Articles | Volume 12, issue 9
https://doi.org/10.5194/bg-12-2809-2015
https://doi.org/10.5194/bg-12-2809-2015
Research article
 | 
13 May 2015
Research article |  | 13 May 2015

Bayesian inversions of a dynamic vegetation model at four European grassland sites

J. Minet, E. Laloy, B. Tychon, and L. François

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Short summary
We probabilistically invert the CARAIB dynamic vegetation model using a Markov chain Monte Carlo sampler, considering both homoscedastic and heteroscedastic eddy covariance residual errors with variances either fixed a priori or jointly inferred with the model parameters. A model validation experiment showed that CARAIB models calibrated considering heteroscedastic residual errors result in more robust posterior parameter distributions.
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