Atmospheric and Oceanic Physics · Physics
Stochastic Parameterization: Towards a new view of Weather and Climate Models
Judith Berner, Ulrich Achatz, Lauriane Batte, Lisa Bengtsson +22
2020-11-16
Machine Learning · Computer Science
Machine Learning for Stochastic Parametrisation
Hannah M. Christensen, Salah Kouhen, Greta Miller, Raghul Parthipan
2024-02-16
Machine Learning · Computer Science
Calibrating Bayesian UNet++ for Sub-Seasonal Forecasting
Busra Asan, Abdullah Akgül, Alper Unal, Melih Kandemir +1
2024-04-05
Atmospheric and Oceanic Physics · Physics
Leveraging deterministic weather forecasts for in-situ probabilistic temperature predictions via deep learning
David Landry, Anastase Charantonis, Claire Monteleoni
2025-04-07
Applications · Statistics
A framework for probabilistic weather forecast post-processing across models and lead times using machine learning
Charlie Kirkwood, Theo Economou, Henry Odbert, Nicolas Pugeault
2021-03-17
Machine Learning · Computer Science
Robust Calibration For Improved Weather Prediction Under Distributional Shift
Sankalp Gilda, Neel Bhandari, Wendy Mak, Andrea Panizza
2024-01-10
Atmospheric and Oceanic Physics · Physics
Towards the Probabilistic Earth-System Model
T. N. Palmer, F. J. Doblas-Reyes, A. Weisheimer, G. J. Shutts +2
2009-08-26
Other Statistics · Statistics
Learning to forecast: The probabilistic time series forecasting challenge
Johannes Bracher, Nils Koster, Fabian Krüger, Sebastian Lerch
2023-04-04
Applications · Statistics
Enhanced Renewable Energy Forecasting using Context-Aware Conformal Prediction
Alireza Moradi, Mathieu Tanneau, Reza Zandehshahvar, Pascal Van Hentenryck
2025-10-20