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Google’s Chrome Tech Powers the UN’s Early Warning System

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When disasters strike, quick action can save lives. Google is playing a growing role in helping the United Nations, governments, and humanitarian groups prepare for, respond to, and recover from crises. Its tools span from predicting natural hazards to delivering real-time alerts and speeding up post-disaster aid.

In the 2025 hurricane season, Google’s WeatherNext model helped forecast Hurricane Melissa’s path to Jamaica five days ahead of time. This allowed local authorities to warn the public before the storm hit. Similarly, in Nigeria, the UN used Google’s river flood forecasts to launch anticipatory programs, giving families time to evacuate and protect their homes. These forecasts are part of Flood Hub, which monitors over 2 billion people in more than 150 countries.

Google is also advancing how local data improves AI predictions. A new pilot with the World Meteorological Organization (WMO) and agencies in Czechia, Nigeria, Uruguay, and Vietnam tests if adding local river data boosts forecast accuracy. Early results show that combining global AI with regional knowledge works better, especially in areas without many sensors. Google has open-sourced tools like the Groundsource dataset for urban flash floods and a hydrology modeling framework to help experts build better systems while keeping their data private.

For wildfires, Google uses satellite imaging and has supported the development of FireSat, a constellation designed to detect fires faster. Three FireSat satellites recently launched to improve global monitoring.

When disasters strike, getting timely alerts to people is crucial. In 2025 alone, Google connected users with crisis info over 10 million times per day. Its Public Alerts system shares warnings from authorities in over 90 countries through Search, Maps, and Android notifications. During a recent earthquake in Venezuela, Google’s Android-based earthquake alert system warned millions of people outside the epicenter, letting them take cover before shaking began.

After a disaster, knowing what was damaged helps relief efforts. Google worked with the UN to create DISHA, an AI-powered tool that analyzes satellite images to map and score building damage. It was used after Hurricane Melissa in Jamaica, assessing over 385,000 structures quickly, and again in Colombia after floods. These tools help governments and aid groups act faster when every minute counts.

By combining AI, satellite data, and deep partnerships, Google is helping build a more resilient world—one where technology supports people before, during, and after disasters.

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