Article

Van Leeuwen, P. J. ORCID: https://orcid.org/0000-0003-2325-5340, DeCaria, M., Chakraborty, N. and Pulido, M. (2021) A framework for causal discovery in non-intervenable systems. Chaos: An Interdisciplinary Journal of Nonlinear Science, 31 (12). 123128. ISSN 1089-7682 doi: https://doi.org/10.1063/5.0054228

Evensen, G., Amezcua, J., Bocquet, M., Carrassi, A. ORCID: https://orcid.org/0000-0003-0722-5600, Farchi, A., Fowler, A. ORCID: https://orcid.org/0000-0003-3650-3948, Houtekamer, P. L., Jones, C. K., de Moraes, R. J., Pulido, M., Sampson, C. and Vossepoel, F. C. (2021) An international initiative of predicting the Sars-Cov-2 pandemic using ensemble data assimilation. Foundations of Data Science, 3 (3). pp. 413-477. ISSN 2639-8001 doi: https://doi.org/10.3934/fods.2021001

Pulido, M. and van Leeuwen, P. J. (2019) Sequential Monte Carlo with kernel embedded mappings: the mapping particle filter. Journal of Computational Physics, 396. pp. 400-415. ISSN 0021-9991 doi: https://doi.org/10.1016/j.jcp.2019.06.060

Scheffler, G., Pulido, M. and Rodas, C. (2018) The role of gravity wave drag optimization in the splitting of the Antarctic vortex in the 2002 sudden stratospheric warming. Geophysical Research Letters, 45 (13). pp. 6719-6725. ISSN 0094-8276 doi: https://doi.org/10.1029/2018gl077993