A joint ESCAPE-2/Fondazione Alessandro Volta summer school
Online, 19-23 July 2021
Scope
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.
