Bias Correction in Climate Studies

9:30 - 9:45 (15min)

Introduction of the day

Amphitheater Schlumberger

Mathieu Vrac

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

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)

10:55 - 11:15 (20min)

Coffee break

Le Carreau hall

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)

12:30 - 14:00 (1h30)

Lunch

Le Carreau hall

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)

15:15 - 15:45 (30min)

Coffee break

Le Carreau hall

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)

16:35 - 16:50 (15min)

Discussions, conclusion and wrap-up of the workshop

Amphitheater Schlumberger

Mathieu Vrac