Rüdiger Brecht

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All published works
Action Title Year Authors
+ Towards replacing precipitation ensemble predictions systems using machine learning 2024 Rüdiger Brecht
Alex Bihlo
+ PDF Chat Physics-informed neural networks for tsunami inundation modeling 2024 Rüdiger Brecht
Elsa Dos Santos Cardoso-Bihlo
Alex Bihlo
+ PDF Chat Computing the Ensemble Spread From Deterministic Weather Predictions Using Conditional Generative Adversarial Networks 2023 Rüdiger Brecht
Alex Bihlo
+ M-ENIAC: A machine learning recreation of the first successful numerical weather forecasts 2023 Rüdiger Brecht
Alex Bihlo
+ Towards replacing precipitation ensemble predictions systems using machine learning 2023 Rüdiger Brecht
Alex Bihlo
+ PDF Chat Towards Replacing Precipitation Ensemble Predictions Systems Using Machine Learning 2023 Rüdiger Brecht
Alex Bihlo
+ Casimir-dissipation stabilized stochastic rotating shallow water equations on the sphere 2023 Werner Bauer
Rüdiger Brecht
+ PDF Chat Casimir-Dissipation Stabilized Stochastic Rotating Shallow Water Equations on the Sphere 2023 Werner Bauer
Rüdiger Brecht
+ Improving physics-informed DeepONets with hard constraints 2023 Rüdiger Brecht
Dmytro R. Popovych
Alex Bihlo
Roman O. Popovych
+ PDF Chat Computing the ensemble spread from deterministic weather predictions using conditional generative adversarial networks 2022 Rüdiger Brecht
Alex Bihlo
+ PDF Chat Computing the ensemble spread from deterministic weather predictions using conditional generative adversarial networks 2022 Rüdiger Brecht
Alex Bihlo
+ Improving trajectory calculations using deep learning inspired single image superresolution 2022 Rüdiger Brecht
Lucie Bakels
Alex Bihlo
A. Stohl
+ PDF Chat Selective decay for the rotating shallow-water equations with a structure-preserving discretization 2021 Rüdiger Brecht
Werner Bauer
Alexander Bihlo
François Gay‐Balmaz
Scott MacLachlan
+ PDF Chat Rotating Shallow Water Flow Under Location Uncertainty With a Structure‐Preserving Discretization 2021 Rüdiger Brecht
Long Li
Werner Bauer
Étienne Mémin
+ PDF Chat Rotating shallow water flow under location uncertainty with a structure-preserving discretization 2021 Rüdiger Brecht
Long Li
Werner Bauer
Étienne Mémin
+ Rotating shallow water flow under location uncertainty with a structure-preserving discretization 2021 Rüdiger Brecht
Long Li
Werner Bauer
Étienne Mémin
+ Rotating shallow water flow under location uncertainty with a structure-preserving discretization 2021 Rüdiger Brecht
Long Li
Werner Bauer
Étienne Mémin
+ Selective decay for the rotating shallow-water equations with a structure-preserving discretization 2021 Rüdiger Brecht
Werner Bauer
Alexander Bihlo
François Gay‐Balmaz
Scott MacLachlan
+ PDF Chat Variational integrator for the rotating shallow‐water equations on the sphere 2019 Rüdiger Brecht
Werner Bauer
Alexander Bihlo
François Gay‐Balmaz
Scott MacLachlan
+ PDF Chat A well-balanced meshless tsunami propagation and inundation model 2017 Rüdiger Brecht
Alexander Bihlo
Scott MacLachlan
Jörn Behrens
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Towards a geometric variational discretization of compressible fluids: The rotating shallow water equations 2018 Werner Bauer
François Gay‐Balmaz
6
+ PDF Chat Discrete mechanics and variational integrators 2001 Jerrold E. Marsden
Matthew West
5
+ Variational discretization for rotating stratified fluids 2013 Vladimir Zeitlin
François Gay‐Balmaz
Evan S. Gawlik
Mathieu Desbrun
5
+ PDF Chat Structure-preserving discretization of incompressible fluids 2010 Д. А. Павлов
Patrick Mullen
Yiying Tong
Eva Kanso
Jerrold E. Marsden
Mathieu Desbrun
5
+ PDF Chat Geometric, variational discretization of continuum theories 2011 Evan S. Gawlik
Patrick Mullen
Dmitry Pavlov
Jerrold E. Marsden
Mathieu Desbrun
5
+ PDF Chat Energy‐ and enstrophy‐conserving schemes for the shallow‐water equations, based on mimetic finite elements 2013 Andrew T. T. McRae
Colin J. Cotter
5
+ PDF Chat Variational integrator for the rotating shallow‐water equations on the sphere 2019 Rüdiger Brecht
Werner Bauer
Alexander Bihlo
François Gay‐Balmaz
Scott MacLachlan
4
+ Geometric Numerical Integration: Structure-Preserving Algorithms for Ordinary Differential Equations 2009 Ernst Hairer
Christian Lubich
Gerhard Wanner
4
+ PDF Chat A Scale-Invariant Formulation of the Anticipated Potential Vorticity Method 2011 Qingshan Chen
Max Gunzburger
Todd D. Ringler
4
+ Simulating Hamiltonian Dynamics 2005 Benedict Leimkuhler
Sebastian Reich
3
+ PDF Chat Variational integrators for anelastic and pseudo-incompressible flows 2019 Werner Bauer
François Gay–Balmaz
3
+ PDF Chat A conservative adaptive wavelet method for the shallow‐water equations on the sphere 2014 Matthias Aechtner
Nicholas Kevlahan
Thomas Dubos
3
+ PDF Chat Deterministic Nonperiodic Flow 1963 Edward N. Lorenz
3
+ PDF Chat On the Arbitrarily Long-Term Stability of Conservative Methods 2018 Andy T. S. Wan
Jean‐Christophe Nave
3
+ PDF Chat Selective decay by Casimir dissipation in inviscid fluids 2013 François Gay–Balmaz
Darryl D. Holm
3
+ PDF Chat Rotating Shallow Water Flow Under Location Uncertainty With a Structure‐Preserving Discretization 2021 Rüdiger Brecht
Long Li
Werner Bauer
Étienne Mémin
3
+ Simulating Hamiltonian Dynamics 2005 Benedict Leimkuhler
Sebastian Reich
3
+ PDF Chat A geometric theory of selective decay with applications in MHD 2014 François Gay–Balmaz
Darryl D. Holm
2
+ Higher-order compatible finite element schemes for the nonlinear rotating shallow water equations on the sphere 2018 Jemma Shipton
Thomas H. Gibson
Colin J. Cotter
2
+ PDF Chat Geophysical flows under location uncertainty, Part I Random transport and general models 2017 Valentin Resseguier
Étienne Mémin
Bertrand Chapron
2
+ PDF Chat A generalised-Lagrangian-mean model of the interactions between near-inertial waves and mean flow 2015 Jin-Han Xie
Jacques Vanneste
2
+ PDF Chat Ensemble Methods for Neural Network‐Based Weather Forecasts 2020 Sebastian Scher
Gabriele Messori
2
+ PDF Chat A generative adversarial network approach to (ensemble) weather prediction 2021 Alex Bihlo
2
+ PDF Chat Physics-informed neural networks for the shallow-water equations on the sphere 2022 Alex Bihlo
Roman O. Popovych
2
+ PDF Chat Sub‐Seasonal Forecasting With a Large Ensemble of Deep‐Learning Weather Prediction Models 2021 Jonathan A. Weyn
Dale R. Durran
Rich Caruana
Nathaniel Cresswell‐Clay
2
+ PDF Chat Combining distribution‐based neural networks to predict weather forecast probabilities 2021 Mariana Clare
Omar Jamil
Cyril Morcrette
2
+ Stochastic Analysis on Manifolds 2002 Elton P. Hsu
2
+ PDF Chat Energy conserving upwinded compatible finite element schemes for the rotating shallow water equations 2019 Golo A. Wimmer
Colin J. Cotter
Werner Bauer
2
+ FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators 2022 Jaideep Pathak
Shashank Subramanian
Peter Harrington
Sanjeev Raja
Ashesh Chattopadhyay
Morteza Mardani
Thorsten Kurth
David Hall
Zongyi Li
Kamyar Azizzadenesheli
2
+ Stochastic Parameterization: Toward a New View of Weather and Climate Models 2016 Judith Berner
Ulrich Achatz
Lauriane Batté
Lisa Bengtsson
Álvaro de la Cámara
Hannah M. Christensen
Matteo Colangeli
D. Coleman
Daan Crommelin
Stamen Dolaptchiev
2
+ An alternative view of generalized Lagrangian mean theory 2013 Rick Salmon
2
+ PDF Chat Stochastic climate theory and modeling 2014 Christian Franzke
T. Okane
Judith Berner
Paul D. Williams
Valerio Lucarini
2
+ PDF Chat Image-to-Image Translation with Conditional Adversarial Networks 2017 Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
2
+ Predicting Weather Uncertainty with Deep Convnets 2019 Peter Grönquist
Tal Ben‐Nun
Nikoli Dryden
Peter Dueben
Luca Lavarini
Shigang Li
Torsten Hoefler
2
+ PDF Chat Stochastic representation of the Reynolds transport theorem: Revisiting large-scale modeling 2017 Souleymane Kadri Harouna
Étienne Mémin
2
+ PDF Chat Scale‐selective dissipation in energy‐conserving finite‐element schemes for two‐dimensional turbulence 2017 Andrea Natale
Colin J. Cotter
2
+ PDF Chat Stochastic Climate Theory 2016 Georg A. Gottwald
Daan Crommelin
Christian Franzke
2
+ Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting 2015 Xingjian Shi
Zhourong Chen
Hao Wang
Dit‐Yan Yeung
Wai Kin Wong
Wang‐chun Woo
2
+ PDF Chat Implementation of the LANS-α turbulence model in a primitive equation ocean model 2008 Matthew Hecht
Darryl D. Holm
Mark Petersen
Beth Wingate
2
+ PDF Chat Fluid flow dynamics under location uncertainty 2014 Étienne Mémin
2
+ PDF Chat A Variational Finite Element Discretization of Compressible Flow 2020 Evan S. Gawlik
François Gay‐Balmaz
2
+ The Euler–Poincaré Equations and Semidirect Products with Applications to Continuum Theories 1998 Darryl D. Holm
Jerrold E. Marsden
Tudor S. Raţiu
2
+ PDF Chat Variational principles for stochastic fluid dynamics 2015 Darryl D. Holm
2
+ PDF Chat Deep Learning for Postprocessing Global Probabilistic Forecasts on Subseasonal Time Scales 2024 Nina Horat
Sebastian Lerch
1
+ Stochastic Equations in Infinite Dimensions 2014 Giuseppe Da Prato
Jerzy Zabczyk
1
+ A limiter-based well-balanced discontinuous Galerkin method for shallow-water flows with wetting and drying: One-dimensional case 2015 Stefan Vater
Nicole Beisiegel
Jörn Behrens
1
+ PDF Chat Selective decay in fluids with advected quantities: MHD and Hall MHD 2013 François Gay–Balmaz
Darryl D. Holm
1
+ Riemannian Manifolds: An Introduction to Curvature 1997 John M. Lee
1
+ PDF Chat Invariant Discretization Schemes for the Shallow-Water Equations 2012 Alexander Bihlo
Roman O. Popovych
1
+ Symmetry-adapted moving mesh schemes for the nonlinear Schrödinger equation 2001 Chris Budd
В. А. Дородницын
1