Training courses

In collaboration with the ECMWF, DARC at the University of Reading and NCEO will be offering an intensive data assimilation training course before the ECMWF’s Spring course.

• 4-7th May 2021: 4-day intensive course on advanced data-assimilation methods. This course will provide an introduction of all data-assimilation methods used in numerical weather prediction, including the latest developments. All methods will be derived from a common framework to allow a full overview of the assumptions and hence applicability of the different methods. Furthermore, participants will get the opportunity to apply data-assimilation methods to small and large numerical models, to obtain hands-on experience with the different methods and deepen understanding of their working and limitations. For those unfamiliar with data assimilation, or those who are keen to obtain a deeper understanding, this course is a solid preparation for the main ECMWF course.
• Lectures will be delivered by members of DARC including: Alberto Carrassi, Nancy Nichols, Amos Lawless, Ross Bannister, Javier Amezcua, Alison Fowler.
• This year we will be delivering an online course due to Covid restrictions on travel and meetings.
  • Applications now closed

• 10-14th May 2021: ECMWF course on data assimilation.

This training course was previously run in 2020, 2019, 2018, 2017 and 2016.

2017 course