Assess learners' ability to evaluate regional climate model (RCM) projections and characterize their uncertainties for infrastructure adaptation planning. Scope includes RCM and downscaling approaches, ensemble and scenario selection, sources of uncertainty (model, scenario, internal variability), bias correction and validation against observations, selection of infrastructure-relevant metrics (extremes, return periods, seasonality) and timescales, methods to quantify and propagate uncertainty into impact and risk assessments, sensitivity/stress testing, and clear communication of probabilistic results to inform adaptive design and decision-making. Learners should be able to critique projection quality, justify methodological choices, quantify uncertainty effects on design decisions, and recommend risk-informed adaptation strategies.