| DAY |
TIME |
SESSION |
AUTHOR |
TITLE |
| 02/12/2025 |
Chair: Blanchet Juliette |
| 14:20-15:00 |
Keynote 1/4 |
Peleg Nadav |
Integrating physics into stochastic weather generators for extreme rainfall assessment |
| 15:00-15:20 |
SWG developpement 1/2 |
Métivier David |
Coding Stochastic Weather Generators: Challenges and Perspectives |
| 15:20-15:40 |
SWG developpement 2/2 |
Allard Denis |
Modeling and simulating spatio-temporal, multivariate and nonstationary Gaussian Random Fields: a Gaussian mixtures perspective |
| Chair: Opitz Thomas |
| 16:20-16:40 |
Multivariate SWG 1/2 |
Obakrim Said |
MSTWeatherGen: a multivariate and space-time stochastic weather generator |
| 16:40-17:00 |
SWG and extremes 1/2 |
Goffinet Roxane |
Aggregation of GEV Parameters with varying components using EWA/EG algorithms |
| 17:00-17:20 |
SWG and extremes 2/2 |
Megret Maud |
Stochastic generator of glacial trajectories from moraines data |
| 03/12/2025 |
Chair: Vrac Mathieu |
| 9:30-10:10 |
Keynote 2/4 |
Hess Philip |
Generative machine learning for downscaling Earth system model simulations |
| 10:10-10:30 |
Machine learning based SWG 1/4 |
Bhavsar Ferdinand |
Deep Generative Models for hydrological time-series simulations |
| 10:30-10:50 |
Machine learning based SWG 2/4 |
Launeau Violette |
Emulating climate variability and extremes with a diffusion-based model trained on CESM2 and finetuned on ERA5 |
| Chair: Legrand Juliette |
| 11:30-11:50 |
Machine learning based SWG 3/4 |
Tiziano Fassina |
Extreme Rain Generation Modeling using Score-Based Generative Models |
| 11:50-12:10 |
Machine learning based SWG 4/4 |
Legasa Mikel |
Stochastic Emulation of Regional Climate Models with Diffusion Models: Assessing the Added Value |
| 12:10-12:30 |
Multivariate SWG 2/2 |
Wider Jonathan |
UNSEEN Analog Weather Generators |
| Chair: Bel Liliane |
| 13:40-14:20 |
Keynote 3/4 |
Parey Sylvie |
Stochastic Weather Generators development and use at EDF-R&D |
| 14:20-14:40 |
Stochastic simulation of precipitation 1/7 |
Serre-Combe Chloé |
A stochastic generator for high-resolution spatio-temporal extreme rainfall |
| 14:40-15:00 |
Stochastic simulation of precipitation 2/7 |
Molina Jose-Luis |
Bayesian Stochastic Rainfall Generator (BSRG): Rainfall Forecasting through Bayesian Causal Modelling |
| 15:00-15:20 |
Stochastic simulation of precipitation 3/7 |
Paquet Emmanuel |
France-wide application of the RAINSIM rainfield stochastic generator |
| Chair: Toulemonde Gwladys |
| 16:00-16:20 |
Stochastic simulation of precipitation 4/7 |
Cognot Caroline |
Spatio-temporal generation of precipitations using a hidden Markov Model with correlated emissions |
| 16:20-16:40 |
Stochastic simulation of precipitation 5/7 |
Baxevani Anastassia |
Spatiotemporal reconstruction of precipitation fields using the effective distribution methodology with compound Poisson gamma marginals |
| 16:40-17:00 |
Stochastic simulation of precipitation 6/7 |
Benoit Lionel |
Stochastic rainfall generation over complex topography |
| 17:00-17:20 |
Stochastic simulation of precipitation 7/7 |
Doizé Antoine |
Stochastic Rainfall Occurrence Generator with Long Periods of Drought |
| 04/12/2025 |
Chair: Paquet Emmanuel |
| 9:30-10:10 |
Keynote 4/4 |
Brunner Manuela |
Stochastic streamflow simulation for studying spatially compounding extreme events |
| 10:10-10:30 |
SWG for hydrological applications 1/5 |
Nguyen Viet Dung |
A Climate-Informed Regional Weather Generator for Exploring Hydrological Extremes in a Changing Climate |
| 10:30-10:50 |
SWG for hydrological applications 2/5 |
Guillemin Perrine |
Estimation of hydrological extremes with rainfall-runoff stochastic simulation. Application to the Loire catchment in current climate. |
| Chair: Benoit Lionel |
| 11:30-11:50 |
SWG for hydrological applications 3/5 |
Leblois Etienne |
SimABC - Simulation of Atmospheric inputs to Basins respecting Climate - General layout and application to rio Balsas (Mexico) |
| 11:50-12:10 |
SWG for hydrological applications 4/5 |
Vohnicky Petr |
Stochastic Weather Generation at High Spatial Resolution Informed by Convection-Permitting Modeling |
| 12:10-12:30 |
SWG for hydrological applications 5/5 |
Vischel Théo |
How Stochastic Storm Simulation Contributes to Flood Risk Adaptation Strategies in the Sahel |
| Chair: Allard Denis |
| 13:40-14:20 |
Stochastic simulation of temperature 1/3 |
Blanchet Juliette |
A space-time simulator of daily temperature designed for mountain climatology |
| 14:20-14:40 |
Stochastic simulation of temperature 2/3 |
Leterrier Laurie |
Modeling Earth-surface temperature extremes with physics-informed upper bounds for simulating worst possible cases |
| 14:40-15:00 |
Stochastic simulation of temperature 3/3 |
Sezen Cenk |
Temperature data generation using quantile regression forests for different climate characteristics in Türkiye |
| 15:00-15:20 |
Applications of SWG 1/2 |
Dell'oro Lorenzo |
Spatially coherent generation of low, moderate and extreme Fire Weather Index in Portugal |
| 15:20-15:40 |
Applications of SWG 2/2 |
Opitz Thomas |
Stochastic generators for spatial fields of ecoclimatic agricultural indicators in France |
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