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Week Mon. 26 Tue. 27 Wed. 28 List

	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 20:00 21:00 22:00 23:00	Opening of the workshop 13:30 - 14:00 (30min) Opening of the workshop On-site registration Introduction of the workshop 14:00 - 14:15 (15min) Introduction of the workshop Amphitheater Schlumberger Mathieu Vrac Keynote 1: Uni- and multivariate bias correction methods for hydrological simulations: Trade-offs between complexity and performance 14:15 - 15:00 (45min) Keynote 1: Uni- and multivariate bias correction methods for hydrological simulations: Trade-offs between complexity and performance Amphitheater Schlumberger Invited speaker : Faranak Tootoonchi Swedish University of Agricultural Sciences - SLU Climate / Impacts / Intercomparaison 15:00 - 15:50 (50min) Climate / Impacts / Intercomparaison Amphitheater Schlumberger 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) Coffee break 15:50 - 16:20 (30min) Coffee break Le Carreau hall Climate / Impacts / Intercomparaison 16:20 - 18:00 (1h40) Climate / Impacts / Intercomparaison Amphitheater Schlumberger 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) Ice-breaker cocktail 18:30 - 21:00 (2h30) Ice-breaker cocktail Le Carreau hall	Introduction of the day 9:30 - 9:45 (15min) Introduction of the day Amphitheater Schlumberger Mathieu Vrac Keynote 2 : Boundary Corrected Regional Climate Modelling - Can corrections address the Curse of Dimensionality? 9:45 - 10:30 (45min) Keynote 2 : Boundary Corrected Regional Climate Modelling - Can corrections address the Curse of Dimensionality? Amphitheater Schlumberger Invited speaker : Ashish Sharma, University of New South Wales Stats / Multivariate / Spatial / Temporal 10:30 - 10:55 (25min) Stats / Multivariate / Spatial / Temporal Amphitheater Schlumberger Henning Rust › Bias correction of hourly data from a kilometric scale regional model - Emilia Sanchez-Gomez, Météo-France 10:30-10:55 (25min) Coffee break 10:55 - 11:15 (20min) Coffee break Le Carreau hall Stats / Multivariate / Spatial / Temporal 11:15 - 12:30 (1h15) Stats / Multivariate / Spatial / Temporal Amphitheater Schlumberger 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) Lunch 12:30 - 13:45 (1h15) Lunch Le Carreau hall Stats / Multivariate / Spatial / Temporal 13:45 - 14:35 (50min) Stats / Multivariate / Spatial / Temporal Amphitheater Schlumberger 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) Extremes 14:35 - 15:25 (50min) Extremes Amphitheater Schlumberger 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) Poster Session + Coffee break 15:25 - 16:25 (1h) Poster Session + Coffee break Le Carreau hall Extremes 16:25 - 17:15 (50min) Extremes Amphitheater Schlumberger 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) Keynote 3 : Bridging the Gap: Correcting Simulation Biases via Generative Distribution Matching 17:15 - 18:00 (45min) Keynote 3 : Bridging the Gap: Correcting Simulation Biases via Generative Distribution Matching Amphitheater Schlumberger Zhong Yi Wan, Google Research Dinner Cruise on the Seine River 20:45 - 23:15 (2h30) Dinner Cruise on the Seine River	Introduction of the day 9:30 - 9:45 (15min) Introduction of the day Amphitheater Schlumberger Mathieu Vrac Keynote 4 : Empirical run-time bias corrections in an atmospheric GCM 9:45 - 10:30 (45min) Keynote 4 : Empirical run-time bias corrections in an atmospheric GCM Amphitheater Schlumberger Gerhard Krinner, Institute of Environmental Geosciences - CNRS Climate Models / Forecasts / Ensemble / Tools 10:30 - 10:55 (25min) Climate Models / Forecasts / Ensemble / Tools Amphitheater Schlumberger 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) Coffee break 10:55 - 11:15 (20min) Coffee break Le Carreau hall Climate Models / Forecasts / Ensemble / Tools 11:15 - 12:30 (1h15) Climate Models / Forecasts / Ensemble / Tools Amphitheater Schlumberger 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) Lunch 12:30 - 14:00 (1h30) Lunch Le Carreau hall Machine learning 14:00 - 15:15 (1h15) Machine learning Amphitheater Schlumberger 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) Coffee break 15:15 - 15:45 (30min) Coffee break Le Carreau hall Machine learning 15:45 - 16:35 (50min) Machine learning Amphitheater Schlumberger 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) Discussions, conclusion and wrap-up of the workshop 16:35 - 16:50 (15min) Discussions, conclusion and wrap-up of the workshop Amphitheater Schlumberger Mathieu Vrac

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