Tropical Storm Trudy Live Tracking Map

Based on current track, wind field, and forecast intensity, StormAtlas evaluates the overall risk level for Trudy as MODERATE. Primary potential hazards include: Tropical storm gusts, localized urban flooding, and rough seas.

Trudy achieved maximum sustained winds of approximately 65 km/h (35 kt / 40 mph) and a minimum central pressure of approximately 1005 hPa.

Multiple numerical weather prediction models project Trudy to continue along its predicted track. Check the interactive map above for updated path and uncertainty cone.

According to current forecasts, Trudy is expected to pass approximately 257 km from Acapulco, presenting a moderate risk of wind and rain impacts.

Based on current forecast models, Trudy is expected to begin affecting Acapulco or pass closest around October 16, 2026 at 06:00 PM. Please continue monitoring official updates and prepare accordingly.

Projected rainfall totals of approximately 50-150 mm (2-6 inches) may occur in affected areas, creating risks of flash flooding and urban flooding.

Yes. Tropical systems carry abundant moisture, and outer rainbands can trigger flash flooding, river flooding, and urban flooding.

Adjust preparations based on the storm category and official advice. Secure outdoor items, prepare emergency supplies, keep backup power available, and follow official advisories.

Evacuation decisions must strictly follow official directives issued by local emergency management agencies. If an evacuation order is issued, evacuate immediately using designated routes. Do not rely solely on a single forecast model.

StormAtlas regularly updates based on publicly available data from international meteorological agencies. The latest data update was at October 13, 2026 at 10:12 PM.

Trudy developed over warm ocean waters under conditions of high atmospheric moisture and low vertical wind shear.

The forecast path integrates data from multiple international meteorological agencies and numerical weather prediction models (such as NHC, JMA, JTWC, and CMA) using ensemble forecasting methods to generate probabilistic forecast tracks.