Casimir-Dissipation Stabilized Stochastic Rotating Shallow Water Equations on the Sphere. - Werner Bauer; Rüdiger Brecht (GSI (2), 2021)

Rotating shallow water flow under location uncertainty with a structure-preserving discretization. - Rüdiger Brecht; Long Li 007; Werner Bauer; Étienne Mémin (CoRR, 2021)

Selective decay for the rotating shallow-water equations with a structure-preserving discretization. - Rüdiger Brecht; Werner Bauer; Alexander Bihlo; François Gay-Balmaz; Scott P. MacLachlan (CoRR, 2021)

Computing the ensemble spread from deterministic weather predictions using conditional generative adversarial networks. - Rüdiger Brecht; Alex Bihlo (CoRR, 2022)

Improving trajectory calculations using deep learning inspired single image superresolution. - Rüdiger Brecht; Lucie Bakels; Alex Bihlo; Andreas Stohl (CoRR, 2022)

Model-agnostic machine learning of conservation laws from data. - Shivam Arora; Alex Bihlo; Rüdiger Brecht; Pavel Holba (CoRR, 2023)

M-ENIAC: A machine learning recreation of the first successful numerical weather forecasts. - Rüdiger Brecht; Alex Bihlo (CoRR, 2023)

Towards replacing precipitation ensemble predictions systems using machine learning. - Rüdiger Brecht; Alex Bihlo (CoRR, 2023)

Improving physics-informed DeepONets with hard constraints. - Rüdiger Brecht; Dmytro R. Popovych; Alex Bihlo; Roman O. Popovych (CoRR, 2023)

Physics-informed neural networks for tsunami inundation modeling. - Rüdiger Brecht; Elsa Dos Cardoso-Bihlo; Alex Bihlo (J. Comput. Phys., 2025)