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July 19, 2021 09:00 - July 23, 2021 17:00

Towards exascale computing for numerical weather prediction.

July 19, 2021 09:00 - July 23, 2021 17:00

Towards exascale computing for numerical weather prediction.

A joint ESCAPE-2/Fondazione Alessandro Volta summer school 

Online, 19-23 July 2021


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.



  • Block 1: Computational methods in numerical weather prediction
  • Block 2: Uncertainty Quantification
  • Block 3: High-performance parallel computing tools
  • Block 4: Domain-specific language applications 
  • Hands-on training: exercises and mini-projects in small groups, partially guided by instructors.
The programme is available here.

Local organizing committee

  • Tommaso Benacchio, Politecnico di Milano, Italy
  • Luca Bonaventura, Politecnico di Milano, Italy

Target audience: 

  • Graduate students (final-year MSc and PhD), postdocs 

Selection criteria - 25 maximum participants

  • Background on weather and climate modelling & high performance computing 
  • Motivation letter 
  • Other skills (e.g. programming, etc.)
  • CV & publication list 
Application Deadline: 15 May 2021 New Deadline: 15 June 2021
  • Language: English 
  • Costs: free
  • ESCAPE-2 is committed to promoting diversity in science and technology. Applications from underrepresented categories are especially welcome.

Application form is available here.

For more information, contact Alessandra Cazzaniga, email: alessandra(dot)cazzaniga(at)fondazionealessandrovolta(dot)it .