University of Copenhagen, Denmark - 7 - 12 August 2017Aim 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.
Programme- 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)
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
Early Stage Researchers (less than PhD + 10 year) BSc degree is the minimum requirement
Selection criteriaBackground 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 (bhs@dmi.dk). LocationCopenhagen UniversityH.C. Ørsted Institute
Detailed information on location and accommodation options will be published on this page.
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