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Numerical Weather Prediction
Introduction to Numerical Weather PredictionWhy it is worth to make a weather forecast, the basic idea behind NWP, how to use observations, introduction to the advection problem differentiating spatial discretization methods.

Andreas Mueller (Andreas.mueller (at) - ECMWF

Dr. Andreas Mueller is a scientist in the numerical methods group at the European Centre for Medium-Range Weather Forecasts (ECMWF). After his MSc in physics he developed a computer model for the simulation of atmospheric moist convection that allowed to use adaptive mesh refinement. He finished his PhD in the group of Prof. Volkmar Wirth at the University of Mainz in Germany in 2012. After finishing his PhD he was a visiting fellow in the program "Multiscale Numerics for the Atmosphere and Ocean" at the Isaac Newton Institute for Mathematical Sciences in Cambridge, UK. In 2012, he received a four year grant by the National Research Council in Washington DC to work on optimizing the atmospheric model NUMA in the group of Prof. Francis X. Giraldo at the Naval Postgraduate School. Andreas moved to ECMWF in 2016 where he is working in the ESCAPE project on developing energy efficient scalable algorithms for weather prediction at exascale

Introduction to MPDATAAdvection problem, analytical solution, MPDATA dwarfDr Zbigniew Piotrowski (zbigniew.piotrowski (at) - PSNC/IMGW 
High Performance Computing
Introduction to HPCOverview on HPC from historic perspective, various code optimisation techniques, different code efficiency estimationMichał Kulczewski ( ) - PSNC
Performance ModellingAdvanced modelling performance of the application, differences between compute-bound and memory-bound applications, basic usage of hardware performance counters, roofline modelMiłosz Ciżnicki (miloszc (at) - PSNC