Articles | Volume 15, issue 1
https://doi.org/10.5194/bg-15-187-2018
https://doi.org/10.5194/bg-15-187-2018
Research article
 | 
10 Jan 2018
Research article |  | 10 Jan 2018

Evaluation and uncertainty analysis of regional-scale CLM4.5 net carbon flux estimates

Hanna Post, Harrie-Jan Hendricks Franssen, Xujun Han, Roland Baatz, Carsten Montzka, Marius Schmidt, and Harry Vereecken

Viewed

Total article views: 3,562 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,083 1,312 167 3,562 114 156
  • HTML: 2,083
  • PDF: 1,312
  • XML: 167
  • Total: 3,562
  • BibTeX: 114
  • EndNote: 156
Views and downloads (calculated since 02 Jan 2017)
Cumulative views and downloads (calculated since 02 Jan 2017)

Viewed (geographical distribution)

Total article views: 3,562 (including HTML, PDF, and XML) Thereof 3,471 with geography defined and 91 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 02 Apr 2025
Download
Short summary
Estimated values of selected key CLM4.5-BGC parameters obtained with the Markov chain Monte Carlo (MCMC) approach DREAM(zs) strongly altered catchment-scale NEE predictions in comparison to global default parameter values. The effect of perturbed meteorological input data on the uncertainty of the predicted carbon fluxes was notably higher for C3-grass and C3-crop than for coniferous and deciduous forest. A future distinction of different crop types including management is considered essential.
Share
Altmetrics
Final-revised paper
Preprint