Polynomial Chaos–Based Bayesian Inference of K-Profile Parameterization in a General Circulation Model of the Tropical Pacific

Engineering

• Test Statistic 100%
• Surrogate Model 66%
• Good Agreement 33%
• Model Prediction 33%
• Compressed Sensing 33%
• Quality Data 33%
• Basis Pursuit 33%
• Determines 33%
• Default Value 33%
• Computational Cost 33%

Earth and Planetary Sciences

• Markov Chain Monte Carlo 100%
• General Circulation Model 100%
• Turbulent Mixing 33%
• Richardson Number 33%
• Data Quality 33%
• Timescale 33%

Keyphrases

• Seasonal Timescale 33%
• Bulk Richardson number 33%
• Bayesian Inference Method 33%
• Gradient Richardson number 33%
• Default Values 33%
• Basis Pursuit Denoising 33%
• Data Filtering 33%