Articles | Volume 6, issue 1
https://doi.org/10.5194/gmd-6-45-2013
https://doi.org/10.5194/gmd-6-45-2013
Development and technical paper
 | 
11 Jan 2013
Development and technical paper |  | 11 Jan 2013

Quantifying the model structural error in carbon cycle data assimilation systems

S. Kuppel, F. Chevallier, and P. Peylin

Related authors

Land surface model parameter optimisation using in situ flux data: comparison of gradient-based versus random search algorithms (a case study using ORCHIDEE v1.9.5.2)
Vladislav Bastrikov, Natasha MacBean, Cédric Bacour, Diego Santaren, Sylvain Kuppel, and Philippe Peylin
Geosci. Model Dev., 11, 4739–4754, https://doi.org/10.5194/gmd-11-4739-2018,https://doi.org/10.5194/gmd-11-4739-2018, 2018
Short summary
EcH2O-iso 1.0: water isotopes and age tracking in a process-based, distributed ecohydrological model
Sylvain Kuppel, Doerthe Tetzlaff, Marco P. Maneta, and Chris Soulsby
Geosci. Model Dev., 11, 3045–3069, https://doi.org/10.5194/gmd-11-3045-2018,https://doi.org/10.5194/gmd-11-3045-2018, 2018
Short summary
A new stepwise carbon cycle data assimilation system using multiple data streams to constrain the simulated land surface carbon cycle
Philippe Peylin, Cédric Bacour, Natasha MacBean, Sébastien Leonard, Peter Rayner, Sylvain Kuppel, Ernest Koffi, Abdou Kane, Fabienne Maignan, Frédéric Chevallier, Philippe Ciais, and Pascal Prunet
Geosci. Model Dev., 9, 3321–3346, https://doi.org/10.5194/gmd-9-3321-2016,https://doi.org/10.5194/gmd-9-3321-2016, 2016
Short summary
Model–data fusion across ecosystems: from multisite optimizations to global simulations
S. Kuppel, P. Peylin, F. Maignan, F. Chevallier, G. Kiely, L. Montagnani, and A. Cescatti
Geosci. Model Dev., 7, 2581–2597, https://doi.org/10.5194/gmd-7-2581-2014,https://doi.org/10.5194/gmd-7-2581-2014, 2014
Short summary

Related subject area

Biogeosciences
Optimising CH4 simulations from the LPJ-GUESS model v4.1 using an adaptive Markov chain Monte Carlo algorithm
Jalisha T. Kallingal, Johan Lindström, Paul A. Miller, Janne Rinne, Maarit Raivonen, and Marko Scholze
Geosci. Model Dev., 17, 2299–2324, https://doi.org/10.5194/gmd-17-2299-2024,https://doi.org/10.5194/gmd-17-2299-2024, 2024
Short summary
The XSO framework (v0.1) and Phydra library (v0.1) for a flexible, reproducible, and integrated plankton community modeling environment in Python
Benjamin Post, Esteban Acevedo-Trejos, Andrew D. Barton, and Agostino Merico
Geosci. Model Dev., 17, 1175–1195, https://doi.org/10.5194/gmd-17-1175-2024,https://doi.org/10.5194/gmd-17-1175-2024, 2024
Short summary
AgriCarbon-EO v1.0.1: large-scale and high-resolution simulation of carbon fluxes by assimilation of Sentinel-2 and Landsat-8 reflectances using a Bayesian approach
Taeken Wijmer, Ahmad Al Bitar, Ludovic Arnaud, Remy Fieuzal, and Eric Ceschia
Geosci. Model Dev., 17, 997–1021, https://doi.org/10.5194/gmd-17-997-2024,https://doi.org/10.5194/gmd-17-997-2024, 2024
Short summary
SAMM version 1.0: a numerical model for microbial- mediated soil aggregate formation
Moritz Laub, Sergey Blagodatsky, Marijn Van de Broek, Samuel Schlichenmaier, Benjapon Kunlanit, Johan Six, Patma Vityakon, and Georg Cadisch
Geosci. Model Dev., 17, 931–956, https://doi.org/10.5194/gmd-17-931-2024,https://doi.org/10.5194/gmd-17-931-2024, 2024
Short summary
A model of the within-population variability of budburst in forest trees
Jianhong Lin, Daniel Berveiller, Christophe François, Heikki Hänninen, Alexandre Morfin, Gaëlle Vincent, Rui Zhang, Cyrille Rathgeber, and Nicolas Delpierre
Geosci. Model Dev., 17, 865–879, https://doi.org/10.5194/gmd-17-865-2024,https://doi.org/10.5194/gmd-17-865-2024, 2024
Short summary

Cited articles

Baldocchi, D.: Breathing of the terrestrial biosphere: lessons learned from a global network of carbon dioxide flux measurement systems, Austr. J. Botany, 56, 1–26, https://doi.org/10.1071/Bt07151, 2008.
Bocquet, M., Wu, L., and Chevallier, F.: Bayesian design of control space for optimal assimilation of observations, Part I: Consistent multiscale formalism, Q. J. Roy. Meteorol. Soc., 137, 1340–1356, https://doi.org/10.1002/Qj.837, 2011.
Chevallier, F., Breon, F. M., and Rayner, P. J.: Contribution of the Orbiting Carbon Observatory to the estimation of CO(2) sources and sinks: Theoretical study in a variational data assimilation framework, J. Geophys. Res.-Atmos., 112, D09307, https://doi.org/10.1029/2006jd007375, 2007.
Download