People

Carlos Pires

Senior Researcher

Email: clpires@fc.ul.pt

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


Areas of Scientific activity

Meteorology, Climatology, Statistics, Dynamical Systems, Data assimilation

Publications

2015


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

2014


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.

2013


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

2012


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: http://www.mdpi.com/1099-4300/14/6/1103

2010


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