Concepts
4 concepts
framework
model performance evaluation
Statistical assessment of how well model outputs match observational data using metrics like correlation and efficiency measures
framework
ensemble learning
Machine learning approach that combines multiple algorithms to improve predictive performance and robustness
framework
Bayesian inference
Statistical approach using prior distributions and likelihood functions to make probabilistic inferences about model parameters
framework
Bayesian retrieval
Statistical approach using prior information and measurement uncertainties to optimally estimate atmospheric properties
