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| Titel |
Simulation of variability in atmospheric carbon dioxide using a global coupled Eulerian – Lagrangian transport model |
| VerfasserIn |
Y. Koyama, S. Maksyutov, H. Mukai, K. Thoning, P. Tans |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 4, no. 2 ; Nr. 4, no. 2 (2011-04-18), S.317-324 |
| Datensatznummer |
250001656
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| Publikation (Nr.) |
 copernicus.org/gmd-4-317-2011.pdf |
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| Zusammenfassung |
| 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, to improve the reproducibility of tracer-gas
variations affected by the near-field surface emissions and transport 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 from upcoming space-based observations. The
coupled model yields an increase in the 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 computationally
efficient global inverse modeling and data assimilation. To validate the
coupled model, we compare model-simulated CO2 concentrations with
continuous observations at three sites: two operated by the National Oceanic
and Atmospheric Administration, USA, and one operated by the National
Institute for Environmental Studies, Japan. As the goal of this study is
limited to introducing the new modeling approach, we selected a transport
simulation at these three sites to demonstrate how the model may perform at
various geographical areas. The coupled model provides improved agreement
between modeled and observed CO2 concentrations in comparison to the
Eulerian model. In an area where variability in CO2 concentration is
dominated by a fossil fuel signal, the correlation coefficient between
modeled and observed concentrations increases by between 0.05 to 0.1 from
the original values of 0.5–0.6 achieved with the Eulerian model. |
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