Articles | Volume 11, issue 1
https://doi.org/10.5194/gmd-11-83-2018
https://doi.org/10.5194/gmd-11-83-2018
Model evaluation paper
 | 
09 Jan 2018
Model evaluation paper |  | 09 Jan 2018

Bayesian integration of flux tower data into a process-based simulator for quantifying uncertainty in simulated output

Rahul Raj, Christiaan van der Tol, Nicholas Alexander Samuel Hamm, and Alfred Stein

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Cited articles

Bastin, L., Cornford, D., Jones, R., Heuvelink, G. B. M., Pebesma, E., Stasch, C., Nativi, S., Mazzetti, P., and Williams, M.: Managing uncertainty in integrated environmental modelling: The UncertWeb framework, Environ. Model. Softw., 39, 116–134, https://doi.org/10.1016/j.envsoft.2012.02.008, 2013.
Braakhekke, M. C., Wutzler, T., Beer, C., Kattge, J., Schrumpf, M., Ahrens, B., Schöning, I., Hoosbeek, M. R., Kruijt, B., Kabat, P., and Reichstein, M.: Modeling the vertical soil organic matter profile using Bayesian parameter estimation, Biogeosciences, 10, 399–420, https://doi.org/10.5194/bg-10-399-2013, 2013.
Churkina, G. and Running, S. W.: Contrasting climatic controls on the estimated productivity of global terrestrial biomes, Ecosystems, 1, 206–215, 1998.
Collalti, A., Marconi, S., Ibrom, A., Trotta, C., Anav, A., D'Andrea, E., Matteucci, G., Montagnani, L., Gielen, B., Mammarella, I., Grünwald, T., Knohl, A., Berninger, F., Zhao, Y., Valentini, R., and Santini, M.: Validation of 3D-CMCC Forest Ecosystem Model (v.5.1) against eddy covariance data for 10 European forest sites, Geosci. Model Dev., 9, 479–504, https://doi.org/10.5194/gmd-9-479-2016, 2016.
Constable, J. V. H. and Friend, A. L.: Suitability of process-based tree growth models for addressing tree response to climate change, Environ. Pollut., 110, 47–59, 2000.
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