Workshop - May 27, 2026

Learning Spatio-Temporal Climate Extremes

A one-day workshop at UCLouvain bringing together researchers from statistics and climate to discuss recent methodological advances and open challenges in modelling spatial and temporal patterns of climate extremes.

Workshop poster for Learning Spatio-Temporal Climate Extremes

Practical Information

  • Location Aula Magna (Foyer Royal), Louvain-la-Neuve
  • Address Place Raymond Lemaire 1, 1348 Louvain‑la‑Neuve
  • Contact anna.kiriliouk@uclouvain.be

We are pleased to announce the workshop "Learning Spatio-Temporal Climate Extremes" on May 27, 2026 at UCLouvain.

The workshop brings together researchers from statistics and climate to discuss recent methodological advances and open challenges in modelling spatial and temporal patterns of climate extremes.

Invited talks will be given by Sebastian Engelke (University of Geneva), Hans Van de Vyver (Royal Meteorological Institute of Belgium), Ben Youngman (University of Exeter), Melinda Galfi (VU Amsterdam), Daniela Castro-Camilo (University of Glasgow), and Alexis Boulin (Ruhr University Bochum).

The full program, including abstracts, can be found here. Slides are available from the schedule below.

Schedule

Time Speaker Talk title
09:00 - Welcome
09:10 Sebastian Engelke (University of Geneva) AI weather forecasting: assessing extrapolation and physical consistency
09:50 Hans Van de Vyver (Royal Meteorological Institute of Belgium) Beyond the observed: a stochastic simulation approach for impact-based storylines
10:30 - Coffee break
11:00 Ben Youngman (University of Exeter) Extreme value models for environmental data
11:40 Melinda Galfi (VU Amsterdam) A large-deviation view on persistent extremes
12:20 - Lunch
13:50 Alexandre Tytgat (UCLouvain) Detecting regional changes in Antarctic sea ice extent annual minima
14:10 Paolo Besana (UCLouvain) Bayesian POT analysis of drought extremes: quantifying the impact of drought index definition
14:30 Kamal Gasser (UCLouvain) A spatio-temporal statistical framework for heatwave attribution under climate change
14:50 Robert Paulus (UCLouvain) Adaptive regionalization for extreme precipitation: a neural network-weighted independence likelihood approach
15:10 - Coffee break
15:40 Daniela Castro-Camilo (University of Glasgow) Attributing changes in extreme events: a causal approach to the tails
16:20 Alexis Boulin (Ruhr University Bochum) Linear factor models for tail dependence in high dimensions with applications to wind turbine cut-in risk
17:00 - 18:30 - Wrap-up & drinks