Implications of the carbon cycle steady state assumption for biogeochemical modeling performance and inverse parameter retrieval

@inproceedings{Carvalhais2008ImplicationsOT,
  title={Implications of the carbon cycle steady state assumption for biogeochemical modeling performance and inverse parameter retrieval},
  author={Nuno Carvalhais and Markus Reichstein and J{\'u}lia Seixas and G. James Collatz and Jo{\~a}o Santos Pereira and Paul Berbigier and Arnaud Carrara and Andr{\'e} Granier and Leonardo Montagnani and Dario Papale and Serge Rambal and Mar{\'i}a Jos{\'e} Sanz and Riccardo Valentini},
  year={2008}
}
We analyze the impacts of the steady state assumption on inverse model parameter retrieval from biogeochemical models. An inverse model parameterization study using eddy covariance CO 2 flux data was performed with the Carnegie Ames Stanford Approach (CASA) model under conditions of strict and relaxed carbon cycle steady state assumption (CCSSA) in order to evaluate both the robustness of the model's structure for the simulation of net ecosystem carbon fluxes and the assessment of the CCSSA… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 26 CITATIONS

Soil Organic Carbon (SOC) Equilibrium and Model Initialisation Methods: an Application to the Rothamsted Carbon (RothC) Model

  • Environmental Modeling & Assessment
  • 2016
VIEW 3 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED