Parameter calibration in global soil carbon models using surrogate-based optimization

Mathematics

• Surrogate Model 100%
• Carbon 82%
• Soil 78%
• Calibration 70%
• Optimization 49%
• Surrogate 34%
• Prediction 30%
• Data Assimilation 26%
• Model 21%
• Markov Chain Monte Carlo 19%
• Climate Change 14%
• Costs 13%
• Parameter Uncertainty 12%
• Prediction Error 10%
• Optimization Techniques 10%
• Optimization Methods 10%
• Optimization Algorithm 9%
• Global Optimization 9%
• Computational Cost 9%
• Community 9%
• Mean Squared Error 9%
• Roots 7%
• Experiment 7%
• Evaluation 6%
• Cycle 6%
• Observation 6%

Earth & Environmental Sciences

• soil carbon 67%
• calibration 44%
• organic carbon 36%
• prediction 23%
• parameter 22%
• Markov chain 20%
• soil 19%
• data assimilation 18%
• cost 14%
• land 10%
• biogeochemistry 10%
• carbon emission 9%
• carbon cycle 9%
• climate change 5%
• sampling 5%

Engineering & Materials Science

• Organic carbon 71%
• Soils 51%
• Calibration 50%
• Carbon 49%
• Biogeochemistry 19%
• Markov chains 18%
• Costs 10%
• Climate change 10%
• Global optimization 9%
• Sampling 6%
• Uncertainty 5%