OptIC project: An intercomparison of optimization techniques for parameter estimation in terrestrial biogeochemical models

OptIC project: An intercomparison of optimization techniques for parameter estimation in terrestrial biogeochemical models

Source :

• Journal of Geophysical Research: Biogeosciences [ 0148-0227 ] ; 2007-06.

Descripteurs français

• Pascal (Inist)
  • Algorithme génétique, Analyse Chaîne Markov, Bruit, Chaîne Markov, Donnée manquante, Erreur, Estimation paramètre, Filtre Kalman, Fonction coût, Forçage, Modèle, Monde, Méthode Monte Carlo, Méthode optimisation, Optimisation, Projet, Prévision, Statistique.
• Wicri :
  • topic : Biomasse, Bruit, Statistique.

English descriptors

• KwdEn :
  • Absolute deviations, Adjoint, Algorithm, Atmospheric research, Auxiliary material, Best estimates, Biogeochemical, Biogeochemical models, Biomass, Canberra, Carlo, Constant weights, Corresponding figure, Cost function, Cost function weights, Cost functions, Covariance, Covariance matrix, Data assimilation, Data sets, Different cost function weights, Different methods, Different noise types, Different types, Eigenvalue, Enkf, Ensemble kalman filter, Error model, Estimation, Forcing, Gaussian, Gaussian noise, Gen1, Gen1a, Genetic algorithm, Global, Global change biol, Global search, Global search methods, Heterotrophic respiration, Initial values, Intercomparison, Iteration, Kalman, Kalman filter, Kalman filters, Linear function, Lm1r, Lm2z, Lognormal, Many parameters, Markov, Markov chain, Markov chain analysis, Markov chain monte carlo, Matrix, Mcmc, Met1, Met1r, Met2, Met2z, Met3, Metropolis algorithm, Missing data, Model adjoint, Model code, Model error, Model parameters, Monte Carlo analysis, Monte carlo sampling, More iterations, Multiple minima, Noise type, Noise types, Noisy observations, Nonlinear, Optic, Optic experiments, Optic model, Optic project, Optic results, Optimisation, Optimisation intercomparison, Optimization, Optimization calculation, Optimization method, Optimization methods, Other methods, Parameter, Parameter estimates, Parameter estimation, Parameter estimation methods, Parameter sets, Parameter space, Parameter values, Participant, Posterior distribution, Principal component analysis, Random noise, Raupach, Real application, Real applications, Residual, Robust, Same method, Second round, Seed production, Sequential, Sequential methods, Simplified test model, Soil carbon, Squared deviations, Standard deviation, State vector, Terrestrial biogeochemical models, Test model, Time series, Time steps, Trudinger, True estimates, True parameters, True values, Unit variance, Variance, errors, global, models, noise, optimization, prediction, projects, statistics.
• Teeft :
  • Absolute deviations, Adjoint, Algorithm, Atmospheric research, Auxiliary material, Best estimates, Biogeochemical, Biogeochemical models, Biomass, Canberra, Carlo, Constant weights, Corresponding figure, Cost function, Cost function weights, Cost functions, Covariance, Covariance matrix, Data assimilation, Data sets, Different cost function weights, Different methods, Different noise types, Different types, Eigenvalue, Enkf, Ensemble kalman filter, Error model, Estimation, Gaussian, Gaussian noise, Gen1, Gen1a, Genetic algorithm, Global, Global change biol, Global search, Global search methods, Heterotrophic respiration, Initial values, Intercomparison, Iteration, Kalman, Kalman filter, Linear function, Lm1r, Lm2z, Lognormal, Many parameters, Markov, Markov chain monte carlo, Matrix, Mcmc, Met1, Met1r, Met2, Met2z, Met3, Metropolis algorithm, Model adjoint, Model code, Model error, Model parameters, Monte carlo sampling, More iterations, Multiple minima, Noise type, Noise types, Noisy observations, Nonlinear, Optic, Optic experiments, Optic model, Optic project, Optic results, Optimisation, Optimisation intercomparison, Optimization, Optimization calculation, Optimization method, Optimization methods, Other methods, Parameter, Parameter estimates, Parameter estimation, Parameter estimation methods, Parameter sets, Parameter space, Parameter values, Participant, Posterior distribution, Principal component analysis, Random noise, Raupach, Real application, Real applications, Residual, Robust, Same method, Second round, Seed production, Sequential, Sequential methods, Simplified test model, Soil carbon, Squared deviations, Standard deviation, State vector, Terrestrial biogeochemical models, Test model, Time series, Time steps, Trudinger, True estimates, True parameters, True values, Unit variance, Variance.

Abstract

• https://api.istex.fr/document/8DDB33CDC018B24395EA2AC65E75FA0690CF6CC2/fulltext/pdf

Affiliations:

• Allemagne, Australie, France, États-Unis
• Oregon, Île-de-France
• Paris

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