| Beyond Gaussian statistical modeling in geophysical data assimilation M Bocquet, CA Pires, L Wu Monthly Weather Review 138 (8), 2997-3023, 2010 | 280 | 2010 |
| 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 | 245 | 2002 |
| On extending the limits of variational assimilation in nonlinear chaotic systems C Pires, R Vautard, O Talagrand Tellus A 48 (1), 96-121, 1996 | 243 | 1996 |
| Tsunami waveform inversion by adjoint methods C Pires, PMA Miranda Journal of Geophysical Research: Oceans 106 (C9), 19773-19796, 2001 | 76 | 2001 |
| 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 | 63 | 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 | 63 | 2017 |
| 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 | 55 | 2020 |
| 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 | 50 | 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 | 49 | 1998 |
| 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 | 37 | 2010 |
| 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 | 34 | 2019 |
| 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 | 32 | 2016 |
| Minimum mutual information and non-Gaussianity through the maximum entropy method: theory and properties CAL Pires, RAP Perdigao Entropy 14 (6), 1103-1126, 2012 | 29* | 2012 |
| 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 | 27 | 2016 |
| 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 | 25 | 2015 |
| Independent Subspace Analysis of the Sea Surface Temperature Variability: Non‐Gaussian Sources and Sensitivity to Sampling and Dimensionality CAL Pires, A Hannachi Complexity 2017 (1), 3076810, 2017 | 22 | 2017 |
| 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 | 21 | 1996 |
| Long-range atmospheric predictability using space–time principal components R Vautard, C Pires, G Plaut Monthly weather review 124 (2), 288-307, 1996 | 21 | 1996 |
| Separation of the atmospheric variability into non-Gaussian multidimensional sources by projection pursuit techniques CAL Pires, AFS Ribeiro Climate Dynamics 48, 821-850, 2017 | 19 | 2017 |
| Sensitivity of the adjoint method in the inversion of tsunami source parameters C Pires, PMA Miranda Natural Hazards and Earth System Sciences 3 (5), 341-351, 2003 | 14 | 2003 |
Rui A. P. PerdigãoChair, Meteoceanics Institute for Complex System Sciencemeteoceanics.org üzerinde doğrulanmış e-posta adresine sahip
