RT journal article
T1 A New Insight on the Upwelling along the Atlantic Iberian Coasts and Warm Water Outflow in the Gulf of Cadiz from Multiscale Ultrahigh Resolution Sea Surface Temperature Imagery
A1 Alonso del Rosario, José Juan
A1 Blázquez Gómez, Elizabeth
A1 Vidal Pérez, Juan Manuel
A1 Martin Rey, Faustino
A1 Silva Ramírez, Esther Lydia
A2 Ciencias de la Tierra
A2 Ciencias y Técnicas de la Navegación y Construcciones Navales
A2 Física Aplicada
A2 Ingeniería Informática
K1 Atlantic Iberian coast
K1 Karhunen–Loève transform (EOF)
K1 Mathematical Morphology
K1 fractal dimension
K1 harmonic prediction
AB The ATLAZUL project is an Interreg effort among 18 partners from Spain and Portugal along the Atlantic Iberian coasts. One of its objectives is the development of new methods and data processing for oceanic information to produce useful products for private and public stakeholders. This study proposes a new insight on the sea surface dynamic of the ATLAZUL area based on almost two years of multiscale high resolution sea surface temperature imagery. The use of techniques such as the Karhunen–Loève transform (Empirical Orthogonal Function) and the Maximum Entropy Spectral Analysis were applied to study long- and short-term features in the sea surface temperature imagery. Mathematical Morphology and the Geometrical Theory of Measure are utilized to compute the Medial Axis Transform and the Hausdorff dimension. The results can be summarized as follows: (i) the tow upwelling areas are identified along the Galician–Portugal coast as indicated in the second and third modes of KLT/EOF analysis, and they are partially affected by wind; (ii) the tow warm water outflows from the Bay of Cádiz to the Gulf of Cádiz are identified as the second and third modes of KLT/EOF analysis, which are also influenced by wind; (iii) the skeletons of the surface signature of the upwelling and of the warmer water outflow, along with their fractal dimensions, indicate a chaotic pattern of spatial distribution and (iv) the harmonic prediction model should be combined with the wind prediction.
PB MDPI
SN 2077-1312
YR 2024
FD 2024-09
LK http://hdl.handle.net/10498/34222
UL http://hdl.handle.net/10498/34222
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 06-nov-2026