Quantifying uncertainties from additional nitrogen data and processes in a terrestrial ecosystem model with Bayesian probabilistic inversion

Keyphrases

• Terrestrial Ecosystems 100%
• Uncertainty Quantification 100%
• Terrestrial Ecosystem Model 100%
• Bayesian Inversion 100%
• Ecosystem Model 40%
• C Dynamics 40%
• Nitrogen N 20%
• Model Prediction 20%
• Disequilibrium 20%
• C Pools 20%
• Woody Biomass 20%
• C Storage 20%
• Improving Model 20%
• Model Performance 20%
• Carbon C 20%
• Model Uncertainty 20%
• Soil Organic Carbon Pools 20%
• Probability Density Function 20%
• Data Assimilation Method 20%
• Coupled Models 20%
• C-N Coupling 20%
• Information Contribution 20%
• Relative Information 20%
• Posterior Probability Density 20%
• Additional Measurement 20%
• Slow Process 20%
• Prediction Period 20%
• Data Ecosystem 20%

Earth and Planetary Sciences

• Terrestrial Ecosystem 100%
• Soil Organic Matter 14%
• Data Assimilation 14%
• Probability Density Function 14%
• Data Ecosystem 14%