Michail Diamantakis

Senior Scientist
Research Department, Earth System Modelling Section, Numerical Methods Group

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Michail Diamantakis joined the ECMWF research department in July 2011. He is a senior scientist and the team leader of the Numerical Methods  group of the Earth System Modelling section. He has a background in numerical analysis and scientific computing and long working experience in Numerical Weather Prediction.

Professional interests: 
  • Numerical methods for atmospheric dynamics and non-linear diffusion solvers
  • Semi-Lagrangian atmospheric transport and mass conservation
  • Dynamical core development
  • Tangent linear models
  • Computational Fluid Dynamics, Scientific & High Performance Computing
  • Time-stepping schemes for differential equations
Career background: 

Michail Diamantakis received his undergraduate degree in Mathematics from the University of Ioannina, Greece in 1990, an M.Sc. in Computing Science (1991) and a PhD in Numerical Analysis (1995) both from Imperial College London. Between 1997-1999 he worked as a Research Associate in the Centre for Process Systems Engineering at Imperial College developing industrial solvers for large sparse mixed systems of differential-algebraic equations. His work was incorporated in the state-of-the-art process modelling software gPROMS used by many leading chemical, pharma, food, and energy companies for process design and simulation. He joined the UK Met Office as a research scientist in 1999. After completing the graduate training programme in Meteorology he worked in NWP and climate modelling focusing in the development, maintenance and validation of the "New Dynamics" and "ENDGame" semi-Lagrangian semi-implicit dynamical cores, research in numerical methods for atmospheric modelling and the coupling of dynamics with physics. Between 2008-2011 he worked in the private sector in London, initially as a senior weather CAT risk modeller and later on as a senior computational fluid dynamics software engineer. He joined the research department at ECMWF in 2011 as a senior scientist and in 2016 he became the team leader of the Numerical Methods group. His current area of work includes, development and maintenance of the ECMWF model spectral semi-implicit semi-Lagrangian dynamical core,  transport equation schemes, improving scalability of numerical methods, aspects of tangent-linear models related to the dynamical core and research in numerical techniques for atmospheric modelling in general.

  • G. Mengaldo, A. Wyszogrodzki, M. Diamantakis, S-J Lock, F.X. Giraldo, N.P. Wedi, Current and Emerging Time-Integration Strategies in Global Numerical Weather and Climate Prediction, Archives of Computational Methods in Engineering, 2018, https://doi.org/10.1007/s11831-018-9261-8

  • W. Deconinck, P. Bauer, M. Diamantakis, M. Hamrud, C. Kühnlein, P. Maciel, G. Mengaldo, T. Quintino, B. Raoult, PK Smolarkiewicz, NP Wedi. Atlas: A library for numerical weather prediction and climate modelling, Computer Physics Communications 220, 188-204, 2017.

  • H. Xiao, M. Diamantakis and S. Saarinen. An OpenACC GPU adaptation of the IFS cloud microphysics scheme, ECMWF Technical Memoranda (805) 2017.

  • A. Agusti-Panareda, M. Diamantakis, V. Bayona, F. Klappenbach, A. Butz. Improving the inter-hemispheric gradient of total column atmospheric CO 2 and CH 4 in simulations with the ECMWF semi-Lagrangian atmospheric global model, Geoscientific Model Development 10 (1), 1-18, 2017.

  • M. Diamantakis and L. Magnusson. Sensitivity of IFS to Semi-Lagrangian departure point iterations, Monthly Weather Review 144 (9), 3233-3250, 2016.

  • S. Malardel, N. Wedi, W. Deconinck, M. Diamantakis, C. Kühnlein, G. Mozdzynski, M. Hamrud, P. Smolarkiewicz. A new grid for the IFS, ECMWF Newsletter, 23-28, 2016.

  • NP Wedi, P Bauer, W Denoninck, M Diamantakis, M Hamrud, C Kuhnlein, S Malardel, K Mogensen, G Mozdzynski, PK Smolarkiewicz. The modelling infrastructure of the Integrated Forecasting System: Recent advances and future challenges, ECMWF Technical Memoranda (760) 2015

  • J Flemming, V Huijnen, J Arteta, P Bechtold, A Beljaars, AM Blechschmidt, M Diamantakis, RJ Engelen, A Gaudel, A Inness, L Jones, B Josse, E Katragkou, V Marecal, VH Peuch, A Richter, MG Schultz, O Stein, A Tsikerdekis. Tropospheric chemistry in the Integrated Forecasting System of ECMWF, Geosci. Model Dev., 8, 975–1003, doi: 10.5194, 2015.

  • M. Diamantakis, and J. Flemming. Global mass fixer algorithms for conservative tracer transport in the ECMWF model. Geosci. Model Dev., Vol 7, 2014.

  • M. Diamantakis. Improving ECMWF forecasts of sudden stratospheric warmings, ECMWF Newsletter,  No. 141, Autumn 2014.

  • Nigel Wood, Andrew Staniforth, Andy White, Thomas Allen, Michail Diamantakis, Markus Gross, Thomas Melvin, Chris Smith, Simon Vosper, Mohamed Zerroukat and John Thuburn. An inherently mass-conserving semi-implicit semi-Lagrangian discretization of the deep-atmosphere global non-hydrostatic equations, Q.J.R.Meteorol.Soc., Vol 140, 2014.

  • E. Dutra, M. Diamantakis. I. Tsonevsky, E. Zsoter, F. Wetterhall, T. Stockdale, D. Richardson and F. Pappenberger. The extreme forecast index at the seasonal scale. Atmos. Sci. Letters, Vol 14, 2013.

  • M. Diamantakis. The semi-Lagrangian technique in atmospheric modelling: current status and future challenges, ECMWF Annual Seminar 2013 Proceedings,  http://www.ecmwf.int/en/learning/workshops-and-seminars/past-workshops/2...

  • Nigel Wood, Michail Diamantakis and Andrew Staniforth. A monotonically-damping second-order-accurate unconditionally-stable numerical scheme for diffusion, Q.J.R.Meteorol.Soc., Vol 133, 2007.

  • M. Diamantakis, T. Davies and N. Wood. An iterative time-stepping scheme for the Met Office's semi-implicit semi-Lagrangian non-hydrostatic model, Q.J.R.Meteorol.Soc., Vol 133, 2007.

  • M. Diamantakis, N. Wood, T. Davies. An improved implicit predictor-corrector scheme for boundary layer vertical diffusion, Q.J.R.Meteorol.Soc., Vol 132, 2006.

  • T. Davies, M. Diamantakis, A.J. Malcolm. Moist NWP equations and missing terms, conference proceedings, 15th AMS conference on Numerical Weather Prediction, August 2002, San Antonio, Texas, USA, https://ams.confex.com/ams/pdfpapers/47329.pdf

  • T. Abdulla, J.R. Cash, M.T. Diamantakis. An MEBDF package for the numerical solution of large sparse systems of stiff initial value problems, Computers and Mathematics with Applications, Vol. 42, 2001.

  • M.T. Diamantakis, C.C. Pantelides. SRADAU: A fully-implicit integrator for large, sparse systems of differential-algebraic equations, Centre for Process Systems Engineering Report Series No.: D99.4, Imperial College, London, UK

  • J.C. Butcher and M.T. Diamantakis. DESIRE: Diagonally Extended Singly Implicit Runge-Kutta Effective order methods, Numerical Algorithms, Vol. 17, 1998.

  • J.C. Butcher, J.R. Cash, M.T. Diamantakis. DESI methods for stiff initial value problems, ACM TOMS, Vol. 22, 1996.

  • M.T. Diamantakis. The NUMOL solution of time dependent PDEs using DESI Runge-Kutta formulae, Journal of Applied Numerical Mathematics, Vol. 17, 1995.

  • J.R. Cash, M.T. Diamantakis. On the implementation of Block Runge-Kutta methods for stiff IVPs, Annals of Numerical Mathematics,Vol. 1, 1993.