Training course: A hands-on introduction to Numerical Weather Prediction Models: Understanding and Experimenting

ECMWF | Reading | 13-17 November 2023

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.

Learning objectives:

  1. understand the core scientific and numerical elements of a NWP model
  2. be able to install, modify and work with the model
  3. 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.

All lectures will be given in English.

13 November (09:00)- 17 November (17:00)


Location: Reading (UK)


Course format: In-person only


Course code: NWP-HO


Course fee: £923

A course fee is payable by participants who do not reside in an ECMWF Member or Co-operating State.

More information about our fees


Registration opening date: 27 March 2023