Hurricane Polo: Detailed Forecasts for Mexican Coast and Flood Risks

Strong winds have already swept through the Baja California peninsula, heralding the imminent arrival of Hurricane Polo, a tropical system bolstered by El Niño's abnormal conditions. According to ECMWF models, the cyclone is expected to make landfall on Mexico's Pacific coast within 48 hours, with a high risk of property damage and flooding in coastal cities.

Hurricane Polo: Trajectory, Intensity, and Threatened Areas

Latest simulations from the predictive model GraphCast, which combines a neural network with Copernicus satellite data, indicate a trajectory that hugs the Baja California peninsula before moving up along the coasts of Sinaloa and Nayarit. The hurricane is advancing at an average speed of 15 km/h, leaving little time for local authorities to organize mass evacuations. Winds, already described as 'very strong' by Météo France, are expected to reach gusts exceeding 120 km/h according to ECMWF forecasts, although the exact figure is not yet confirmed.

In addition to wind, models predict accumulated precipitation of 200 to 300 mm in the most exposed areas, with an intensity peak expected for Friday evening. The basins of the Río Grande de Santiago river are particularly vulnerable, as saturated soils will no longer be able to absorb excess water, increasing the risk of sudden overflows.

Strengthening Mechanisms: Role of El Niño and Satellite Data

El Niño, an ocean-atmospheric phenomenon characterized by abnormal warming of waters in the equatorial Pacific, provides additional energy to Polo. Sea surface temperatures above 29°C, recorded by Copernicus' Sentinel-3 satellites, fuel convection and intensify the cyclone's central low pressure. This additional heat allows the hurricane to draw more moisture, increasing the potential for extreme precipitation.

Neural networks in the GraphCast model integrate these observations in real-time, enhancing its ability to anticipate rapid changes in intensity. Unlike traditional models, which rely on differential equations, the AI model exploits historical patterns to reduce prediction uncertainty, especially during phases of rapid intensification. Thus, today's forecasts benefit from a narrower margin of error, although uncertainty remains inherent to tropical phenomena.

Expected Consequences: Winds, Rains, Floods, and Safety Measures

Mexican authorities have declared a state of emergency in coastal municipalities of Mazatlán, Puerto Vallarta, and Manzanillo. Civil protection services recommend securing loose objects, securing windows, and preparing emergency kits containing bottled water, flashlights, and medication. Electrical networks are already being secured...