Manuel Pulido

Profesor Titular
Department of Physics
FaCENA, Universidad Nacional del Nordeste
Investigador Principal
Instituto de Modelado e Innovación Tecnológica
UMI-IFAECI CNRS/CONICET

Research Interests

  • Data assimilation (4dVar, EnKF and PFs).
  • Machine learning in geophysical sciences.
  • Physical subgrid-scale parameterizations.
  • Atmospheric gravity waves.
  • Climate model development.

    • Teaching.

  • Machine learning - Curso de postgrado.

  • Programacion con python.

  • Electromagnetismo.

    • News.

  • The research grant "PICT Extraordinario" from ANPCyT has been awarded to us to work on tools for forecasting precipitation using radar and satellite data. Awarded grants: PICT-2021-CAT-I-00130. 4 Feb 2022

  • We have signed a collaboration agreement with Shipnow S.R.L. for developing machine learning tools for package transport optimization. Scholarships will be available for students. Deadline for application submission: 1 April 2022

  • We are happy to announce we will be participating as part of a Japanese-Argentinean team in a SATREPS project (JST-JICA, Japan) entitled "Numerical Weather Prediction and Warning Communication System for Densely Populated and Vulnerable Cities".

  • Real time COVID-19 inference in Argentina Project COVID-CORR01 ANPCyT.

  • Two-year postdoctoral position available to work on particle flow filters.Project PICT 2019-3095 ANPCyT.

  • An inspiring session on Machine Learning for Data Assimilation will be held on-line at the International Symposium of Data Assimilation (ISDA) on December 3, 2021. We call for abstract submission. Deadline October 3. Conveners Nora Schenk, Marc Bocquet, Manuel Pulido, Lars Nerger.

  • We have signed an exciting collaboration agreement with Legalhub S.A. for developing machine learning tools for risk and responsability assesments. Scholarships will be available for students. Deadline for application submission: 1 May 2021

  • Potential authors are invited to contribute to the Special Issue of "Atmosphere/MDPI Journal" on "Gravity Waves in the Atmosphere" . Dr Xin Xu (Nanjing University, China), Dr Miguel Teixeira (University of Reading, UK), Dr Manuel Pulido (Universidad Nacional del Nordeste, Argentina, and University of Reading, UK), and Dr Junhong Wei (Sun Yat-sen University, China) are guest-editing this Special Issue of the journal "Atmosphere/MDPI". Deadline for submission: 1 May 2020 (Postponed until 1 November).

    • Recent publications

  • Scheffler G, Carrassi A, Ruiz J, Pulido M, 2022: Dynamical effects of inflation in ensemble-based data assimilation under the presence of model error. Quarterly Journal of the Royal Meteorological Society, ,148, 2368-2383. doi: 10.1002/qj.4307 arXiv preprint arXiv:2110.06769

  • Sacco MA, JJ Ruiz, M Pulido, P Tandeo, 2022: Evaluation of Machine Learning Techniques for Forecast Uncertainty Quantification. Quarterly Journal of the Royal Meteorological Society, 148, 3470-3490. doi 10.1002/qj.4362 arXiv preprint arXiv:2111.14844

  • Cocucci T, M Pulido, J Aparicio, J Ruiz, I Simoy, S Rosa, 2022: Inference in epidemiological agent-based models using ensemble-based data assimilation. PLoS ONE , 17, e0264892. doi 10.1371/journal.pone.0264892

  • Evensen G, J Amezcua , M Bocquet , A Carrassi, A Farchi , A Fowler , PL Houtekamer, CK Jones , RJ de Moraes, M Pulido , C Sampson, and FC Vossepoel, 2021: An international assessment of the COVID-19 pandemic using ensemble data assimilation. Foundations of Data Science . 3 , 413-477. doi: 10.3934/fods.2021001

  • Rodas C. and M. Pulido, 2021: Gravity wave focusing on the Antarctic polar vortex using Gaussian beam approximation in horizontally nonuniform flows Journal of Atmospheric Sciences, 78, 3836-3853 doi 10.1175/JAS-D-21-0066.1

  • van Leeuwen PJ, M. DeCaria, N Chakaborty and M Pulido, 2021: A new framework for causal discovery in non-intervenable systems. Chaos, 31, 123128 (2021) arXiv preprint arXiv:2010.02247 doi 10.1063/5.0054228

  • Lucini, M.M., van Leeuwen, P.J. and Pulido, M., 2021. Model uncertainty estimation using the expectation maximization algorithm and a particle flow filter. SIAM Jornal of Uncertainty Quantification, 9 , 681-707. doi:10.1137/19M1297300 arXiv preprint arXiv:1911.01511


    • Further information

    List of publications

    Publications at Google Scholar

    List of presentations

    Statement of research and projects

    Bio

    Most significant responsabilities

  • Elected member. ICMA-IUGG International commission of Middle Atmosphere International Union of Geophysics and Geodesics 2015-2023.
  • Elected Member. SPARC Scientific Steering Group of the World Climate Research Program . From 1/1/2011-31/12/2013.
  • Head of the Department of Physics. Exact Science School. Universidad Nacional del Nordeste 4/2015-5/2017.
  • One of the core members in the gravity wave momentum budget initiative (WCRP, SPARC) October, 2007-onwards.
  • Director of the PhD in Physics. Universidad Nacional del Nordeste (2013-2017).
  • Co-chair Earth Atmosphere Sciences Comission, ANPCyT, Ministry of Science, Argentina (2010).
  • PI CECONEA - UNNE high performance computer centre
  • Program committee - AGU Chapman Conference: Atmospheric Gravity Waves and Their Effects on General Circulation and Climate. Feb 2011. Honolulu, Hawaii (USA).
  • Scientific Committee. CLIVAR VAMOS Workshop on Modeling and Predicting Climate in the Americas. 4-6 June 2012. Petropolis, Brasil.
  • Scientific Committee. Workshop on Gravity Wave Dynamics and Interactions between Gravity Waves and Turbulence in the ABL. 18-22 July 2012, NCAR, Boulder Colorado (USA).
  • Invited speaker. Exploring the use of data assimilation methods for the detection and attribution of climate change (DADA) workshop. October 15-18,2012. Buenos Aires (Argentina).
  • Organizing Committee. A regional WCRP/SPARC Workshop with focus on the Southern Hemisphere and South America. November 26-27 , 2012. Buenos Aires (Argentina).
  • Invited speaker. XIX Conference on Nonequilibrium Statistical Mechanics and Nonlinear Physics (Medyfinol 2016). Valdivia Chile. 5-9 Dec 2016.
  • Keynote speaker. ISDA 2018. 6th International Symposium of Data Assimilation. Munich, Germany. 5-9 March 2018.
  • Scientific Committee. 11th International Conference on Nonlinear Mathematics and Physics. Malaga (Spain). June 2018.

    Colaborators (with joint publications)

  • Pierre Tandeo IMT, Brest France
  • Juan Ruiz, CIMA-IFAECI, Universidad de Buenos Aires, Argentina.
  • John Thuburn, University of Exeter, UK.
  • Takemasa Miyoshi, Riken, Japan.
  • Marc Bocquet, Universite Le Ponts Paris, France.
  • Alberto Carrassi, NANSEN Center, Norway.
  • Peter Jan van Leeuwen, Colorado State University, US.
  • Saroja Polavarapu, Department of Physics, University of Toronto and Environment Canada.
  • Ted Shepherd, Department of Physics, University of Toronto, Canada (now at University of Reading UK).
  • Francois Lott LMD, Escola Normale Superiore, Paris, France.
  • Hector Teitelbaum, LMD, Escola Normale Superiore, Paris, France.
  • George Chimonas, DEAS, Georgia Tech US.

    • Contact

    Facultad de Ciencias Exactas
    Universidad Nacional del Nordeste
    Av. Libertad 5400
    (3400) Corrientes
    Argentina
    +54 379 4473931 Ext 132