This five-day course is mainly practical based and will draw on numerical weather prediction expertise from across ECMWF and provide an overview of the ECMWF model while giving hands-on sessions to give you confidence to carry out your own experimentation with the OpenIFS model (or the IFS).
It is an opportunity to learn about: the building blocks of the NWP model (physics and dynamics); how to work with the output and input GRIB data and visualise it; technical aspects of compiling and running model code efficiently.
An example timetable is shown for the course in 2022 to give you some idea of what is covered.
- understand the core scientific and numerical elements of a NWP model
- be able to install, modify and work with the model
- conduct experiments using a extreme weather example and manipulate model output.
Practical sessions will be run in Jupyter Hub / environment; no coding experience is assumed but is an advantage.
A familiarity with the Unix/Linux environment will help with the practical sessions.
All lectures will be given in English.