Physics-informed neural networks for high-resolution weather reconstruction from sparse weather stations

The article discusses the growing impact of artificial intelligence (AI), focusing on one application: weather reconstruction. AI, particularly neural networks, is used to improve the accuracy and availability of weather data, which has broad implications, such as reducing airport delays and related costs. Traditional weather stations only provide data from limited locations, so AI helpsContinue reading “Physics-informed neural networks for high-resolution weather reconstruction from sparse weather stations”

PERSEVERE project will attend the APS DFD Annual Meeting

The PERSEVERE project, an MSCA postdoctoral fellowship awarded to Álvaro Moreno, a member of our research group, will participate in the APS 76th Annual Meeting of the Division of Fluid Dynamics, taking place in Washington DC from November 19th to 22nd. The researcher Álvaro Moreno will deliver a compelling presentation showcasing the project’s latest findingsContinue reading “PERSEVERE project will attend the APS DFD Annual Meeting”