#ai-weather-modeling

#ai-weather-modeling

After 21 hours of talks, US and Iran did not reach a deal to end the war, as Vice President JD Vance said talks stalled after the US made a final offer pushing for stronger guarantees that Iran won't develop nuclear weapons.

We created Earth in Action to provide a lens into what's happening on our planet, as it happens. Whether it's something typical, like the current air temperature, or an extreme event like a major dust storm, we wanted to provide an opportunity for people to see them.

When scientists applied a new model of human survivability that takes into account the body's ability to function and stay cool depending on age, they found all six events had seen non-survivable periods for older people who could not find shade.

While humans have assembled a lot of weather data, flash floods are too short-lived and localized to be measured comprehensively, the way the temperature or even river flows are monitored over time. That data gap means that deep learning models, which are increasingly capable of forecasting the weather, aren't able to predict flash floods.

Google tasked Gemini with sorting through 5 million news articles from around the world and isolating flood reports. It transformed this data into a geo-tagged series of chronological events. Next, researchers trained a model to ingest current weather forecasts and leverage the Groundsource data to determine the likelihood of a flash flood in a given area.

Weather impacts sales. Every retailer knows it. But for most, the likelihood that it might rain, snow, or sleet on the third of March somewhere in the Midwest is rarely used. Vendors such as Weather Trends have offered accurate, long-range forecasts for more than 20 years. But the opportunity is not predicting the weather; it's knowing what to do with the data. AI might change that.

If you've ever glanced at your phone's weather app to check the day's forecast or to help plan for an upcoming storm, you've probably run across a scenario where you see an outrageous forecast. It happened to me earlier this week when I noticed my app was predicting more than 13 inches of snow for the Charlotte, NC area. Not only would that be a historic storm, but it would also be fairly apocalyptic for an area where even an inch of snow is a rarity.

Wildfire prevention has traditionally relied on blunt tools, such as rigid inspection cycles and emergency power shutoffs. Now a new generation of technology start-ups is pitching a more targeted approach: using artificial intelligence to help utility companies decide what to inspectand where to intervenebefore a spark becomes a blaze. The stakes are rising. In 2025 more than 77,000 wildfires were reported in the U.S.significantly more than the past decade's averageand burned more than five million acres.