NEWS! Because of the COVID-19 outbreak in Italy, the school has been cancelled and will be rescheduled in 2021.
New dates will be announced soon!
Towards exascale computing for numerical weather prediction
A joint ESCAPE-2/Fondazione Alessandro Volta summer school
Accurate numerical weather prediction relies on massively parallel computing resources and models that can efficiently harness that computational power. As high-performance computing architectures approach the exascale (1018 floating-point operations per second), forecast models are undergoing significant scientific and technological change in order to run at finer and finer resolution within tight operational constraints.
The school aims to introduce students to computational tools currently used in operations and research on weather forecast models, including numerical algorithms, uncertainty quantification models, and high-performance computing tools. Theoretical lectures will be complemented by hands-on training where the students will develop small group projects using the techniques presented in the course.
Tommaso Benacchio, Politecnico di Milano, Italy
Luca Bonaventura, Politecnico di Milano, Italy