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Mon. 26 | Tue. 27 | Wed. 28 |
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
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21:00
22:00
23:00
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13:30 - 14:00 (30min)
Opening of the workshop
On-site registration
14:00 - 14:15 (15min)
Introduction of the workshop
![]() Mathieu Vrac
14:15 - 15:00 (45min)
Keynote 1: Uni- and multivariate bias correction methods for hydrological simulations: Trade-offs between complexity and performance
![]() Invited speaker : Faranak Tootoonchi Swedish University of Agricultural Sciences - SLU
15:00 - 15:50 (50min)
Climate / Impacts / Intercomparaison
![]() Mathieu Vrac
› Bias correction of long-term climate projections over the French overseas territories – Case study of Mayotte
- Loïs Pourchet, Météo-France
15:00-15:25 (25min)
› BADJAM Assessing the impact on crop modelling of multi- and uni-variate climate model bias adjustments
- Stefano Galmarini, Joint Research Center, Ispra, Italy
15:25-15:50 (25min)
15:50 - 16:20 (30min)
Coffee break
![]() 16:20 - 18:00 (1h40)
Climate / Impacts / Intercomparaison
![]() Mathieu Vrac
› Assessing multivariate bias corrections of climate simulations on various impact models under climate change
- Denis Allard, INRAE
16:20-16:45 (25min)
› How does the choice of bias adjustment strategy affect ensemble projections of high-flows?
- Paul C. Astagneau, WSL Institute for Snow and Avalanche Research SLF [Davos], Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland, Climate Change, Extremes and Natural Hazards in Alpine Regions Research Center CERC, Davos Dorf, Switzerland
16:45-17:10 (25min)
› High-Resolution Downscaled CMIP6 Projections of Key Climate Variables for Senegal: Implications for Future Climate Scenarios
- Asse Mbengue, National Agency for Civil Aviation and Meteorology
17:10-17:35 (25min)
› Intercomparison of bias-adjustment methods for estimating multivariate heat stress conditions in southern South America
- Ana Casanueva, Dept. Matemática Aplicada y Ciencias de la Computación, Universidad de Cantabria, Santander, España - Grupo de Meteorología y Computación, Unidad Asociada al CSIC, Santander, Spain
17:35-18:00 (25min)
18:30 - 21:00 (2h30)
Ice-breaker cocktail
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9:30 - 9:45 (15min)
Introduction of the day
![]() Mathieu Vrac
9:45 - 10:30 (45min)
Keynote 2 : Boundary Corrected Regional Climate Modelling - Can corrections address the Curse of Dimensionality?
![]() Invited speaker : Ashish Sharma, University of New South Wales
10:30 - 10:55 (25min)
Stats / Multivariate / Spatial / Temporal
![]() Henning Rust
› Bias correction of hourly data from a kilometric scale regional model
- Emilia Sanchez-Gomez, Météo-France
10:30-10:55 (25min)
10:55 - 11:15 (20min)
Coffee break
![]() 11:15 - 12:30 (1h15)
Stats / Multivariate / Spatial / Temporal
![]() Henning Rust
› Seasonal bias-correction of daily precipitation over France using a stitch model designed for robust extremes representation
- Philippe EAR, Hydroclimat, Laboratoire Jean Alexandre Dieudonné
11:15-11:40 (25min)
› Distribution-based pooling for combination and multi-model bias correction of climate simulations
- Mathieu Vrac, Laboratoire des Sciences du Climat et de l'Environnement
11:40-12:05 (25min)
› What is Expected for the (non-) Extremes of a Bias Correction ?
- Yoann Robin, Extrèmes : Statistiques, Impacts et Régionalisation, LSCE
12:05-12:30 (25min)
12:30 - 13:45 (1h15)
Lunch
![]() 13:45 - 14:35 (50min)
Stats / Multivariate / Spatial / Temporal
![]() Henning Rust
› Ensuring spatial consistency in multivariate bias correction for climate projections with hierarchical vine copulas
- Theresa Meier, University of Applied Sciences and Arts Western Switzerland (HES-SO), Geneva, Faculty of Business and Economics (HEC), University of Lausanne, Expertise Center for Climate Extremes (ECCE), Faculty of Business and Economics (HEC) - Faculty of Geosciences and Environment, University of Lausanne
13:45-14:10 (25min)
› A Multivariate Graph Cut Framework for Combining Global Climate Models
- Lucas Schmutz, Institute of Earth Surface Dynamics (GAIA lab), University of Lausanne
14:10-14:35 (25min)
14:35 - 15:25 (50min)
Extremes
![]() Denis Allard
› Improving the bias correction of temperature extreme quantiles
- Sylvie Parey, Electricité de France
14:35-15:00 (25min)
› Influence of bias correction methods on compound events simulations
- Grégoire Jacquemin, Mines Paris
15:00-15:25 (25min)
15:25 - 16:25 (1h)
Poster Session + Coffee break
![]() 16:25 - 17:15 (50min)
Extremes
![]() Denis Allard
› Aggregating the tail distributions in multi-model ensemble outputs for bias correction
- Emilia Siviero, Dipartimento di Scienze Ambientali, Informatica e Statistica [Venezia]
16:25-16:50 (25min)
› Can bias correction improve the transferability of machine learning approaches from reanalysis to climate models data? –An application for tropical cyclone tracking–
- Pradeebane Vaittinada Ayar, Laboratoire des Sciences du Climat et de l'Environnement (LSCE)
16:50-17:15 (25min)
17:15 - 18:00 (45min)
Keynote 3 : Bridging the Gap: Correcting Simulation Biases via Generative Distribution Matching
![]() Zhong Yi Wan, Google Research
20:45 - 23:15 (2h30)
Dinner Cruise on the Seine River
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9:30 - 9:45 (15min)
Introduction of the day
![]() Mathieu Vrac
9:45 - 10:30 (45min)
Keynote 4 : Empirical run-time bias corrections in an atmospheric GCM
![]() Gerhard Krinner, Institute of Environmental Geosciences - CNRS
10:30 - 10:55 (25min)
Climate Models / Forecasts / Ensemble / Tools
![]() Soulivanh Thao
› Multivariate bias correction of ensembles: preserving internal variability of multivariate properties
- Bastien Francois, Royal Netherlands Meteorological Institute (KNMI), Research and Development Weather and Climate (RDWK)
10:30-10:55 (25min)
10:55 - 11:15 (20min)
Coffee break
![]() 11:15 - 12:30 (1h15)
Climate Models / Forecasts / Ensemble / Tools
![]() Soulivanh Thao
› Re-calibration of decadal ensemble predictions
- Henning Rust, Freie Universität Berlin
11:15-11:40 (25min)
› Clim4health: a new R package to harmonize climate datasets for health impact studies
- Emily Ball, Barcelona Supercomputing Center (Centro Nacional de Supercomputacion)
11:40-12:05 (25min)
› Leveraging bias-corrected seasonal forecasts for agro-meteorological monitoring and crop yield forecasting
- Henin Riccardo, European Commission - Joint Research Center
12:05-12:30 (25min)
12:30 - 14:00 (1h30)
Lunch
![]() 14:00 - 15:15 (1h15)
Machine learning
![]() Grégoire Mariéthoz
› Adjusting spatial dependence of climate model outputs with cycle-consistent adversarial networks
- Bastien François, Royal Netherlands Meteorological Institute - Soulivanh THAO, Extrèmes : Statistiques, Impacts et Régionalisation
14:00-14:25 (25min)
› Statistical and machine learning methods to reconstruct solar irradiance data at high temporal resolution from climate projections
- Rosemary Eade, IPSL/CNRS
14:25-14:50 (25min)
› A temporal stochastic bias correction using a machine learning attention model
- Omer Nivron, University of Cambridge
14:50-15:15 (25min)
15:15 - 15:45 (30min)
Coffee break
![]() 15:45 - 16:35 (50min)
Machine learning
![]() Grégoire Mariéthoz
› ML-based bias correction of precipitation data for enhanced climate adaptation in Morocco
- Zineb Errachdi, International Water Research Institute, Mohammed VI Polytechnic University, College of Sustainable Agriculture and Environmental Sciences
15:45-16:10 (25min)
› Improving the Robustness of Super-Resolution Algorithms to Extreme Events and Climate Change
- Tom Beucler, University of Lausanne
16:10-16:35 (25min)
16:35 - 16:50 (15min)
Discussions, conclusion and wrap-up of the workshop
![]() Mathieu Vrac
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