Advanced Climate Model Uncertainty Quantification

Develop a Python framework for comprehensive uncertainty quantification in climate model simulations, supporting multiple ensemble techniques and statistical approaches. Create modular tools for propagating uncertainties, performing sensitivity analysis, and generating probabilistic climate projections. Implement advanced statistical techniques like Bayesian inference, Monte Carlo sampling, and generate interactive uncertainty visualization dashboards with confidence intervals and scenario comparisons.