Concepts

Statistical assessment of how well model outputs match observational data using metrics like correlation and efficiency measures

Machine learning approach that combines multiple algorithms to improve predictive performance and robustness

Statistical approach using prior distributions and likelihood functions to make probabilistic inferences about model parameters

Statistical approach using prior information and measurement uncertainties to optimally estimate atmospheric properties