A startup called WindBorne Systems has developed an AI weather forecasting tool, WeatherMesh-6, which outperforms predictions by leading government agencies like the European Centre for Medium-Range Weather Forecasts. The system offers more frequent updates, higher resolution, and greater accuracy, leveraging data from hundreds of weather balloons launched globally. This advancement highlights the growing potential of AI in improving weather predictions over traditional methods.

WindBorne Systems, a startup founded by Stanford students in 2019, has released WeatherMesh-6, an AI weather model the company says outperforms the European Centre for Medium-Range Weather Forecasts on accuracy for key variables like surface temperature. The model generates hourly forecasts at 3-km resolution in Europe and the continental U.S., and is reportedly as accurate five days out as traditional forecasts are one day ahead. WindBorne attributes its edge to a proprietary data advantage from roughly 400 weather balloons in flight whose sensor readings are fed directly into its models.