This five-day course has a strong practical component 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.
Please refer to the timetable on the left-hand side menu for the a draft agenda of the week, we will publishe the exact timetable closer to the training date.
Learning objectives:
- 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.
Requirements
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.
This course will cover the building blocks of ECMWF's IFS, and therefore a software licence with your institution/affiliation will be required.
It is mandatroy to have an ECMWF User-ID before the training starts, please find more information on how to create one here.
All lectures will be given in English.