Peter Dueben

Royal Society Fellow
Research Department, Earth System Modelling Section, Numerical Methods Group

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Profile
Professional interests: 
  • Dynamical core development.
  • Grid refinement.
  • High resolution weather and climate models.
  • High Performance Computing for weather and climate models.
  • Model error, model uncertainty and predictability.
  • Neural Networks and deep learning.
  • New hardware for computational fluid dynamics (field programmable gate arrays (FPGAs), pruned hardware, stochastic processors,...).
  • Reduced numerical precision.
  • Scale interactions and chaotic systems.
  • Separation of of boundary currents.
  • Stochastic parametrisation schemes. 

 

Career background: 

EDUCATION AND WORK EXPERIENCE

  • 2017-today: Royal Society University Research Fellow in the Research Department of the European Centre for Medium Range Weather Forecasts (ECMWF).
  • 2016 - 2017: Scientist working in the Research Department of ECMWF on the ESiWACE project, Reading, UK.
  • 2012 - 2016: Postdoctoral Research Assistant working with Tim Palmer at the sub-department for Atmospheric, Oceanic and Planetary Physics, University of Oxford, UK. Postdoctoral MCR Member of Jesus College.
  • 2009 - 2012: PhD supervised by Peter Korn and Jochem Marotzke at the Max Planck Institute for Meteorology, Hamburg, Germany. Thesis: “Development of a Low Order Finite Element Shallow Water Model with Grid Refinement Capability”. Member of the International Max Planck Research School on Earth System Modelling.
  • 2004 - 2009: Diploma in Physics supervised by Dirk Homeier and Gernot Münster at the Institute for Theoretical Physics, Westfälische Wilhelms-Universität, Münster, Germany.

 

TEACHING EXPERIENCE

  • 2017 - 2019: Lecturer at training courses at ECMWF.
  • 2017 - 2018: Supervisor of Master Projects at the University of Bristol and Imperial College London.
  • 2016: Lecturer at the ISSAOS 2016 summer school on "Advanced Programming Techniques for the Earth System Science" hosted by the Gran Sasso Science Institute in L’Aquila, Italy.
  • 2016: Organiser and Lecturer at the "Chaos and Uncertainty in Weather Forecasts" advanced course for PhD students of the Environmental Research Doctoral Training Partnership at the University of Oxford.
  • 2015: Evaluator of MPhys projects at the Department of Physics, University of Oxford.
  • 2017 - today: PhD supervisor (together with Tim Palmer) of the PhD project of Milan Klöwer at the University of Oxford.
  • 2015 - today: PhD supervisor (together with Tim Palmer) of the PhD project of Samuel Hatfield at the University of Oxford.
  • 2014 - 2018: PhD supervisor (together with Tim Palmer) of the PhD project of Tobias Thornes at the University of Oxford.
  • 2013 - 2016: Tutor for the "Fluid Flows, Fluctuations and Complexity" course for undergraduate students in Physics at New College and Somerville College, University of Oxford.
  • 2013 - 2014: Supervisor of MPhys Projects in the Department of Physics, University of Oxford.
  • 2013: Supervisor of a summer student in the Department of Physics, University of Oxford.
  • 2011 - 2015: Lecturer at the "Introduction to Earth System Science and Modelling" course for PhD students at the International Max Planck Research School on Earth System Modelling.
  • 2007 - 2009: Tutor for undergraduate students in Physics at the University of Münster, Germany.

 

ORGANISATIONAL EXPERIENCE

  • 2019: Organiser of the "Machine Learning for Weather and Climate Modelling" workshop at Corpus Christi College, University of Oxford.
  • 2015 - today: Convener at EGU General Assembly for several sessions on high resolution simulations, high performance computing and machine learning in Earth System modelling.
  • 2019: Committee member for the Climate and Weather Domain of PASC 2019.
  • 2018 and 2019: Convener of several Minisymposia at PASC 2019 on high resolution modelling and machine learning in weather and climate science.
  • 2018 and 2019: Member of the Program Committee of the "AI in HPC" workshop at ISC 2018.
  • 2015: Organiser of the "OpenIFS User Meeting 2015" hosted by ECMWF and the University of Oxford.
  • 2013: Guest Editor for a special issue of the Philosophical Transactions of the Royal Society A.
  • 2013: Organiser of the "Workshop on Stochastic Modelling and Computing for Weather and Climate Prediction" at Oriel College, University of Oxford.
  • 2009: Organiser of the "Model United Nations Climate Change Conference" at the Max Planck Institute for Meteorology, Hamburg, Germany.

 

External recognitions: 

AWARDS, PROPOSALS AND GRANTS

  • 2019: Best Paper Award at PASC2019.
  • 2018: Co-author of the ExtremeEarth Preparatory Project proposal for the preparation of a EU Flagship proposal on high-resolution modeling of weather, climate and solid Earth (http://www.extremeearth.eu/).
  • 2018: Work-package leader of the ESiWACE-2 Centre of Excellence H2020 project that has started in 2019 (www.esiwace.eu).
  • 2017: Royal Society University Research Fellowship on "Uncertainty in Earth System Modelling".
  • 2017: Co-author of the ESCAPE-2 FET H2020 project that has started in 2018 (www.hpc-escape.eu).
  • 2016: Main author of an accepted proposal for a three year Postdoctoral Research Assistant position, funded by the Office of Naval Research working on "More accurate forecasts of extreme weather events and tropical cyclones with higher resolution using energy efficient hardware with reduced numerical precision" (PI Tim Palmer).
  • 2015: Main author of an accepted proposal for a four-month Postdoctoral Research Assistant position, funded by the Recover network working on "Optimal use of reduced precision hardware in weather and climate models" (PI Tim Palmer).
  • 2015: Award for Excellence from the Department of Physics at the University of Oxford. One-off lump sum of 965 GBP.
  • 2015: Main author of an accepted proposal for a hot topic workshop from CliMathNet for the OpenIFS user meeting 2015.
  • 2014: Main author of a special project: "The use of imprecise arithmetic to increase resolution in atmospheric models", worth 30,000,000 billing units at the high performance computing centre of ECMWF (PI Tim Palmer).
  • I obtained travel grants for the participation at the Dynamical Core Model Intercomparison Project (DCMIP), Boulder, USA, awarded by DCMIP in 2012; for an academic visit to Imperial College London, UK, awarded by the visitor programme of the International Max Planck Research School on Earth System Modelling in 2012; for participation at the WCRP Open Science Conference, Denver, USA, awarded by the WCRP in 2011; for the participation at the long term programme “Model and Data Hierarchies for Simulating and Understanding Climate” at the Institute for Pure & Applied Mathematics (IPAM), University of California, Los Angeles, USA, awarded by IPAM in 2010.

 

INVITED TALKS

Peter was invited as speaker at:

  • CliMatNet conference in Reading 2013 and Bath 2015 (both keynote)
  • OpenSPL symposium in London 2015 (keynote)
  • The thermodynamics of computation workshop at the Santa Fe Institute 2017 (keynote)
  • 3ClustersConference in Berlin 2018 (keynote)
  • UCP2019 in Berlin (keynote)
  • GTC Europe in Munich 2018
  • ISC in Frankfurt 2019
  • Recover LWEC meeting in Leeds 2018
  • SIAM PP in Tokyo 2018

Peter gave invited seminar talks at the following institutions:

  • Alfred Wegener Institute for Polar and Marine Research (AWI)
  • Deutsches Klimarechenzentrum (DKRZ)
  • European Centre for Medium-Range Weather Forecasts (ECMWF)
  • Free University of Berlin
  • Imperial College London
  • Los Alamos National Laboratory
  • Ludwig Maximilian University Munich
  • Max Planck Institute for Meteorology
  • MPE CDT Reading
  • Pacific Northwest National Laboratory
  • Science & Technology Facilities Council (STFC) Daresbury
  • University of Cambridge
  • University of Exeter
  • University of Frankfurt
  • University of Hamburg
  • University of Leeds
  • University of Oxford
  • University of Reading

 

SCIENTIFIC REVIEWER

Peter has written referee reports for articles in the following scientific journals:

Bulletin of the American Meteorological Society, Geosciences, Geoscientific Model Development, IEEE Transactions on Parallel and Distributed Systems, Journal of Advances in Modeling Earth Systems, Journal of Applied Meteorology and Climatology, Journal of Computational Physics, Nonlinear Processes in Geophysics, Nonlinearity, Monthly Weather Review, Science Advances and Tellus A.

Publications

Peer-reviewed publications

[35] Bjorn Stevens, Masaki Satoh, Ludovic Auger, Joachim Biercamp, Christopher Bretherton, Xi Chen, Peter Düben, Falko Judt, Marat Khairoutdinov, Daniel Klocke, Chihiro Kodama, Luis Kornblueh, Shian-Jiann Lin, William Putman, Shibuya Ryosuke, Philipp Neumann, Nicolas Röber, Bennoit Vannier, Pier-Luigi Vidale, Nils Wedi, Linjiong Zhou. DYAMOND: The DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains. Accepted in Progress in Earth and Planetary Science, 2019.

[34] Masaki Satoh, Bjorn Stevens, Falko Judt, Marat Khairoutdinov, Shian-Jiann Lin, William Putman, Peter Dueben. Global Cloud-Resolving Models. Accepted in Current Climate Change Reports, 2019.

[33] Sam Hatfield, Matthew Chantry, Peter Dueben, Tim Palmer. Accelerating high-resolution weather and climate models with deep-learning hardware. PASC Proceedings, Best Paper Award, 2019.

[32] Milan Kloewer, Peter D. Dueben, Tim Palmer. Posits as an alternative to floats for weather and climate models. Accepted in CoNGA, 2019.

[31] Aneesh C. Subramanian, Stephan Juricke, Peter D. Dueben and Tim Palmer. A Stochastic Representation of Sub-Grid Uncertainty for Dynamical Core Development. Accepted in Bulletin of the American Meteorological Society, 2019.

[30] Philipp Neumann, Peter D. Dueben, Panagiotis Adamidis, Peter Bauer, Matthias Brueck, Luis Kornblueh, Daniel Klocke, Bjorn Stevens, Nils Wedi and Joachim Biercamp. Assessing the scales in numerical weather and climate predictions: Will Exascale be the rescue? Accepted in Philosophical Transactions of the Royal Society A, 2018

[29] Peter D. Dueben. A new number format for ensemble simulations. Accepted in Journal of Advances in Modeling Earth Systems, 2018

[28] Peter D. Dueben, Martin Leutbecher and Peter Bauer.  New methods for data storage of model output from ensemble simulations. Accepted in Monthly Weather Review, 2018

[27] Matthew Chantry, Tobias Thornes, Peter D. Dueben and Tim Palmer. Scale-selective precision for weather and climate forecasting. Accepted in Monthly Weather Review, 2018

[26] Peter D. Dueben and Peter Bauer.  Challenges and design choices for global weather and climate models based on machine learning. Geoscientific Model Development, 11, 10, 3999-4009, 2018

[25] Samuel Edward Hatfield, Peter D. Dueben, Matthew Chantry, Keiichi Kondo, Takemasa Miyoshi, Tim Palmer. Choosing the optimal numerical precision for data assimilation in the presence of model error. Journal of Advances in Modeling Earth Systems, 10, 2177-2191, 2018

[24] Tobias Thornes, Peter Dueben, Tim Palmer. A Power Law for Reduced Precision at Small Spatial Scales: Experiments with an SQG Model. Quarterly Journal of the Royal Meteorological Society, 144:1179-1188, 2018

[23] Samuel Edward Hatfield, Aneesh Subramanian, Tim Palmer, Peter D. Dueben. Improving weather forecast skill through reduced precision data assimilation. Monthly Weather Review, 146 (1), 49-62, 2018

[22] Francis P. Russell, Peter D. Dueben, Xinyu Niu, Wayne Luk, T.N. Palmer. Exploiting the chaotic behaviour of atmospheric models with reconfigurable architectures. Computer Physics Communications, 221, 160-173, 2017

[21] Targett, JS, Dueben, X, Luk, W. Validationg optimisations for chaotic simulations, Field Programmable Logic and Application (FPL), 2017

[20] Andrew Dawson and Peter D. Dueben. rpe v5: An emulator for reduced floating-point precision in large numerical simulations. Geoscientific Model Development, 10 (6), 2221-2230, 2017

[19] Stephen Jeffress, Peter D. Dueben, T.N. Palmer. Bitwise Efficiency in Chaotic Models. Proceedings A of the Royal Society A, 473 (2205), 20170144, 2017

[18] Peter D. Dueben and A. Dawson. An approach to secure weather and climate models against hardware faults. Journal of Advances in Modeling Earth Systems, 9 (1), 501-513, 2017

[17] Peter D. Dueben, A. Subramanian, A. Dawson and T. N. Palmer. A study of reduced precision to make superparametrisation more competitive using a hardware emulator in the OpenIFS model. Journal of Advances in Modeling Earth Systems, 9 (1), 566-584, 2017

[16] Andrew Dawson,  Peter D. Dueben, David MacLeod and Tim Palmer. Reliable low precision simulations in land surface models. Climate Dynamics, 1-10, 2017.

[15] Tobias Thornes, Peter D. Dueben, and Tim Palmer. On the use of scale-dependent precision in Earth System modelling. Quarterly Journal of the Royal Meteorological Society, 143: 897-908, 2017

[14] Filip Váňa, Peter D. Dueben, Simon Lang, Tim Palmer, Martin Leutbecher, Deborah Salmond, and Glenn Carver. Single precision in weather forecasting models. Monthly Weather Review, 145 (2), 495-502, 2017

[13] Peter D. Dueben, Francis P. Russell, Xinyu Niu, Wayne Luk, and T. N. Palmer. On the use of programmable hardware and reduced numerical precision in earth-system modeling. Journal of Advances in Modeling Earth Systems, 7(3):1393–1408, 2015

[12] Peter D. Dueben and Stamen I. Dolaptchiev. Rounding errors may be beneficial for simulations of atmospheric flow: Results from the forced 1D Burgers equation. Theoretical and Computational Fluid Dynamics, 29(4):311–328, 2015

[11] Peter D. Dueben, Jeremy Schlachter, Parishkrati, Sreelatha Yenugula, John Augustine, Christian Enz, K. Palem, and T. N. Palmer. Opportunities for energy efficient computing: A study of inexact general  purpose processors for high-performance and big-data applications. Design Automation and Test in Europe (DATE), pages 764–769, 2015

[10] Francis P. Russell, Peter D. Dueben, Xinyu Niu, Wayne Luk, and T.N. Palmer. Architectures and precision analysis for modelling atmospheric variables with chaotic behaviour. IEEE 23rd Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 171–178, 2015

[9] James Targett, Stephen Jeffress, Xinyu Niu, Francis Russell, Peter D. Dueben, and Wayne Luk. Lower precision for higher accuracy: Precision and resolution exploration for shallow water equations. Proceedings of the International Conference on Field Programmable Technology (FPT), 2015

[8] Peter D. Dueben and T. N. Palmer. Benchmark tests for numerical weather forecasts on inexact hardware. Monthly Weather Review, 142:3809–3829, 2014

[7] Peter D. Dueben, Jaume Joven, Avinash Lingamneni, Hugh McNamara, Giovanni De Micheli, Krishna V.  Palem, and T. N. Palmer. On the use of inexact, pruned hardware in atmospheric modelling. Philosophical Transactions of the Royal Society A, 372(2018), 2014

[6] Peter D. Dueben and Peter Korn. Atmosphere and ocean modeling on grids of variable resolution - a 2d case study. Monthly Weather Review, 142:1997–2017, 2014

[5] Tim Palmer, Peter D. Dueben, and Hugh McNamara. Stochastic modelling and energy-efficient computing for weather and climate prediction. Philosophical Transactions of the Royal Society A, 372(2018), 2014

[4] Peter D. Dueben, Hugh McNamara, and T.N. Palmer. The use of imprecise processing to improve accuracy in weather & climate prediction. Journal of Computational Physics, 271(0):2–18, 2014.

[3] Peter D. Dueben, Peter Korn, and Vadym Aizinger. A discontinuous/continuous low order finite  element shallow water model on the sphere. Journal of Computational Physics, 231(6):2396–2413,  2012

[2] Peter D. Dueben, D. Homeier, G. Münster, K. Jansen, and D. Mesterhazy. Monte Carlo approach to turbulence. 27. International Symposium on Lattice Field Theory, Beijing, China, 41, 2009

[1] Peter D. Dueben, D. Homeier, K. Jansen, D. Mesterhazy, G. Münster, and C. Urbach. Monte Carlo simulations of the randomly forced burgers equation. Europhysics Letters, 84(4):40002, 2008

Other publications

Main and co-authors of deliverables 2.2, 2.6, 2.7 and 2.8 of the ESiWACE H2020 project.

Peter D. Dueben, Michail Diamantakis, Simon Lang, Sami Saarinen, Irina Sandu, Nils Wedi and Tomas
Wilhelmson. Progress in using single precision in the IFS. ECMWF Newsletter, 2018.

Peter D. Dueben. Speeding up weather forecasts by using single precision computer calculations. ECMWF Science blog, 2018.

Filip Vana, Glenn Carver, Peter D. Dueben, Simon Lang, Tim Palmer, Martin Leutbecher, and Deborah Salmond. Single-precision IFS. ECMWF Newsletter, 148, 2016

Glenn Carver and Peter D. Dueben. Third OpenIFS user meeting held at ECMWF. ECMWF Newsletter, 144, 2015

Peter D. Dueben, Stephen Jeffress, and T. N. Palmer. Inexact hardware for numerical simulations of weather and climate: What is possible, why it is useful and how to do it. Proceedings of the Emerging Technology Conference (EMIT) 2015, 2015

Peter D. Dueben and Peter Korn. A study on boundary separation in an idealized ocean model. arXiv:1507.03080, 2015

Peter D. Dueben and Peter Korn. The representation of boundary currents in a finite element shallow water model. arXiv:1502.00784, 2015

 

thumbnail photo of Peter Dueben
Projects: 
Contact Details:
peter . duebenecmwf . int
Tel. +44 (0) 118 9499784