- Meteorologia , Climatologia , Estatística , Problema Inverso , Sistemas Dinâmicos
Carlos Alberto Pires
Contactos
Departamento de Engenharia Geográfica, Geofísica e EnergiaSala/Gabinete 8.3.39
Ext. Principal 28339
Telefone Direto 217500889
Email clpires@ciencias.ulisboa.pt
Página Pessoal
Carreira Docente Universitário
Categoria Professor Auxiliar
Indicadores
ResearcherIDOrcid
Scopus
Google Scholar
CiênciaVitae
Palavras Chave
Keywords
- Meteorology , Climatology , Statistics , Inverse Problem , Dynamical Systems
Interesses Científicos
Statistical Climatology, Natural Hazards, Nonlinear geophysics
Scientific Interests
Meteorology, Climatology, Nonlinear Statistics, Data assimilation, Dynamical Systems
Publicações selecionadas
- Pires C.A., Hannachi A. (2017). Independent Component Analysis of the Sea Surface Temperature Variability: Non-Gaussian Sources and Sensitivity to Sampling and Dimensionality. Complexity, Vol. 2017, Article ID 3076810, 23 pages. https://doi.org/10.1155/2017/3076810
- Carlos A. L. Pires & Abdel Hannachi (2021) Bispectral analysis of nonlinear interaction, predictability and stochastic modelling with application to ENSO, Tellus A: Dynamic Meteorology and Oceanography, 73:1, 1-30, DOI: 10.1080/16000870.2020.1866393
- Ribeiro A.; Pires C.A. (2016) Seasonal drought predictability in Portugal using statistical-dynamical techniques. Journal of Physics and Chemistry of the Earth 94 (2016) 155-166.http://dx.doi.org/10.1016/j.pce.2015.04.003
- Pires, C.A. and Miranda P., 2001. Tsunami Waveform Inversion by Adjoint Methods. Journal of Geophysical Research – Oceans,106, No. C9, 19773-19796. https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2000JC000334
- Pires, C.A., Vautard, R., Talagrand, O., 1996. On Extending the limits of Variational Assimilation in Nonlinear Chaotic Systems. Tellus, 48A, p. 96-121. https://www.tandfonline.com/doi/abs/10.3402/tellusa.v48i1.11634