Organised by MFC CDT and iMPT
Dates: 
2nd – 5th June 2026
Mode of Delivery: Online via Zoom, with possible hybrid sessions on 5th June. Further details will be shared with registered participants by Wednesday, 28 May.

RSVP by: Tuesday, 27 May 2026. Please note that registration is compulsory but free of charge. 
Registration link

 Overview

This Summer School, jointly organised by the EPSRC MFC CDT and iMPT, aims to bring together experts from different fields to explore the methodological and practical aspects of uncertainty quantification in climate data, models, and simulations.

Topics covered will include, but are not limited to:

  • Uncertainty quantification methodology
  • Data assimilation
  • Statistical modelling of extreme events
  • Characterising and modelling uncertainties in observational data
  • Integrating machine learning tools into climate simulations

Acknowledgements
We would like to thank the organisers of the workshop on Uncertainty Quantification for Climate Science (November 2025) for scientific advice and support.

Speakers and Topics

Eric Blayo,  Université Grenoble Alpes

Title: An introduction to data assimilation

Josselin Garnier,  École Polytechnique

Title: An introduction to uncertainty quantification

Elizabeth Carlson, Oregon State University

Title: TBA


Schedule:
The tentative schedule is as follows. The talks on Friday, 5th June will be held in a hybrid format, potentially running from 14:00 to 17:00.

Time Tuesday, 2 June 2026 Wednesday, 3 June 2026
09.00 – 10:30 Josselin Garnier Josselin Garnier
10:30 – 11:00 Break Break
11:00 – 12:30 Eric Blayo Eric Blayo
Time Thursday, 4 June 2026
14.00 – 15:30 Elizabeth Carlson,
15.30 – 16:00 Break
16:30 – 17:30 Elizabeth Carlson