Manuel Pulido

Profesor Titular
Department of Physics
FaCENA, Universidad Nacional del Nordeste

Investigador Principal CONICET
Instituto de Modelado e Innovación Tecnológica
UMI-IFAECI CNRS/CONICET

Research Interests

  • Machine learning in geophysical sciences.
  • Data assimilation (4dVar, EnKF and PFs).
  • Atmospheric gravity waves.

    • Teaching.

  • Machine learning - Curso de postgrado.

  • Programacion con python.

  • Electromagnetismo.

    • News.

  • We have signed a collaboration agreement with Tribunal Superior de Justicia del Chaco for the development of an IA platform Justicia Eficiente con Inteligencia Artificial (JEIA). Further details in JEIA . December 2025.

  • We have signed a collaboration agreement with IJ-International Legal Group S. A. for collaboration in developing large language models toos in the legal domain. April 2025.

  • We have signed a collaboration agreement with Blaquier for the developtment of prediction tools for statistical arbitrage for finantial trading based on the ensemble Kalman filter. April 2025.

  • We have signed a collaboration agreement with Shipnow S.R.L. for developing machine learning tools for package transport optimization. April 2022 - Renewed in 2024.

    • Recent publications

  • Gacitúa J., J. Ruiz, M. Pulido, L. Cabello, M. Dillon, Y. Garcia Skabar, S. Otsuka, A. Amemiya, A. Dhiel, T. Miyoshi, R. Pajarola, 2026. Tempered Ensemble Kalman Filter for strongly nonlinear observation operators. Accepted in Quarterly Journal of the Royal Meteorological Society

  • Lott F, P Tandeo, M Pulido, D Bardet, 2026. EnKF and EM based parameter estimation of a convective gravity wave parameterization using Strateole 2 constant level balloon data. Accepted in Quarterly Journal of the Royal Meteorological Society

  • Guerrieri, J.M., Pulido, M., Miyoshi, T., Amemiya, A. and Ruiz, J.J., 2026. Localization in the mapping particle filter. Nonlinear Processes in Geophysics, , , 33, 33-49. DOI 10.5194/npg-33-33-2026

  • Ruscica, R., Salvia, M., Cappelletti, L., Lozza, H., Pulido, M., Obregón, F.M. and Jobbágy, E., 2025. Dinámica del agua subsuperficial durante la sequía 2019-2023 en el sudeste de Córdoba. Meteorologica, , e043-e043. . DOI 10.24215/1850468Xe043

  • Rosa, S., Pulido, M.A., Ruiz, J.J. and Cocucci, T.J., 2025. Transmission matrix parameter estimation of COVID-19 evolution with age compartments using ensemble-based data assimilation. PloS one, , ,20, p.e0318426. doi: 10.1371/journal.pone.0318426

  • Vargas F, A. González Coene, G. Escalante, E. Lobón and M. Pulido 2025: The impact of LLaMA fine tuning on hallucinations for name entity extraction in legal documents. SADIO Electronic Journal of Informatics and Operations Research (EJS) , 24 DOI: 10.24215/15146774e068

  • Obregón F. M., M. Pulido and M. Lucini. 2024: Soil Moisture Estimation in the Argentinian Pampas Using Data Assimilation of SMAP and SMOS Retrievals. 2024 IEEE Biennial Congress of Argentina (ARGENCON), 1 - 8 DOI: 10.1109/ARGENCON62399.2024.10735721

  • Sacco MA, M Pulido, JJ Ruiz, P Tandeo, 2024: Online machine-learning forecast uncertainty estimation for sequential data assimilation. Quarterly Journal of the Royal Meteorological Society. doi.org/10.1002/QJ.4743 arXiv preprint arXiv:2305.08874

  • 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