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Can AI help weather forecasting save lives?
- Hurricane Otis, a Category 5 storm, made landfall on Mexico's Pacific coast on October 25, 2023, after accelerating from a tropical storm just 24 hours prior; the event resulted in at least 48 deaths and billions of dollars in damage, highlighting failures in existing forecasting models.
- Extreme weather events have caused over 2 million deaths globally in the last 50 years, with projections indicating an increase in floods and droughts due to a warming climate.
- A critical disparity exists between the Global North and Global South, where underfunding has led to a decline in weather station infrastructure and an inability to retain human resources in developing nations.
- While weather satellites provide broad climatic data, current models suffer from insufficient resolution and an inability to penetrate cloud cover, making ground-based observations essential for detailed forecasting.
- Disruptive technologies are addressing these gaps, including Tomorrow.io's initiative to deploy affordable radar-equipped satellites capable of seeing through clouds.
- Private sector AI models, such as those from Google DeepMind, Nvidia, and Huawei, are achieving weather forecasting accuracy and speed comparable to or exceeding major international institutions.
- Uganda has leased an AI-based forecasting computer from the American startup Atmo, a move driven by the system's low cost and its ability to predict weather for an entire country.
- The World Bank estimates that improving weather forecasts and early warning systems could generate $162 billion in annual benefits and save an estimated 23,000 lives per year.
- Agricultural adaptation efforts are already underway; in Kenya, a collaboration between the Bill and Melinda Gates Foundation, Tomorrow Now, and the government delivers AI-processed weather advice via text message to smallholder farmers.
- Despite 75% of the global population owning mobile phones, only about half of all countries currently have functional disaster warning systems.
- Experts emphasize that AI and satellite data are complementary to, rather than replacements for, conventional numerical weather forecasting and ground-based observations.
- The narrative concludes that while disaster risk will rise due to climate volatility, accurate prediction and dissemination of information can prevent fatalities from rising in lockstep with weather severity.