Probabilistic inversion of a terrestrial ecosystem model: Analysis of uncertainty in parameter estimation and model prediction

Keyphrases

• Parameter Estimation 100%
• Model Prediction 100%
• Transfer Coefficient 100%
• Uncertainty Analysis 100%
• Terrestrial Ecosystem Model 100%
• Probabilistic Inversion 100%
• Elevated CO2 80%
• Ambient CO2 60%
• C Pools 40%
• Woody Biomass 40%
• C Content 40%
• Pool Size 40%
• C Transfer 40%
• Microbes 20%
• Bayesian Approach 20%
• Mineral Soil 20%
• Ecosystem Response 20%
• Soil Respiration 20%
• Free Air 20%
• Markov Chain Monte Carlo Methods 20%
• Carbon C 20%
• Litterfall 20%
• Metabolic 20%
• Foliage Biomass 20%
• Soil C Pools 20%
• Probability Density Function 20%
• Bayesian Probability 20%
• Litter Layer 20%
• Effective Method 20%
• Inversion Method 20%
• Cumulative Distribution Function 20%
• Posterior Probability Density 20%
• Duke Forest 20%
• Constrained Parameters 20%
• Markov Chain Monte Carlo Inversion 20%
• Non-woody Biomass 20%
• Metropolis-Hastings Algorithm 20%

Earth and Planetary Sciences

• Terrestrial Ecosystem 100%
• Markov Chain Monte Carlo 100%
• Parameter Estimation 100%
• Ecosystem Response 50%
• Soil Respiration 50%
• Uncertainty Analysis 50%
• Litterfall 50%
• Distribution Function 50%
• Probability Density Function 50%

Agricultural and Biological Sciences

• Ecosystem Model 100%
• Terrestrial Ecosystem 100%
• Markov Chain 100%
• Microorganism 50%
• Mineral Soils 50%
• Soil Respiration 50%
• Uncertainty Analysis 50%
• Cumulative Distribution 50%