P
Peter Düben
Researcher at European Centre for Medium-Range Weather Forecasts
Publications - 60
Citations - 1317
Peter Düben is an academic researcher from European Centre for Medium-Range Weather Forecasts. The author has contributed to research in topics: Weather and climate & Computer science. The author has an hindex of 16, co-authored 51 publications receiving 855 citations. Previous affiliations of Peter Düben include Max Planck Society & University of Oxford.
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DYAMOND: the DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains
Bjorn Stevens,Masaki Satoh,Ludovic Auger,Joachim Biercamp,Christopher S. Bretherton,Xi Chen,Peter Düben,Falko Judt,Marat Khairoutdinov,Daniel Klocke,Chihiro Kodama,Luis Kornblueh,Shian-Jiann Lin,Philipp Neumann,William M. Putman,Niklas Röber,Ryosuke Shibuya,Benoit Vanniere,Pier Luigi Vidale,Nils Wedi,Linjiong Zhou +20 more
TL;DR: The first intercomparison project of global storm-resolving models, DYAMOND, was presented in 2016 as discussed by the authors, where nine models submitted simulation output for a 40-day (1 August-10 September 2016) intercomarcison period, eight of these employed a tiling of the sphere that was uniformly less than 5 km.
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Global Cloud-Resolving Models
Masaki Satoh,Bjorn Stevens,Falko Judt,Marat Khairoutdinov,Shian-Jiann Lin,William M. Putman,Peter Düben +6 more
TL;DR: GCRMs are designed to resolve the multiscale nature of moist convection in the global dynamics context, without using cumulus parameterization, and are the promise of a new generation of global weather and climate simulations.
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Single Precision in Weather Forecasting Models: An Evaluation with the IFS
Filip Váňa,Peter Düben,Simon T. K. Lang,Tim Palmer,Martin Leutbecher,Deborah Salmond,Glenn Carver +6 more
TL;DR: The impact of limiting almost all real-number variables in the forecasting mode of ECMWF Integrated Forecast System (IFS) from 64 to 32 bits is investigated and provides the motivation for more scale-selective reductions in numerical precision.
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Assessing the scales in numerical weather and climate predictions: will exascale be the rescue?
Philipp Neumann,Peter Düben,Panagiotis Adamidis,Peter Bauer,Matthias Brück,Luis Kornblueh,Daniel Klocke,Bjorn Stevens,Nils Wedi,Joachim Biercamp +9 more
TL;DR: Scalability measurements and a performance modelling approach are used to derive performance estimates for these models on upcoming exascale supercomputers, illustrating the importance of high-resolution models to gain improvements in the accuracy of convective processes.
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The use of imprecise processing to improve accuracy in weather & climate prediction
TL;DR: Simulation results from the Lorenz '96 simulations suggest that inexact calculations at the small scale could reduce computation and power costs without adversely affecting the quality of the simulations, which would allow higher resolution models to be run at the same computational cost.