Geolearning Chair Scientific Day
The Geolearning chair held a scientific day at Mines Paris – PSL on April 8, 2026. All the supported projects were presented there, as well as emerging challenges.
The Geolearning chair will be represented by several researchers and doctoral students at the conference 15th International Meeting on Statistical Climatology, 15th IMSC, which will be held in Toulouse from June 24 to 28, 2024. F. Guéguéniat and G. Jacquemin were recruited by the Geolearning chair.
- F. Guéguéniat, L. Benoit, N. Desassis, T. Romary: Stochastic emulation of weather radar images time series using generative AI
- G. Jacquemin, M. Vrac, D. Allard, X. Freulon: Compound climate events: can climate simulations be improved by bias correction?
The following work, which involves researchers from the chair, also concerns the challenges of scientists from the chair:
- L. Benoit, M. Lucas, T. Giambelluca: A nonstationary geostatistical model for the stochastic interpolation of daily rain gauge observations in mountain areas
- L. Clarotto, M. Pereira, N. Desassis: Modeling CO2 concentration in the atmosphere using spatio-temporal random fields on meshed surfaces defined from advection-diffusion SPDE
- S. Obakrim, D. Allard, L. Benoit: Multivariate spatio-temporal stochastic weather generator
- L. Schmutz, S. Thao, M. Vrac, D. Allard, G. Mariethoz: Beyond Multi Model Means: Leveraging Local Model Strengths for Superior Climate Projections
- M. Vrac, D. Allard, G. Mariethoz, S. Thao, L. Schmutz: Distribution-based pooling for combination and multi-model bias correction of climate simulations
Otherwise, Denis Allard will co-host with Bo Li, University of Illinois (USA) Sessions on Statistical Methods for Spatio-Temporal Data. Conference Program and Conference Presentations are accessible on this page.
Read more articles
Conference on stochastic weather generators
The Geolearning Chair is contributing to the organization of the conference on Stochastic Weather Generators, which will be held in Grenoble from December 2nd to 4th, 2025. This international workshop aims to explore cutting-edge methods and emerging challenges for simulating weather variables: precipitation, temperatures, etc.
