Google is expanding its AI-driven crisis response tools to improve global natural disaster forecasting, aiming to ensure no community is blindsided by extreme weather. The initiative focuses on three primary hazards: floods, wildfires, and extreme heat. For flood management, the company's Flood Hub now provides forecasts for 2 billion people across more than 150 countries. River flood predictions are available up to seven days in advance, while new AI-based flash flood models offer up to 24-hour advance notice in urban environments. This progress builds on the Groundsource methodology, which utilized 20 years of public data to improve prediction accuracy in data-scarce regions.

In wildfire monitoring, Google provides AI-powered boundary tracking in Search and Maps across 34 countries. The company is currently developing FireSat, a specialized satellite constellation co-created with the Earth Fire Alliance and Muon Space. Designed to detect wildfires as small as 5 x 5 meters, the system intends to provide updates every 20 minutes once fully deployed. Additionally, the WeatherNext 2 model has demonstrated high-confidence cyclone intensity and path forecasting, including predicting the path of the 2025 Hurricane Melissa five days before landfall in Jamaica.

Beyond forecasting, Google integrates these datasets into the Google Earth AI collection to support planetary intelligence and urban heat mitigation. The company also maintains active crisis alerts, reaching users over 10 million times per day on average last year. These tools include the Android Earthquake Alerts System, which warns users before ground shaking begins, and heat alerts currently operational in over 100 countries. These systems integrate official data from authorities in over 90 nations to provide actionable warnings that help organizations like GiveDirectly and the International Rescue Committee coordinate evacuations and distribute emergency relief funds.

Google is expanding its AI-driven crisis response tools to improve global natural disaster forecasting, aiming to ensure no community is blindsided by extreme weather. The initiative focuses on three primary hazards: floods, wildfires, and extreme heat. For flood management, the company's Flood Hub now provides forecasts for 2 billion people across more than 150 countries. River flood predictions are available up to seven days in advance, while new AI-based flash flood models offer up to 24-hour advance notice in urban environments. This progress builds on the Groundsource methodology, which utilized 20 years of public data to improve prediction accuracy in data-scarce regions.

In wildfire monitoring, Google provides AI-powered boundary tracking in Search and Maps across 34 countries. The company is currently developing FireSat, a specialized satellite constellation co-created with the Earth Fire Alliance and Muon Space. Designed to detect wildfires as small as 5 x 5 meters, the system intends to provide updates every 20 minutes once fully deployed. Additionally, the WeatherNext 2 model has demonstrated high-confidence cyclone intensity and path forecasting, including predicting the path of the 2025 Hurricane Melissa five days before landfall in Jamaica.

Beyond forecasting, Google integrates these datasets into the Google Earth AI collection to support planetary intelligence and urban heat mitigation. The company also maintains active crisis alerts, reaching users over 10 million times per day on average last year. These tools include the Android Earthquake Alerts System, which warns users before ground shaking begins, and heat alerts currently operational in over 100 countries. These systems integrate official data from authorities in over 90 nations to provide actionable warnings that help organizations like GiveDirectly and the International Rescue Committee coordinate evacuations and distribute emergency relief funds.