Articles | Volume 9, issue 9
Geosci. Model Dev., 9, 2999–3026, 2016
https://doi.org/10.5194/gmd-9-2999-2016
Geosci. Model Dev., 9, 2999–3026, 2016
https://doi.org/10.5194/gmd-9-2999-2016

Development and technical paper 02 Sep 2016

Development and technical paper | 02 Sep 2016

Constraining a land-surface model with multiple observations by application of the MPI-Carbon Cycle Data Assimilation System V1.0

Gregor J. Schürmann et al.

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Cited articles

Anav, A., Friedlingstein, P., Kidston, M., Bopp, L., Ciais, P., Cox, P., Jones, C., Jung, M., Myneni, R., and Zhu, Z.: Evaluating the Land and Ocean Components of the Global Carbon Cycle in the CMIP5 Earth System Models, J. Climate, 26, 6801–6843, 2013.
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Brooks, A. and Farquhar, G.: Effect of temperature on the CO2/O2 specificity of ribulose-1,5-bisphosphate carboxylase/oxygenase and the rate of respiration in the light, Planta, 165, 397–406, https://doi.org/10.1007/BF00392238, 1985.
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Short summary
We describe the Max Planck Institute Carbon Cycle Data Assimilation System (MPI-CCDAS). The system improves the modelled carbon cycle of the terrestrial biosphere by systematically confronting (or assimilating) the model with observations of atmospheric CO2 and fractions of absorbed photosynthetically active radiation. Jointly assimilating both data streams outperforms the single-data stream experiments, thus showing the value of a multi-data stream assimilation.