Publications at Google Scholar

Dillon, M. E., A. Amemiya, P. Maldonado, J. Ruiz, G. Casaretto, F. Cutraro, M. Pulido, S. Otsuka, M. Alvarez Imaz, M. Cancelada, J. Gacitua Gutierrez, C. Matsudo, S. Righetti, M. Rugna, M. Sacco, Y. García Skabar, and T. Miyoshi: Assessment of two ensemble-based rapid-update data assimilation and short-range numerical weather prediction systems for Argentina. In press in J. Meteor. Soc. Japan.

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. In press in Quarterly Journal of the Royal Meteorological Society

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. Quarterly Journal of the Royal Meteorological Society, DOI 10.1002/qj.70270

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

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

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

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

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

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, 2020: An international assessment of the COVID-19 pandemic using ensemble data assimilation. Foundations of Data Science . doi: 10.3934/fods.2021001

Tandeo P., P. Ailliot, M. Bocquet, A. Carrassi, T. Miyoshi, M. Pulido, Y. Zhen, 2020: Joint Estimation of Model and Observation Error Covariance Matrices in Data Assimilation: A review. Mon. Wea. Rev.l, 148, 3973--3994, https://arxiv.org/pdf/1807.11221

Cocucci, T.J., Pulido, M., Lucini, M. and Tandeo, P., 2020. Model error covariance estimation in particle and ensemble Kalman filters using an online expectation-maximization algorithm. Q. J. Roy. Met. Soc. doi DOI: 10.1002/qj.3931. arXiv preprint arXiv:2003.02109

Scheffler G., J. Ruiz and M. Pulido, 2019: Inference of stochastic parameterizations for model error treatment using nested ensemble Kalman filters. Q. J. Roy. Met. Soc. doi 10.1002/qj.3542 https://arxiv.org/pdf/1807.10858

Pulido M., and P. J. vanLeewen, 2019: Sequential Monte Carlo with kernel embedded mappings: The mapping particle filter. Journal of Computational Physics , 396, 400-415. doi: 10.1016/j.jcp.2019.06.060

Pulido M., P. J. vanLeewen and D. J. Posselt, 2019: Kernel embedded nonlinear observational mappings in the variational mapping particle filter. Lecture Notes on Computational Sciences, ICCS-2019, 141--155. 10.1007/978-3-030-22747-0 https://arxiv.org/pdf/1901.10426

Scheffler G., M. Pulido and C. Rodas, 2018: The Role of Gravity Wave Drag Optimization in the Splitting of the Antarctic Vortex in the 2002 Sudden Stratospheric Warming. Geophysical Research Letters doi 10.1029/2018GL077993

Pulido M., P. Tandeo, M. Bocquet, A. Carrassi and M. Lucini, 2018: Parameter estimation in stochastic multi-scale dynamical systems using expectation-maximization and Newton-Raphson maximum likelihood methods. Tellus. 70 , 1442099. doi 10.1080/16000870.2018.1442099 arxiv

Rodas C. and M. Pulido 2017: A climatology of Rossby wave generation in the middle atmosphere of the Southern hemisphere from MERRA reanalysis. J. Geophys. Res. , 122, 8982--8997 doi: 10.1002/2017JD026597

Lguensat R., P Tandeo, P Ailliot, M Pulido, R Fablet, 2017: The analog data assimilation. Mon. Wea. Rev. 145, 4093-4107 doi: 10.1175/MWR-D-16-0441.1

Scheffler G. and M. Pulido 2017: Estimation of gravity wave parameters to alleviate the delay in stratospheric final warmings of general circulation models. Q. J. Roy. Meteorol. Soc. , 143 , 2157--2167. doi: 10.1002/qj.3074

Pulido M. and O. Rosso, 2017: Model selection: Using information measures from ordinal symbolic analysis to select model sub-grid scale parameterizations. J. Atmos. Sci. , 74 , 3253--3269. doi: 10.1175/JAS-D-16-0340.1

Dreano D., P. Tandeo, M. Pulido, B. Ait-El-Fquih, T. Chonavel and I. Hoteit, 2017: Estimation of error covariances in nonlinear state-space models using the Expectation Maximization algorithm. Q. J. Roy. Meteorol. Soc. , 142 , 1877-1885. doi: 10.1002/qj.3048

Polavarapu S. and M. Pulido 2017: Stratospheric and Mesospheric Data Assimilation: The role of middle atmospheric dynamics. Chapter book Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications Vol. III, 429-454.. edited by Springer. doi: 10.1007/978-3-319-43415-5_19 pdf

Pulido M., G. Scheffler, J. Ruiz, M. Lucini and P. Tandeo, 2016: Estimation of the functional form of subgrid-scale schemes using ensemble-based data assimilation: a simple model experiment. Q. J. Roy. Meteorol. Soc. , 142 , 2974-2984. doi: 10.1002/qj.2879.

Hannart A., A. Carrassi, M. Bocquet, M. Ghil, P. Naveau, M.Pulido, J. Ruiz, P. Tandeo, 2016: DADA: Data assimilation for the detection and attribution of weather- and climate-related events. Climate Change, 136: 155. doi:10.1007/s10584-016-1595-3 pdf

Sun J., C. J. Nappo, L. Mahrt, D. Belusic, B. Grisogono, D. R. Stauffer, M. Pulido, C. Staquet, Q. Jiang, A. Pouquet, C. Yague, B. Galperin, R. B. Smith, J. J. Finnigan, S. D. Mayor, G. Svensson, A. A. Grachev, and W. D. Neff, 2015: Review of Wave-Turbulence Interactions in the Stable Atmospheric Boundary Layer. Review in Geophysics. doi:10.1002/2015RG000487 . pdf

Scheffler G. and M. Pulido, 2015: Compensation between resolved and unresolved wave drag in the stratospheric final warmings of the Southern hemisphere. J. Atmos. Sci. pdf

Ruiz, J. J., and M. Pulido, 2015: Parameter Estimation Using Ensemble-Based Data Assimilation in the Presence of Model Error. Monthly Weather Review. . 143 , 1568-1582. DOI 10.1175/MWR-D-14-00017.1. pdf

Tandeo P., M. Pulido and F. Lott, 2015: Offline estimation of subgrid-scale orographic parameters using EnKF and maximum likelihood error covariance estimates. Q. J. Roy. Meteorol. Soc. 141 , 383-395 pdf

Rodas, C, and M. Pulido, 2014: The Breaking of Transience Inertio-Gravity Waves in a Shear Flow using Gaussian Beam Approximation Journal of Fluid Mechanics. 759, 676-700. pdf

Pulido, M. 2014: A simple technique to infer the missing gravity wave drag in a general circulation model: Potential vorticity budget. Journal of Atmospheric Sciences . 71, 453-469. pdf

Ruiz J., M. Pulido and T. Miyoshi, 2013: Estimating parameters with ensemble-based data assimilation: Parameter covariance treatment. J. Meteorol. Soc. Japan. 91, 453-469. pdf

Ruiz, J. J., M. Pulido, and T. Miyoshi, 2013: Estimating model parameters with ensemble-based data assimilation: A review. J. Meteorol. Soc. Japan, 91, 79-99. doi:10.2151/jmsj.2013-201. Invited review article. pdf

Pulido M., C. Rodas, D. Dechat, and M. Lucini, 2013: High Gravity Wave Activity Observed in Patagonia, Southern America: Generation by a Cyclone Passage over Andes Mountain Range. Q. J. Roy. Meteorol. Soc. , 139 , 451-466. DOI: 10.1002/qj.1983. pdf

Pulido M., S. Polavarapu, T. Shepherd and J. Thuburn, 2012: Estimation of optimal gravity wave parameters for climate models using data assimilation. Q. J. Roy. Meteorol. Soc. , 138 , 298-309. DOI: 10.1002/qj.932. pdf

Pulido M. and C. Rodas, 2011: A Higher Order Ray Approximation applied to Orographic Gravity Waves: Gaussian Beam Approximation. J. Atmos. Sci., 68 , 46-60. doi: 10.1175/2010JAS3468.1 . pdf

Alexander, M. J., M. Geller, C. McLandress, S. Polavarapu, P. Preusse, F. Sassi, K. Sato, S. Eckermann, M. Ern, A. Hertzog, Y. Kawatani, M. Pulido, T. Shaw, M. Sigmond, R. Vincent, S. Watanabe, 2010: Recent Developments in Gravity Wave Effects in Climate Models, and the Global Distribution of Gravity Wave Momentum Flux from Observations and Models. Q. J. Roy. Meteorol. Soc. , 136, 1103-1124. pdf

Pulido M. and J. Thuburn, 2008: The seasonal cycle of gravity wave drag in the middle atmosphere. J. Climate , 21, 4664-4679. pdf Pulido M. and J. Thuburn, 2009: Corregindum. J. Climate , 22 , 2572-2572.

Pulido M. and C. Rodas, 2008: Do transience gravity waves in a shear flow break?. Q. J. Roy. Meteorol. Soc., 131 , 1215-1232. pdf

Pulido M. and J. Thuburn, 2006: Gravity wave drag estimation from global analyses using variational data assimilation principles. II: Case study. Q. J. R. Meteor. Soc. 132, 1527-1543. pdf

Pulido M. and H. Teitelbaum, 2006: Gravity wave generation and breaking observed with radiosondes at Ushuaia (Argentina), Proceedings of 8th ICSHMO, AMS , 627-632. ISBN 85-17-00023-4. pdf

Pulido M. 2005: On the Doppler shifting effect in an atmospheric gravity wave spectrum. Q. J. Roy. Meteorol. Soc., 131 , 1215-1232. pdf

Pulido M. and J. Thuburn, 2005: Gravity wave drag estimation from global analyses using variational data assimilation principles. I: Theory and implementation. Q. J. Roy. Meteorol. Soc., 131, 1821-1840. pdf

Rodas C. y M. Pulido, 2005: Los efectos de la viscocidad en la deposición de momento de ondas de gravedad transitorias. Anales de la AFA, 17, 144-147. pdf

Pulido M. y C. Rodas, 2005: La inestabilidad convectiva en ondas de gravedad transitorias. Proceedings de CLIMET (Congreso Latinoamericano e Iberico de Meteorologia , Buenos Aires, 4-7 Octubre. 8 pp. pdf

Pulido M., 2002: Spectral differences between a single gravity shear wave and a continuous superposition of modes. Atmospheric Science Letters, 3 , 104-111. pdf

Pulido M. and G. Chimonas, 2001: Forest canopy waves: The long wavelength component Boundary layer meteorology, 100, 209-224. pdf

Pulido M., N. Castellano y G. Caranti, 2001: Perturbaciones estacionarias sobre bosques ralos. Proceedings de CLIMET (Congreso Latinoamericano e Iberico de Meteorologia IX May 2001. 9pp. pdf

Pulido M. and G. Caranti, 2000: Spectral tail in a gravity wave train propagating in a shearing background. J. Atmos. Sci. , 57, 1473-1478. pdf

Pulido M. and G. Caranti, 2000: The vertical wavenumber power spectrum resulting from the propagation of a gravity wave spectrum under nonlinear advective interactions. Proceedings of the SPARC 2nd. General Assembly Nov. 2000. link

Pulido M. and G. Caranti, 2000: The convective instability in a nonlinear gravity wave approach. Proceedings of the SPARC 2nd. General Assembly , Nov. 2000. 8pp. link

Pulido M. and G. Caranti, 2000: Power spectrum of a gravity wave propagating in a shearing background, Geophys. Res. Lett., 27,101-104. pdf

Pulido M. and G. Caranti, 2000: Estimaciones de las Densidades Espectrales en las Irregularidades del Viento para la Campa\~na Pyrex. Anales de la Asociacion de Fisica Argentina. pdf

Pulido M., N. Castellano and G. Caranti, 2000: Perturbaciones en flujos sobre terrenos con variacion de la textura, Anales de la Asociacion de Fisica Argentina . pdf

Pulido M. and G. Caranti, 1998: Mediciones de efectos no ondulatorios en la cola del espectro de irregularidades del viento, Anales de la Asociacion de Fisica Argentina, 10, 376-379.

Pulido M. and G. Caranti, 1998: Climatologia de ondas de gravedad en el limite del vortice antartico, Anales de la Asociacion de Fisica Argentina, 10, 380-383.

Masuelli S., M. Pulido, M. Scavuzzo, and G. Caranti, 1998: Graupel trajectories and charging: a new numerical approach for cloud electrification studies. Q. J. R. Meteor. Soc., 124, 1329-1341. . pdf

Pulido M., M. Lamfri, M. Scavuzzo y G. Caranti, 1997: Estudio de parametros para caracterizar las ondas de gravedad, Anales de la Asociacion de Fisica Argentina, 9, 374-378.

Pulido M., M. Lamfri, M. Scavuzzo y G. Caranti, 1997: Analisis espectral de una onda de gravedad simple, Anales de la Asociacion de Fisica Argentina, 9, 379-383.

Pulido M., S. Masuelli, M. Scavuzzo y G. Caranti, 1997: Estudio de sensibilidad en zonas criticas de un diagrama de cargado. Anales de la Asociacion de Fisica Argentina, 9, 369-373.

Pulido M., S. Masuelli, M. Scavuzzo y G. Caranti, 1996: Un camino alternativo para el estudio de la electrificacion de tormentas. Modelo y resultados preliminares. Anales Asociacion de Fisica Argentina, 8, 218-222.