Carlos Pires

Senior Researcher


Instituto Dom Luiz
Faculdade de CiÍncias, Universidade de Lisboa
Campo Grande, Edf. C8, Piso 3, Sala 8.3.34
1749-016 Lisboa

Areas of Scientific activity

Meteorology, Climatology, Statistics, Dynamical Systems, Data assimilation



Ribeiro A.F.S., Pires C.A.L. (2015) Seasonal drought predictability in Portugal using statisticalĖdynamical techniques. Phys. Chem. Earth., doi:10.1016-j.pce.2015.04.003


Pires C., Perdig„o R. (2014) Non-Gaussian interaction information: estimation, optimization and diagnostic application of triadic wave resonance. Nonlin. Processes Geophys. Discuss., 1, 1539Ė1602, 2014, doi:10.5194/npgd-1-1539-2014.


Pires C., Perdig„o R.A.P. (2013) Minimum Mutual Information and Non-Gaussianity through the Maximum Entropy Method: Estimation from Finite Samples. Entropy 2013, 15(3), 721-752, doi:10.3390/e15030721

Berre L., Monteiro M.J., Pires C.A. (2013) An impact study of updating background error covariances in the ALADIN-France data assimilation system. Journal of Geophysical Research - Atmospheres, 118, 1-12, doi:10.1002/jgrd.50847


Pires C.A., Perdig„o R.A.P. (2012) Minimum Mutual Information and Non-Gaussianity Through the Maximum Entropy Method: Theory and Properties. Entropy, 14, 1103-1126. doi:10.3390/e14061103, URL:


Pires C.A., Talagrand O., Bocquet M. (2010) Diagnosis and impacts of non-Gaussianity of innovations in data assimilation. PHYSICA D-NONLINEAR PHENOMENA, 239, 17, 1701-1717, doi:10.1016/j.physd.2010.05.006

Bocquet M., Pires C.A., Wu L. (2010) Beyond Gaussian Statistical Modeling in Geophysical Data Assimilation. MONTHLY WEATHER REVIEW, 138, 8, 2997-3023, doi:10.1175/2010MWR3164.1