Peter D. Düben

According to our database, Peter D. Düben authored at least 28 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Neural general circulation models for weather and climate.

Dmitrii Kochkov, Janni Yuval, Ian Langmore, Peter C. Norgaard, Jamie A. Smith, Griffin Mooers, Milan Klöwer, James Lottes, Stephan Rasp, Peter D. Düben, Sam Hatfield, Peter W. Battaglia, Alvaro Sanchez-Gonzalez, Matthew Willson, Michael P. Brenner, Stephan Hoyer

Nat., August, 2024

Probabilistic Forecasting with Generative Networks via Scoring Rule Minimization.

Lorenzo Pacchiardi, Rilwan A. Adewoyin, Peter Dueben, Ritabrata Dutta

J. Mach. Learn. Res., 2024

DiffDA: a Diffusion model for weather-scale Data Assimilation.

Langwen Huang, Lukas Gianinazzi, Yuejiang Yu, Peter D. Düben, Torsten Hoefler

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Neural General Circulation Models.

Dmitrii Kochkov, Janni Yuval, Ian Langmore, Peter C. Norgaard, Jamie A. Smith, Griffin Mooers, James Lottes, Stephan Rasp, Peter D. Düben, Milan Klöwer, Sam Hatfield, Peter W. Battaglia, Alvaro Sanchez-Gonzalez, Matthew Willson, Michael P. Brenner, Stephan Hoyer

CoRR, 2023

WeatherBench 2: A benchmark for the next generation of data-driven global weather models.

Stephan Rasp, Stephan Hoyer, Alexander Merose, Ian Langmore, Peter W. Battaglia, Tyler Russell, Alvaro Sanchez-Gonzalez, Vivian Yang, Rob Carver, Shreya Agrawal, Matthew Chantry, Zied Ben Bouallegue, Peter Dueben, Carla Bromberg, Jared Sisk, Luke Barrington, Aaron Bell, Fei Sha

CoRR, 2023

2022

ENS-10: A Dataset For Post-Processing Ensemble Weather Forecast.

Saleh Ashkboos, Langwen Huang, Nikoli Dryden, Tal Ben-Nun, Peter Dueben, Lukas Gianinazzi, Luca Kummer, Torsten Hoefler

CoRR, 2022

A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts.

Lucy Harris, Andrew T. T. McRae, Matthew Chantry, Peter D. Düben, Tim N. Palmer

CoRR, 2022

ENS-10: A Dataset For Post-Processing Ensemble Weather Forecasts.

Saleh Ashkboos, Langwen Huang, Nikoli Dryden, Tal Ben-Nun, Peter Dueben, Lukas Gianinazzi, Luca Kummer, Torsten Hoefler

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

An open science exploration of global 1-km simulations of the earth's atmosphere.

Valentine Anantharaj, Samuel Hatfield, Inna Polichtchouk, Nils Wedi, Morgan E. O'Neill, Thomas Papatheodore, Peter Dueben

Proceedings of the 18th IEEE International Conference on e-Science, 2022

2021

Compressing atmospheric data into its real information content.

Milan Klöwer, Miha Razinger, Juan J. Dominguez, Peter D. Düben, Tim N. Palmer

Nat. Comput. Sci., 2021

The digital revolution of Earth-system science.

Peter Bauer, Peter D. Düben, Torsten Hoefler, Tiago Quintino, Thomas C. Schulthess, Nils P. Wedi

Nat. Comput. Sci., 2021

TRU-NET: a deep learning approach to high resolution prediction of rainfall.

Rilwan A. Adewoyin, Peter Dueben, Peter Watson, Yulan He, Ritabrata Dutta

Mach. Learn., 2021

Resilience and fault tolerance in high-performance computing for numerical weather and climate prediction.

Tommaso Benacchio, Luca Bonaventura, Mirco Altenbernd, Chris D. Cantwell, Peter D. Düben, Mike Gillard, Luc Giraud, Dominik Göddeke, Erwan Raffin, Keita Teranishi, Nils Wedi

Int. J. High Perform. Comput. Appl., 2021

Machine Learning Emulation of Urban Land Surface Processes.

David Meyer, Sue Grimmond, Peter Dueben, Robin J. Hogan, Maarten van Reeuwijk

CoRR, 2021

Probabilistic Forecasting with Conditional Generative Networks via Scoring Rule Minimization.

Lorenzo Pacchiardi, Rilwan Adewoyin, Peter Dueben, Ritabrata Dutta

CoRR, 2021

Mixed-precision for Linear Solvers in Global Geophysical Flows.

Jan Ackmann, Peter D. Düben, Tim N. Palmer, Piotr K. Smolarkiewicz

CoRR, 2021

Machine Learning Emulation of 3D Cloud Radiative Effects.

David Meyer, Robin J. Hogan, Peter D. Düben, Shannon L. Mason

CoRR, 2021

2020

Machine-Learned Preconditioners for Linear Solvers in Geophysical Fluid Flows.

Jan Ackmann, Peter D. Düben, Tim N. Palmer, Piotr K. Smolarkiewicz

CoRR, 2020

Deep Learning for Post-Processing Ensemble Weather Forecasts.

Peter Grönquist, Chengyuan Yao, Tal Ben-Nun, Nikoli Dryden, Peter Dueben, Shigang Li, Torsten Hoefler

CoRR, 2020

2019

Predicting Weather Uncertainty with Deep Convnets.

Peter Grönquist, Tal Ben-Nun, Nikoli Dryden, Peter Dueben, Luca Lavarini, Shigang Li, Torsten Hoefler

CoRR, 2019

Accelerating High-Resolution Weather Models with Deep-Learning Hardware.

Sam Hatfield, Matthew Chantry, Peter D. Düben, Tim N. Palmer

Proceedings of the Platform for Advanced Scientific Computing Conference, 2019

2017

Exploiting the chaotic behaviour of atmospheric models with reconfigurable architectures.

Francis P. Russell, Peter D. Düben, Xinyu Niu, Wayne Luk, Tim N. Palmer

Comput. Phys. Commun., 2017

Validating optimisations for chaotic simulations.

James Stanley Targett, Peter D. Düben, Wayne Luk

Proceedings of the 27th International Conference on Field Programmable Logic and Applications, 2017

2015

Lower precision for higher accuracy: Precision and resolution exploration for shallow water equations.

James Stanley Targett, Xinyu Niu, Francis P. Russell, Wayne Luk, Stephen Jeffress, Peter D. Düben

Proceedings of the 2015 International Conference on Field Programmable Technology, 2015

Architectures and Precision Analysis for Modelling Atmospheric Variables with Chaotic Behaviour.

Francis P. Russell, Peter D. Düben, Xinyu Niu, Wayne Luk, Tim N. Palmer

Proceedings of the 23rd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2015

Opportunities for energy efficient computing: a study of inexact general purpose processors for high-performance and big-data applications.

Peter D. Düben, Jeremy Schlachter, Parishkrati, Sreelatha Yenugula, John Augustine, Christian C. Enz, Krishna V. Palem, Tim N. Palmer

Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015

2014

The use of imprecise processing to improve accuracy in weather & climate prediction.

Peter D. Düben, Hugh McNamara, Tim N. Palmer

J. Comput. Phys., 2014

2012

A discontinuous/continuous low order finite element shallow water model on the sphere.

Peter D. Düben, Peter Korn, Vadym Aizinger

J. Comput. Phys., 2012