ACP Atmospheric Chemistry and Physics ACP Atmos. Chem. Phys. 1680-7324 Copernicus Publications Göttingen, Germany 10.5194/acp-13-5103-2013 Evaluation of seasonal atmosphere–biosphere exchange estimations with TCCON measurements Messerschmidt J. 1 Parazoo N. 2 Wunch D. https://orcid.org/0000-0002-4924-0377 1 Deutscher N. M. https://orcid.org/0000-0002-2906-2577 3 Roehl C. 1 Warneke T. 3 Wennberg P. O. https://orcid.org/0000-0002-6126-3854 1 California Institute of Technology, Pasadena, CA, USA Jet Propulsion Laboratory, Pasadena, CA, USA Institute of Environmental Physics, Bremen, Germany 17 05 2013 13 10 5103 5115 Copyright: © 2013 J. Messerschmidt et al. 2013 This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/3.0/ This article is available from https://acp.copernicus.org/articles/13/5103/2013/acp-13-5103-2013.html The full text article is available as a PDF file from https://acp.copernicus.org/articles/13/5103/2013/acp-13-5103-2013.pdf

We evaluate three estimates of the atmosphere-biosphere exchange against total column CO<sub>2</sub> observations from the Total Carbon Column Observing Network (TCCON). Using the GEOS-Chem transport model, we produce forward simulations of atmospheric CO<sub>2</sub> concentrations for the 2006–2010 time period using the Carnegie-Ames-Stanford Approach (CASA), the Simple Biosphere (SiB) and the GBiome-BGC models. Large differences in the CO<sub>2</sub> simulations result from the choice of the atmosphere-biosphere model. We evaluate the seasonal cycle phase, amplitude and shape of the simulations. The version of CASA currently used as the a priori model by the GEOS-Chem carbon cycle community poorly represents the season cycle in total column CO<sub>2</sub>. Consistent with earlier studies, enhancing the CO<sub>2</sub> uptake in the boreal forest and shifting the onset of the growing season earlier significantly improve the simulated seasonal CO<sub>2</sub> cycle using CASA estimates. The SiB model gives a better representation of the seasonal cycle dynamics. The difference in the seasonality of net ecosystem exchange (NEE) between these models is not the absolute gross primary productivity (GPP), but rather the differential phasing of ecosystem respiration (RE) with respect to GPP between these models.

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