12 ppm, significantly lower than the original coupling scheme (from 0.5 to 1.5 ppm, depending on the boundary). While 85% of the XCO2 values are due to long-range transport from outside our North American domain, most of the model-model differences appear to be due to transport differences in the fraction of the troposphere below 850 hPa. Satellite data from GOSAT and tower and aircraft data are used to show that vertical transport above the Planetary Boundary Layer is responsible for significant model-model differences in the horizontal distribution of column XCO2 across North America. View Full-Text
Keywords: Carbon cycle; GOSAT; Mesoscale modeling; model coupling; XCO2 Carbon cycle; GOSAT; Mesoscale modeling; model coupling; XCO2
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MDPI and ACS Style

Butler, M.P.; Lauvaux, T.; Feng, S.; Liu, J.; Bowman, K.W.; Davis, K.J. Atmospheric Simulations of Total Column CO2 Mole Fractions from Global to Mesoscale within the Carbon Monitoring System Flux Inversion Framework. Atmosphere 2020, 11, 787. https://doi.org/10.3390/atmos11080787

AMA Style

Butler MP, Lauvaux T, Feng S, Liu J, Bowman KW, Davis KJ. Atmospheric Simulations of Total Column CO2 Mole Fractions from Global to Mesoscale within the Carbon Monitoring System Flux Inversion Framework. Atmosphere. 2020; 11(8):787. https://doi.org/10.3390/atmos11080787

Chicago/Turabian Style

Butler, Martha P.; Lauvaux, Thomas; Feng, Sha; Liu, Junjie; Bowman, Kevin W.; Davis, Kenneth J. 2020. "Atmospheric Simulations of Total Column CO2 Mole Fractions from Global to Mesoscale within the Carbon Monitoring System Flux Inversion Framework" Atmosphere 11, no. 8: 787. https://doi.org/10.3390/atmos11080787

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