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

Viewed

Total article views: 2,922 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,432 1,325 165 2,922 153 168
  • HTML: 1,432
  • PDF: 1,325
  • XML: 165
  • Total: 2,922
  • BibTeX: 153
  • EndNote: 168
Views and downloads (calculated since 29 Jan 2015)
Cumulative views and downloads (calculated since 29 Jan 2015)
Latest update: 11 Feb 2026
Download
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.
Share
Altmetrics
Final-revised paper
Preprint