– Google used AI-powered weather forecasting tools to predict floods up to a week in advance
– Lack of resources and data makes predicting flooding difficult, particularly in African countries
– Google’s Flood Hub platform provides forecasts for 80 countries, covering over 460 million people in flood-prone areas
Google has developed AI-powered weather forecasting tools that can predict floods up to a week in advance, providing an early warning system to help mitigate the effects of one of the most common natural disasters. By using existing data, machine learning models, and various data points such as local terrain and historical events, Google’s AI can make accurate predictions globally, even in areas where data is scarce or non-existent.
The lack of resources and data related to flood history, water levels, and terrain makes it difficult to predict riverine floods. Google’s AI technology takes advantage of streamflow gauges and other data points to make accurate flood predictions, particularly in areas where historical data is unreliable, such as many African countries. The Google team has launched a Flood Hub platform, providing access to forecasts in 20 countries and ultimately expanding to 80 countries in Africa, Asia-Pacific, Europe, and the Americas, covering over 460 million people globally.
Through their global AI-based model, Google has been able to provide more accurate information on riverine floods up to seven days in advance, improving access to flood forecasting in vulnerable communities. The team also provides forecasts through Google Search, Google Maps, and Android notifications, making the information easily accessible to those in need. The use of AI in weather forecasting has revolutionized flood prediction and mitigation efforts, offering a promising solution to a challenging and widespread natural disaster.