Carlos Alberto Leitão Pires
Carlos Alberto Leitão Pires
Instituto Dom Luiz, DEGGE , Faculdade de Ciências da Universidade de Lisboa
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Cited by
Cited by
Beyond Gaussian statistical modeling in geophysical data assimilation
M Bocquet, CA Pires, L Wu
Monthly Weather Review 138 (8), 2997-3023, 2010
On extending the limits of variational assimilation in nonlinear chaotic systems
C Pires, R Vautard, O Talagrand
Tellus A 48 (1), 96-121, 1996
20th century Portuguese climate and climate scenarios
P Miranda, FES Coelho, AR Tomé, MA Valente, A Carvalho, C Pires, ...
Climate change in Portugal: Scenarios, impacts and adaptation measures (SIAM …, 2002
Tsunami waveform inversion by adjoint methods
C Pires, PMA Miranda
Journal of Geophysical Research: Oceans 106 (C9), 19773-19796, 2001
Non-Gaussianity and asymmetry of the winter monthly precipitation estimation from the NAO
CA Pires, RAP Perdigão
Monthly weather review 135 (2), 430-448, 2007
Four-dimensional variational assimilation and predictability in a quasi-geostrophic model
K Swanson, R Vautard, C Pires
Tellus A: Dynamic Meteorology and Oceanography 50 (4), 369-390, 1998
Accuracy of daily estimation of grass reference evapotranspiration using ERA-Interim reanalysis products with assessment of alternative bias correction schemes
P Paredes, DS Martins, LS Pereira, J Cadima, C Pires
Agricultural Water Management 210, 340-353, 2018
Assessing reference evapotranspiration estimation from reanalysis weather products. An application to the Iberian Peninsula
DS Martins, P Paredes, T Raziei, C Pires, J Cadima, LS Pereira
International Journal of Climatology 37 (5), 2378-2397, 2017
Diagnosis and impacts of non-Gaussianity of innovations in data assimilation
CA Pires, O Talagrand, M Bocquet
Physica D: Nonlinear Phenomena 239 (17), 1701-1717, 2010
SPI drought class predictions driven by the North Atlantic Oscillation index using log-linear modeling
EE Moreira, CL Pires, LS Pereira
Water 8 (2), 43, 2016
Minimum mutual information and non-Gaussianity through the maximum entropy method: theory and properties
CAL Pires, RAP Perdigão
Entropy 14 (6), 1103-1126, 2012
Drought-related hot summers: A joint probability analysis in the Iberian Peninsula
AFS Ribeiro, A Russo, CM Gouveia, CAL Pires
Weather and Climate Extremes 30, 100279, 2020
Minimum mutual information and non-Gaussianity through the maximum entropy method: theory and properties
CAL Pires, RAP Perdigão
Entropy 14 (6), 1103-1126, 2012
Long-range atmospheric predictability using space–time principal components
R Vautard, C Pires, G Plaut
Monthly weather review 124 (2), 288-307, 1996
Independent subspace analysis of the sea surface temperature variability: non-Gaussian sources and sensitivity to sampling and dimensionality
CAL Pires, A Hannachi
Complexity 2017, 2017
Seasonal drought predictability in Portugal using statistical–dynamical techniques
AFS Ribeiro, CAL Pires
Physics and Chemistry of the Earth, Parts A/B/C 94, 155-166, 2016
Separation of the atmospheric variability into non-Gaussian multidimensional sources by projection pursuit techniques
CAL Pires, AFS Ribeiro
Climate Dynamics 48 (3), 821-850, 2017
Non-Gaussian interaction information: estimation, optimization and diagnostic application of triadic wave resonance
CAL Pires, RAP Perdigão
Nonlinear Processes in Geophysics 22 (1), 87-108, 2015
Statistical and dynamical long‐range atmospheric forecasts: experimental comparison and hybridization
J Sarda, G Plaut, C Pires, R Vautard
Tellus A 48 (4), 518-537, 1996
Probabilistic modelling of the dependence between rainfed crops and drought hazard
AFS Ribeiro, A Russo, CM Gouveia, P Páscoa, CAL Pires
Natural Hazards and Earth System Sciences 19 (12), 2795-2809, 2019
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