Write a piece that traces how forecasts for Tropical Storm Imelda shifted from a potential South Carolina landfall to a near-miss, highlighting the uncertainty inherent in hurricane tracking. Explain, with simple terms, why small changes in steering currents and interactions with Hurricane Humberto altered the track and reduced impacts inland and along the coast. Compare predicted worst-case scenarios to what actually unfolded, using concrete examples of wind, rain, and flood risk, and note how forecasters balance urgency with the reality of model divergence. Include a brief explainer of forecast models, AI-assisted tools, and why “one model got it right” is common in volatile systems. Conclude with lessons for residents and policymakers on preparation, communication, and resilience for future events.