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A global coupled Eulerian-Lagrangian model and 1 × 1 km CO2 surface flux dataset for high-resolution atmospheric CO2 transport simulations

Ganshin, A and Oda, T and Saito, M and Maksyutov, S and Valsala, V and Andres, RJ and Fisher, RE and Lowry, D and Lukyanov, A and Matsueda, H and Nisbet, EG and Rigby, M and Sawa, Y and Toumi, R and Tsuboi, K and Varlagin, A and Zhuravlev, R (2012) A global coupled Eulerian-Lagrangian model and 1 × 1 km CO2 surface flux dataset for high-resolution atmospheric CO2 transport simulations. Geoscientific Model Development, 5 (1). pp. 231-243.

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Abstract

We designed a method to simulate atmospheric CO2 concentrations at several continuous observation sites around the globe using surface fluxes at a very high spatial resolution. The simulations presented in this study were performed using the Global Eulerian-Lagrangian Coupled Atmospheric model (GELCA), comprising a Lagrangian particle dispersion model coupled to a global atmospheric tracer transport model with prescribed global surface CO2 flux maps at a 1 × 1 km resolution. The surface fluxes used in the simulations were prepared by assembling the individual components of terrestrial, oceanic and fossil fuel CO2 fluxes. This experimental setup (i.e. a transport model running at a medium resolution, coupled to a high-resolution Lagrangian particle dispersion model together with global surface fluxes at a very high resolution), which was designed to represent high-frequency variations in atmospheric CO2 concentration, has not been reported at a global scale previously. Two sensitivity experiments were performed: (a) using the global transport model without coupling to the Lagrangian dispersion model, and (b) using the coupled model with a reduced resolution of surface fluxes, in order to evaluate the performance of Eulerian-Lagrangian coupling and the role of high-resolution fluxes in simulating high-frequency variations in atmospheric CO2 concentrations. A correlation analysis between observed and simulated atmospheric CO2 concentrations at selected locations revealed that the inclusion of both Eulerian-Lagrangian coupling and high-resolution fluxes improves the high-frequency simulations of the model. The results highlight the potential of a coupled Eulerian-Lagrangian model in simulating high-frequency atmospheric CO2 concentrations at many locations worldwide. The model performs well in representing observations of atmospheric CO2 concentrations at high spatial and temporal resolutions, especially for coastal sites and sites located close to sources of large anthropogenic emissions. While this study focused on simulations of CO2 concentrations, the model could be used for other atmospheric compounds with known estimated emissions

Item Type: Article
Additional Information: Copyrights Author(s) 2012. This work is distributed under the Creative Commons Attribution 3.0 License
Uncontrolled Keywords: anthropogenic effect; atmospheric pollution; carbon dioxide; correlation; data set; Eulerian analysis; Lagrangian analysis; pollutant transport; spatiotemporal analysis; tracer
Subjects: Meteorology and Climatology
Depositing User: IITM Library
Date Deposited: 26 Jun 2014 10:24
Last Modified: 26 Jun 2014 10:24
URI: http://moeseprints.incois.gov.in/id/eprint/418

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