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Interpretable deep learning network significantly improves tropical cyclone intensity forecast accuracy
Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...
It was only a generation or two ago that weather forecasts were not to be taken too seriously: funny-guy meteorologists on the local news wisecracking about ruined golf plans. That has long stopped ...
Google's DeepMind just released WeatherNext 2, a new version of its AI weather prediction model. The company promises that it "delivers more efficient, more accurate and higher-resolution global ...
A new deep learning approach sharpens GNSS tomography into precise atmospheric maps, revealing storm-sensitive humidity patterns and offering meteorologists a powerful tool to predict extreme weather ...
The observational track of Typhoon "Danas" (solid line) along with forecasted paths (dashed lines) depicted on the FY-4B satellite visible light imagery at 08:00 BST on July 6, 2025. The dashed lines ...
Google DeepMind, a London-based AI research lab, has been in the business of machine learning-based weather forecasting for several years, but back in June announced a new experimental AI model ...
Forbes contributors publish independent expert analyses and insights. I am a risk communicator focused on the impact of weather on business. Jul 15, 2025, 08:30am EDT The combination of AI, advanced ...
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