DAC+SHADE

DAC+SHADE is a technique used in climate modeling to better understand how different factors influence weather and climate, especially under uncertain conditions. DAC (Dynamic Adaptive Control) adjusts model parameters dynamically to improve accuracy, while SHADE (Sample-based Hierarchical Approximate Design Exploration) efficiently explores a wide range of scenarios. Together, they help researchers identify optimal configurations and responses, providing more reliable predictions. This approach is valuable for assessing climate interventions, policies, or natural variability, ultimately supporting better decision-making by capturing complex interactions and uncertainties in climate systems.