Guest: Dr. Stephan Rasp, Senior Research Scientist at Google
As technology continues to improve, weather models are becoming increasingly more accurate in the short term due to increased computing power and increased resolution. But how can we quantify that increase in accuracy? It seems like a basic question, but one that isn’t so easy to answer....without the assistance of machine learning!. Joining us today is Stephan Rasp, to talk about WeatherBench, an open-source framework that aims to help answer the questions on weather model accuracy.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
D'autres épisodes de "Weather Geeks"
Ne ratez aucun épisode de “Weather Geeks” et abonnez-vous gratuitement à ce podcast dans l'application GetPodcast.