The BETHY/JSBACH Carbon Cycle Data Assimilation System: experiences and 
challenges

Kaminski, T.; Knorr, W.; Schürmann, Gregor; Scholze, M.; Rayner, P. J.; Zaehle, Sönke; Blessing, S.; Dorigo, W.; Gayler, V.; Giering, R.; Gobron, N.; Grant, J. P.; Heimann, Martin; Hooker-Strout, A.; Houweling, S.; Kato, T.; Kattge, Jens; Kelley, D.; Kemp, S.; Koffi, E. N.; Koestler, C.; Mathieu, P.P.; Pinty, B.; Reick, C. H.; Rödenbeck, Christian; Schnur, R.; Scipal, K.; Sebald, C.; Stacke, T.; van Scheltinga, A. Terwisscha; Vossbeck, M.; Widmann, H.; Ziehn, T.

doi:10.1002/jgrg.20118

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The BETHY/JSBACH Carbon Cycle Data Assimilation System: experiences and challenges

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Schürmann, Gregor
Terrestrial Biosphere Modelling & Data assimilation, Dr. S. Zähle, Department Biogeochemical Systems, Prof. M. Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Zaehle, Sönke
Terrestrial Biosphere Modelling & Data assimilation, Dr. S. Zähle, Department Biogeochemical Systems, Prof. M. Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society;
Terrestrial Biosphere Modelling , Dr. Sönke Zähle, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Heimann, Martin
Department Biogeochemical Systems, Prof. M. Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Kattge, Jens
Interdepartmental Max Planck Fellow Group Functional Biogeography, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Rödenbeck, Christian
Inverse Data-driven Estimation, Dr. C. Rödenbeck, Department Biogeochemical Systems, Prof. M. Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society;

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http://dx.doi.org/10.1002/jgrg.20118
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Citation

Kaminski, T., Knorr, W., Schürmann, G., Scholze, M., Rayner, P. J., Zaehle, S., et al. (2013). The BETHY/JSBACH Carbon Cycle Data Assimilation System: experiences and challenges. Journal of Geophysical Research: Biogeosciences, 118(4), 1414-1426. doi:10.1002/jgrg.20118.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0014-695C-4

Abstract

We present the concept of the Carbon Cycle Data Assimilation System and describe its evolution over the last two decades from an assimilation system around a simple diagnostic model of the terrestrial biosphere to a sys tem for the calibration and initialization of the land component of a comprehensive earth system model. We critically review the capability of this modeling frame- work to integrate multiple data streams, to assess their mutual consistency and with the model, to reduce uncertainties in the simulation of the terrestrial carbon cycle, to provide, in a traceable manner, reanalysis products with documented uncertainty, and to assist the design of the observational network. We highlight some of the challenges we met and experience we gained, give recommendations for operating the system and suggest directions for future development.