EuroCC@Greece announced the 13th Course of the HPC Training Series with subject “The Weather Research and Forecasting (WRF) Model on HPC”, that took place online on April 28th, 2025.

Presentation language: Greek

Audience: This course was designed for meteorologists, climate scientists, researchers, and engineers who need to run and optimize WRF models on High-Performance Computing (HPC) systems. It was also suitable for graduate students and professionals in atmospheric sciences, computational physics, and environmental modeling.

Location: Online via Zoom 

Description: This course provided an overview of the Weather Research and Forecasting (WRF) model, focusing on its application and optimization on High-Performance Computing (HPC) systems. Participants learned WRF model fundamentals, installation, configuration, execution, and performance tuning techniques specific to HPC environments.

Objectives: 

By the end of this course, participants were be able to:

  • Understand WRF model – Explain the fundamentals of Weather Research and Forecasting (WRF) model and its applications.
  • Set Up and Configure WRF – Install, configure, and run WRF model on HPC systems.
  • Optimize Performance – Apply parallel computing techniques to enhance WRF model efficiency on HPC.
  • Analyze Model Outputs – Interpret WRF simulations and validate results against observational data.
  • Troubleshoot and Debug – Identify and resolve common issues in WRF simulations on HPC platforms.

Prerequisites: 

  • Basic Meteorology Knowledge – Understanding of atmospheric processes and weather forecasting concepts.
  • Linux Proficiency – Familiarity with command-line operations and shell scripting.
  • Programming Experience – Basic knowledge of Fortran and/or C++.
  • Numerical Modeling Basics – Understanding of numerical weather prediction principles.
  • HPC Familiarity – Experience with parallel computing, job scheduling, and running applications on HPC systems is beneficial but not required.

The course’s agenda and presentation material can be found here.

Watch the event’s recordings in the dedicated playlist here.

No Tag