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Geosci. Model Dev. Discuss., 3, 2051-2070, 2010
www.geosci-model-dev-discuss.net/3/2051/2010/
doi:10.5194/gmdd-3-2051-2010
© Author(s) 2010. This work is distributed
under the Creative Commons Attribution 3.0 License.


Simulation of atmospheric carbon dioxide variability with a global coupled Eulerian-Lagrangian transport model

Y. Koyama1, S. Maksyutov1, H. Mukai1, K. Thoning2, and P. Tans2
1National Institute for Environmental Studies, Tsukuba, Japan
2NOAA Earth System Research Laboratory, Boulder, USA

Abstract. This study assesses the advantages of using a coupled atmospheric-tracer transport model, comprising a global Eulerian model and a global Lagrangian particle dispersion model, for reproducibility of tracer gas variation affected by near field around observation sites. The ability to resolve variability in atmospheric composition on an hourly time scale and a spatial scale of several kilometers would be beneficial for analyzing data from continuous ground-based monitoring and upcoming space-based observations. The coupled model yields increased horizontal resolution of transport and fluxes, and has been tested in regional-scale studies of atmospheric chemistry. By applying the Lagrangian component to the global domain, we extend this approach to the global scale, thereby enabling global inverse modeling and data assimilation. To validate the coupled model, we compare model-simulated CO2 concentrations with continuous observations at two sites operated by the National Oceanic and Atmospheric Administration, USA and one site operated by National Institute for Environmental Studies, Japan. As the purpose of this study is limited to demonstration of the new modeling approach, we select a small subset of 3 sites to highlight use of the model in various geographical areas. To explore the capability of the coupled model in simulating synoptic-scale meteorological phenomena, we calculate the correlation coefficients and variance ratios between deseasonalized model-simulated and observed CO2 concentrations. Compared with the Eulerian model alone, the coupled model yields improved agreement between modeled and observed CO2 concentrations.

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Citation: Koyama, Y., Maksyutov, S., Mukai, H., Thoning, K., and Tans, P.: Simulation of atmospheric carbon dioxide variability with a global coupled Eulerian-Lagrangian transport model, Geosci. Model Dev. Discuss., 3, 2051-2070, doi:10.5194/gmdd-3-2051-2010, 2010.   Bibtex   EndNote   Reference Manager    XML