Peter Dueben
Title
Cited by
Cited by
Year
Challenges and design choices for global weather and climate models based on machine learning
PD Dueben, P Bauer
Geoscientific Model Development 11 (10), 3999-4009, 2018
882018
DYAMOND: the DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains
B Stevens, M Satoh, L Auger, J Biercamp, CS Bretherton, X Chen, ...
Progress in Earth and Planetary Science 6 (1), 1-17, 2019
68*2019
Global cloud-resolving models
M Satoh, B Stevens, F Judt, M Khairoutdinov, SJ Lin, WM Putman, ...
Current Climate Change Reports 5 (3), 172-184, 2019
632019
Single precision in weather forecasting models: An evaluation with the IFS
F Váňa, P Düben, S Lang, T Palmer, M Leutbecher, D Salmond, G Carver
Monthly Weather Review 145 (2), 495-502, 2017
582017
The use of imprecise processing to improve accuracy in weather & climate prediction
PD Düben, H McNamara, TN Palmer
Journal of Computational Physics 271, 2-18, 2014
572014
Benchmark tests for numerical weather forecasts on inexact hardware
PD Düben, TN Palmer
Monthly Weather Review 142 (10), 3809-3829, 2014
482014
On the use of inexact, pruned hardware in atmospheric modelling
PD Düben, J Joven, A Lingamneni, H McNamara, G De Micheli, ...
Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2014
422014
WeatherBench: A Benchmark Data Set for Data‐Driven Weather Forecasting
S Rasp, PD Dueben, S Scher, JA Weyn, S Mouatadid, N Thuerey
Journal of Advances in Modeling Earth Systems 12 (11), e2020MS002203, 2020
352020
On the use of programmable hardware and reduced numerical precision in earth‐system modeling
PD Düben, FP Russell, X Niu, W Luk, TN Palmer
Journal of advances in modeling earth systems 7 (3), 1393-1408, 2015
322015
rpe v5: an emulator for reduced floating-point precision in large numerical simulations
A Dawson, PD Düben
Geoscientific Model Development 10 (6), 2221-2230, 2017
292017
Assessing the scales in numerical weather and climate predictions: will exascale be the rescue?
P Neumann, P Düben, P Adamidis, P Bauer, M Brück, L Kornblueh, ...
Philosophical Transactions of the Royal Society A 377 (2142), 20180148, 2019
282019
On the use of scale‐dependent precision in Earth system modelling
T Thornes, P Düben, T Palmer
Quarterly Journal of the Royal Meteorological Society 143 (703), 897-908, 2017
252017
Opportunities for energy efficient computing: A study of inexact general purpose processors for high-performance and big-data applications
P Düben, S Yenugula, J Augustine, K Palem, J Schlachter, C Enz, ...
2015 Design, Automation & Test in Europe Conference & Exhibition (DATE), 764-769, 2015
242015
Choosing the optimal numerical precision for data assimilation in the presence of model error
S Hatfield, P Düben, M Chantry, K Kondo, T Miyoshi, T Palmer
Journal of Advances in Modeling Earth Systems 10 (9), 2177-2191, 2018
192018
Reliable low precision simulations in land surface models
A Dawson, PD Düben, DA MacLeod, TN Palmer
Climate Dynamics 51 (7), 2657-2666, 2018
182018
Improving weather forecast skill through reduced-precision data assimilation
S Hatfield, A Subramanian, T Palmer, P Düben
Monthly Weather Review 146 (1), 49-62, 2018
182018
Scale-selective precision for weather and climate forecasting
M Chantry, T Thornes, T Palmer, P Düben
Monthly Weather Review 147 (2), 645-655, 2019
172019
A study of reduced numerical precision to make superparameterization more competitive using a hardware emulator in the OpenIFS model
PD Düben, A Subramanian, A Dawson, TN Palmer
Journal of Advances in Modeling Earth Systems 9 (1), 566-584, 2017
162017
Challenges and design choices for global weather and climate models based on machine learning, Geosci. Model Dev., 11, 3999–4009, 10.5194
PD Dueben, P Bauer
gmd-11-3999-2018, 2018
152018
Challenges and design choices for global weather and climate models based on machine learning, Geosci. Model Dev., 11, 3999–4009
PD Dueben, P Bauer
152018
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