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

Earth & Environmental Sciences

• terrestrial ecosystem 83%
• inversion 58%
• nitrogen 50%
• prediction 20%
• ecosystem 18%
• disequilibrium 11%
• probability density function 10%
• data assimilation 10%
• soil organic matter 9%
• assimilation 9%
• biomass 6%
• carbon 5%
• need 5%
• experiment 4%
• parameter 3%
• effect 2%

Chemical Compounds

• Ecosystem 100%
• Nitrogen 50%
• Soil Organic Matter 30%
• Carbon Atom 9%