A team of experts in NOAA Research, the National Weather Service (NWS), and the Earth Prediction Innovation Center (EPIC) have recently unveiled Project EAGLE, a new experimental environment engineered to rapidly test and demonstrate Artificial Intelligence (AI) weather models in near-real time.
Project EAGLE, stands for Experimental AI Global and Limited-area Ensemble forecast system, is a significant advancement in NOAA’s AI weather prediction innovation capabilities.
Traditional weather models require years of development and depends heavily on expensive supercomputing resources. Alternatively, AI models offer significantly shorter development time and greatly-reduced computing cost. However, before being integrated into a weather prediction system, AI models need to be tested thoroughly to see if they are skillful or need more training to get there.
Project EAGLE, once fully developed, will serve as the fundamental platform and infrastructure for researchers both within NOAA and across the broader weather enterprise to run, test, and demonstrate their AI weather prediction models against established NOAA forecasting systems in real time.
Read more: AI innovations: Q&A with PSL’s Sergey Frolov on NOAA’s Project EAGLE
