2005
Authors
Lopes, GP; da Silva, JF; Rocio, V; Quaresma, P;
Publication
Progress in Artificial Intelligence - Lecture Notes in Computer Science
Abstract
2005
Authors
Lopes, GP; Ferreira Da Silva, J; Rocio, V; Quaresma, P;
Publication
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Abstract
2005
Authors
Lopes, G; da Silva, J; Rocio, V; Quaresma, P;
Publication
2005 Portuguese Conference on Artificial Intelligence, Proceedings
Abstract
2005
Authors
Lopes, GP; da Silva, JF; Rocio, V; Quaresma, P;
Publication
PROGRESS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS
Abstract
2005
Authors
Barbosa, SM; Fernandes, MJ; Silva, ME;
Publication
Gravity, Geoid and Space Missions
Abstract
Spatial and temporal sea level variability in the North Atlantic is investigated from Topex/Poseidon (T/P) altimetry data. Time series of sea level anomalies on a regular 5 degrees grid are analysed. Non-linear denoising through thresholding in the wavelet transform domain is carried out for each series in order to remove noise while preserving non-smooth features. Principal Component Analysis (PCA) is used to obtain a spatio-temporal description of the sea level field, To avoid modal mixing and improve interpretation of the principal modes, PCA is implemented separately for seasonal and trend components of the sea level field obtained from a wavelet-based multiresolution analysis. The leading pattern of the seasonal field reflects the dominance of a stable annual cycle over the study area and the change in the seasonal regime approaching the equator with contribution of the semi-annual cycle and phase-shift in the annual cycle in the tropical Atlantic. The leading pattern of the trend field is a broad spatial pattern associated with North Atlantic Oscillation (NAO), reflecting the influence of atmospheric conditions on interannual sea level variability.
2005
Authors
Fernandes, HM; Vasconcelos-Raposo, J;
Publication
Estudos de Psicologia (Natal)
Abstract
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