Media hub‎ > ‎ESCAPE events‎ > ‎

ESCAPE Young Scientist Summer School (YSSS)

University of Copenhagen, Denmark - 7 - 12 August 2017


This YSSS will introduce young generation of researchers in numerical weather prediction, ocean, climate relevant topics as well as modern computational physics & energy efficient computing. During the school, the pa
rticipants will get familiar with ESCAPE dwarfs – fundamental algorithmic building block – and recognize why HPC and energy‐efficient computations are important. The programme will include theoretical lecture material as well as practical exercises (to be realized by students as small‐scale research projects started from the 1st day of the school with defence of project results) on selected dwarfs.


  • Block 1. Fundamentals of atmospheric processes and modelling
  • Block 2. Numerics, assimilation, evaluation and verification
  • Block 3. ESCAPE dwarfs
  • Block 4. Hardware, benchmarking, diagnostic tools for code development and improvement
  • Practical Exercises as Small‐Scale Research Projects (SSRP) on selected ESCAPE dwarfs to be realized by groups of students led by teachers (designers of the dwarf)
The full programme is available in the Summer School Booklet.

Lecture Material

 Lecturer Title 
Peter Bauer, ECMWF L1. Introduction to ESCAPE project
Eigil Kaas, UCPH L2. Numerical weather prediction and specific challenges
Jens Hesselbjerg Christensen, UCPH L3. Climate modelling and specific challenges
Jun She, DMI L4. European ocean modelling and specific challenges
Andrzej Wyszogrodzki, PSNC L5. Atmospheric boundary layer, dispersion, removal and physiography 
Eigil Kaas, UCPH L6. Numerical methods & data assimilation 
Bent H. Sass, DMI L7. Verification and quality assurance of numerical weather prediction systems
Daan Degrauwe, RMI L8. Dwarf – Spherical harmonics & bi-Fourier
Zbigniew Piotrowski, PSNC L9. Dwarf – ADVECTION  
Andrzej Wyszogrodzki, PSNC L10. Dwarf – ELIPTIC SOLVER
Kristian P. Nielsen, DMI L11. Dwarf – ACRANEB2
Oisin Robinson, ICHEC L12. Dwarf – LAITRI  ( LAgrangian Interpolation TRI-linear) Optimization of IFS subroutine LAITRI on Intel Knights landing
Jacob W. Poulsen, Per Berg, DMI L13. Hardware, architecture, paradigms, optimization – Part 1: Tuning Implementation of the Dwarf
Jacob W. Poulsen, Per Berg, DMI L14. Hardware, architecture, paradigms, optimization – Part 2: Tuning Implementation of the Dwarf
Brian Vinter, UCPH L15. Hardware, architecture, paradigms, optimization – Part 3: Low Power and High Performance Processing with FPGAs
Andreas Mueller, ECMWF L16. Tools for benchmarking & diagnostics – Part 1: High performance computing and benchmarking for NWP
Alastair McKinstry, ICHEC L17. Tools for benchmarking & diagnostics – Part 2: Use of Domain-Specific languages for NWP
Alastair McKinstry, ICHEC L18. Tools for benchmarking & diagnostics – Part 3: Strategies for OpenMP and OpenACC
Andreas Mueller, ECMWF L19. ESCAPE Future challenges & new dwarfs

Organizing Committee

Eigil Kaas, University of Copenhagen, Denmark
Brian Vinter, University of Copenhagen, Denmark
Bent Sass, Danish Meteorological Institute, Denmark
Alexander Mahura, Danish Meteorological Institute, Denmark/ University of Helsinki, Finland
Michal Kulczewski, Poznan Supercomputing and Networking Center, Poland
Andrzej Wyszogrodzki, Poznan Supercomputing and Networking Center, Poland
Peter Bauer, European Centre for Medium‐Range Weather Forecasts, UK
Daniel Thiemert, European Centre for Medium‐Range Weather Forecasts, UK

Target audience

Early Stage Researchers (less than PhD + 10 year)
BSc degree is the minimum requirement

Selection criteria

Background on weather and climate modelling & high performance computing
Motivation letter
Other skills (e.g. programming, etc.)
CV & publication list

Registration Deadline (extended): 31st March 2017 1st May 2017
Language: English
Costs: No Fee

Please send your application package (application form, motivation letter, CV & Publication lists) to: Bent Sass (


Copenhagen University

Detailed information on location and accommodation options will be published on this page.