Análisis de métodos de muestreo hidrológico en la zona frontal de Cabo Verde en noviembre de 2017

Autores/as

DOI:

https://doi.org/10.3989/scimar.05509.090

Palabras clave:

masas de agua, vehículo submarino autónomo (gliders), vehículo operado remotamente (SeaSoar), modelos numéricos, análisis wavelet, estructuras de mesoescala

Resumen


El Frente de Cabo Verde (CVF), en el Atlántico Norte oriental, es una región compleja donde el Agua Central del Atlántico Norte, más cálida, interactúa con el Agua Central del Atlántico Sur, más fría, formando un marcado gradiente termohalino. El CVF muestra gran variabilidad debido a intrusiones laterales, filamentos del sistema de afloramiento y remolinos a mesoescala y submesoescala. En noviembre de 2017, el proyecto FLUXES realizó un extenso muestreo en el CVF mediante mediciones de Conductividad, Temperatura y Profundidad (CTD) desde un barco, un SeaSoar y dos gliders profundos equipados con instrumentos bioquímicos y dinámicos. Este artículo tiene como objetivo comparar las escalas espaciales detectadas por los diferentes métodos de muestreo en el CVF, incluyendo los resultados del modelo numérico de Copernicus. Se empleó el análisis wavelet para evaluar cuantitativamente las escalas resueltas por cada método. Los resultados destacan la capacidad del CTD para alcanzar profundidades de hasta 1500 m, la rapidez del SeaSoar, con un tiempo de muestreo de 14 horas, y las capacidades específicas tanto del glider como del SeaSoar para captar escalas pequeñas entre 1 y 5 km. El glider supera al SeaSoar en resolución espacial, mostrando su eficacia en la detección de estructuras más pequeñas.

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Allen J., Cornell J., Moore M., et al. 2002. Operational oceanography using the 'new' SeaSoar ocean undulator. Sea Technol. 43: 35-40.

Bachmayer R., Leonard N.E., Graver J., et al. 2004. Underwater gliders: recent developments and future applications. In: Proceedings of the 2004 International Symposium on Underwater Technology (IEEE Cat. No.04EX869). IEEE, Taipei, Taiwan, pp. 195-200. https://doi.org/10.1109/UT.2004.1405540

Bachmayer R., Young B.D., Williams C., et al. 2006. Development and deployment of ocean gliders on the Newfoundland Shelf. In: Proceedings of the Unmanned Vehicle Systems Canada Conference 2006. Montebello, Québec.

Baliunas S., Frick P., Sokoloff D., et al. 1997. Time scales and trends in the central England temperature data (1659-1990): A wavelet analysis. Geophys. Res. Lett. 24: 1351-1354. https://doi.org/10.1029/97GL01184

Barton E.D. 1987. Meanders, eddies and intrusions in the thermohaline front off North-west Africa. Oceanol. Acta. 10: 267-283.

Bashmachnikov I., Nascimento A., Neves F., et al. 2015. Distribution of intermediate water masses in the subtropical northeast Atlantic. Ocean Sci. 11: 803-827. https://doi.org/10.5194/os-11-803-2015

Burgoa N., Machín F., Rodríguez-Santana A., et al. 2021. Cape Verde Frontal Zone in summer 2017: lateral transports of mass, dissolved oxygen and inorganic nutrients. Ocean Sci. 17: 769-788. https://doi.org/10.5194/os-17-769-2021

Camayo R., Campos E.J.D. 2006. Application of wavelet transform in the study of coastal trapped waves off the west coast of South America. Geophys. Res. Lett. 33: L22601. https://doi.org/10.1029/2006GL026395

Campanero R., Burgoa N., Fernández-Castro B., et al. 2022. High-resolution variability of dissolved and suspended organic matter in the Cape Verde Frontal Zone. Front. Mar. Sci. 9: 1006432. https://doi.org/10.3389/fmars.2022.1006432

Collineau S., Brunet Y. 1993. Detection of turbulent coherent motions in a forest canopy part I: Wavelet analysis. Boundary-Layer Meteorol. 65: 357-379. https://doi.org/10.1007/BF00707033

Combes J.M., Grossmann A., Tchamitchian P. 1990. Wavelets: Time-Frequency Methods and Phase Space. Proceedings of the International Conference, Marseille, France, December 14-18, 1987. Springer Berlin Heidelberg, Berlin, Heidelberg., 331 pp. https://doi.org/10.1007/978-3-642-75988-8

Farge M. 1992. Wavelet transforms and their applications to turbulence. Annu. Rev. Fluid Mech. 24: 395-457. https://doi.org/10.1146/annurev.fluid.24.1.395

Gamage N., Blumen W. 1993. Comparative analysis of low-level cold fronts: Wavelet, Fourier, and empirical orthogonal function decompositions. Mon. Weather Rev. 121: 2867-2878. https://doi.org/10.1175/1520-0493(1993)121<2867:CAOLLC>2.0.CO;2

Gamage N., Hagelberg C. 1993. Detection and analysis of microfronts and associated coherent events using localized transforms. J. Atmos. Sci. 50: 750-756. https://doi.org/10.1175/1520-0469(1993)050<0750:DAAOMA>2.0.CO;2

Gao W., LiB .L. 1993. Wavelet Analysis of Coherent Structures at the Atmosphere-Forest Interface. J. Appl. Meteor. Climatol. 32: 1717-1725. https://doi.org/10.1175/1520-0450(1993)032<1717:WAOCSA>2.0.CO;2

Garel E., Laiz I., Drago T., et al. 2016. Characterisation of coastal counter-currents on the inner shelf of the Gulf of Cadiz. J. Mar. Syst. 155: 19-34. https://doi.org/10.1016/j.jmarsys.2015.11.001

Gollmer S.M., Harshvardhan, Cahalan R.F., et al. 1995. Windowed and Wavelet Analysis of Marine Stratocumulus Cloud Inhomogeneity. J. Atmos. Sci. 52: 3013-3030. https://doi.org/10.1175/1520-0469(1995)052<3013:WAWAOM>2.0.CO;2

Grinsted A., Moore J.C., Jevrejeva S. 2004. Application of the cross wavelet transform and wavelet coherence to geophysical time series. Nonlinear Processes Geophys. 11: 561-566. https://doi.org/10.5194/npg-11-561-2004

Grossmann A., Morlet J. 1984. Decomposition of Hardy Functions into Square Integrable Wavelets of Constant Shape. SIAM J. Math. Anal. 15: 723-736. https://doi.org/10.1137/0515056

Gu D., Philander S.G.H. 1995. Secular Changes of Annual and Interannual Variability in the Tropics during the Past Century. J. Clim. 8: 864-876. https://doi.org/10.1175/1520-0442(1995)008<0864:SCOAAI>2.0.CO;2

Hagen E. 1985. A meandering intermediate front North-West off Cape Verde Islands. Oceanogr. Trop. 20: 71-83.

Hales B., Takahashi T. 2002. The pumping SeaSoar: a high-resolution seawater sampling platform. J. Atmos. Oceanic. Technol. 19: 1096-1104. https://doi.org/10.1175/1520-0426(2002)019<1096:TPSAHR>2.0.CO;2

Hernández-García I., Ramos A., Rodríguez-Santana A. 2018. Validation of ocean forecasting model data with those obtained from the first transoceanic autonomous underwater vehicles (gliders) missions in the North-East Atlantic basin. Final degree project, Universidad de Las Palmas de Gran Canaria, 38 pp.

Hughes P., Barton E.D. 1974. Stratification and water mass structure in the upwelling area off northwest Africa in April/May 1969. Deep-Sea Res. Oceanogr. Abstr. 21: 611-620. https://doi.org/10.1016/0011-7471(74)90046-1

Jevrejeva S., Moore J.C., Grinsted A. 2003. Influence of the Arctic Oscillation and El Niño-Southern Oscillation (ENSO) on ice conditions in the Baltic Sea: The wavelet approach. J. Geohys. Res., D. 108: 4677. https://doi.org/10.1029/2003JD003417

Koshlyakov M.N., Grachev Y.M. 1973. Meso-scale currents at a hydrophysical polygon in the tropical Atlantic. Deep-Sea Res. Oceanogr Abstr. 20: 507-526. https://doi.org/10.1016/0011-7471(73)90075-2

Kumar P., Foufoula-Georgiou E. 1993. A New Look at Rainfall Fluctuations and Scaling Properties of Spatial Rainfall Using Orthogonal Wavelets. J. Appl. Meteor. Climatol. 32: 209-222. https://doi.org/10.1175/1520-0450(1993)032<0209:ANLARF>2.0.CO;2

Lau K.M., Weng H. 1995. Climate Signal Detection Using Wavelet Transform: How to Make a Time Series Sing. Bull. Am. Meteorol. Soc. 76: 2391-2402. https://doi.org/10.1175/1520-0477(1995)076<2391:CSDUWT>2.0.CO;2

Liu P.C. 1994. Wavelet Spectrum Analysis and Ocean Wind Waves. In: Foufoula-Georgiou E., Kumar P. (eds), Wavelet Analysis and Its Applications. Academic Press, 4: 151-166. https://doi.org/10.1016/B978-0-08-052087-2.50012-8

Mak M. 1995. Orthogonal wavelet analysis: interannual variability in the surface temperature. Bull. Am. Meteorol. Soc. 76: 2391-2402. https://doi.org/10.1175/1520-0477(1995)076<2179:OWAIVI>2.0.CO;2

Martínez-Marrero A., Rodríguez-Santana A., Hernández-Guerra A., et al. 2008. Distribution of water masses and diapycnal mixing in the Cape Verde Frontal Zone. Geophys. Res. Lett. 35: L07609. https://doi.org/10.1029/2008GL033229

Meyers S.D., Kelly B.G., O'Brien J.J. 1993. An Introduction to Wavelet Analysis in Oceanography and Meteorology: With Application to the Dispersion of Yanai Waves. Mon. Weather Rev. 121: 2858-2866. https://doi.org/10.1175/1520-0493(1993)121<2858:AITWAI>2.0.CO;2

Mittelstaedt E. 1983. The upwelling area off Northwest Africa-A description of phenomena related to coastal upwelling. Prog. Oceanogr. 12: 307-331. https://doi.org/10.1016/0079-6611(83)90012-5

Morlet J. 1983. Sampling Theory and Wave Propagation. In: Chen C.H. (ed), Issues in Acoustic Signal-Image Processing and Recognition. NATO ASI Series, vol 1. Springer, Berlin, Heidelberg, pp. 233-261. https://doi.org/10.1007/978-3-642-82002-1_12

Morlet J., Arens G., Fourgeau E., et al. 1982. Wave propagation and sampling theory-Part I: Complex signal and scattering in multilayered media. Geophysics. 47: 203-221. https://doi.org/10.1190/1.1441328

Moron V., Vautard R., Ghil M. 1998. Trends, interdecadal and interannual oscillations in global sea-surface temperatures. Clim. Dyn. 14: 545-569. https://doi.org/10.1007/s003820050241

Navarro L., Martínez-Marrero A., Rodríguez-Santana A. 2018. Hydrographical and dynamical properties of the Cape Verde Frontal Zone during the FLUXES-II survey. Final degree project. Universidad de Las Palmas de Gran Canaria, 31 pp.

Pelegrí J.L., Peña-Izquierdo J., Machín F., et al. 2017. Deep-Sea Ecosystems Off Mauritania. In: Ramos A., Ramil F., Sanz J.L. (eds), Deep-Sea Ecosystems Off Mauritania. Springer Netherlands, pp. 119-153. https://doi.org/10.1007/978-94-024-1023-5_3

Pérez F.F., Mintrop L., Llinás O., et al. 2001. Mixing analysis of nutrients, oxygen and inorganic carbon in the Canary Islands region. J. Mar. Syst. 28: 183-201. https://doi.org/10.1016/S0924-7963(01)00003-3

Pérez-Rodríguez P., Pelegrí J.L., Marrero-Díaz A. 2001. Dynamical characteristics of the Cape Verde frontal zone. Sci. Mar. 65: 241-250. https://doi.org/10.3989/scimar.2001.65s1241

Pollard R. 1986. Frontal surveys with a towed profiling conductivity/temperature/depth measurement package (SeaSoar). Nature. 323: 433-435. https://doi.org/10.1038/323433a0

Ramos A.G., García-Garrido V.J., Mancho A.M., et al. 2018. Lagrangian coherent structure assisted path planning for transoceanic autonomous underwater vehicle missions. Sci. Rep. 8: 4575. https://doi.org/10.1038/s41598-018-23028-8 PMid:29545527 PMCid:PMC5854677

Rudnick D.L., Davis R.E., Eriksen C.C., et al. 2004. Underwater Gliders for Ocean Research. Mar. Technol. Soc. J. 38: 73-84. https://doi.org/10.4031/002533204787522703

von Schuckmann K., Le-Traon P.Y., Alvarez-Fanjul E., et al. 2016. The Copernicus Marine Environment Monitoring Service Ocean State Report. J. Oper. Oceanogr. 9: s235-s320.

Tomczak M. 1981. An analysis of mixing in the frontal zone of South and North Atlantic Central Water off North-West Africa. Prog. Oceanogr. 10: 173-192. https://doi.org/10.1016/0079-6611(81)90011-2

Tomcza kM., Hughes P. 1980. Three dimensional variability of water masses and currents in the Canary Current upwelling region. Meteor Forschungsergebnisse: Reihe A, Allgemeines, Physik und Chemie des Meeres. 21: 1-24.

Torrence C., Compo G.P. 1998. A Practical Guide to Wavelet Analysis. Bull. Am. Meteorol. Soc. 79: 61-78. https://doi.org/10.1175/1520-0477(1998)079<0061:APGTWA>2.0.CO;2

Troupin C., Beltran J., Heslop E., et al. 2015. A toolbox for glider data processing and management. Methods in Oceanography. 13-14: 13-23. https://doi.org/10.1016/j.mio.2016.01.001

Venkata-Ramana R., Krishna B., Kumar S.R., et al. 2013. Monthly Rainfall Prediction Using Wavelet Neural Network Analysis. Water Resour. Manage. 27: 3697-3711. https://doi.org/10.1007/s11269-013-0374-4

Wang B., Wang Y. 1996. Temporal Structure of the Southern Oscillation as Revealed by Waveform and Wavelet Analysis. J. Clim. 9: 1586-1598. https://doi.org/10.1175/1520-0442(1996)009<1586:TSOTSO>2.0.CO;2

Weng H., LauK. M. 1994. Wavelets, Period Doubling, and Time-Frequency Localization with Application to Organization of Convection over the Tropical Western Pacific. J. Atmos. Sci. 51: 2523-2541. https://doi.org/10.1175/1520-0469(1994)051<2523:WPDATL>2.0.CO;2

Yiou P., Sornette D., Ghil M. 2000. Data-adaptive wavelets and multi-scale singular-spectrum analysis. Physica D. 142: 254-290. https://doi.org/10.1016/S0167-2789(00)00045-2

Zenk W., Klein B., Schroder M. 1991. Cape Verde Frontal Zone. Deep Sea Res. Part. A. 38: S505-S530. https://doi.org/10.1016/S0198-0149(12)80022-7

Publicado

2024-12-30

Cómo citar

1.
Hernández-García I, Coca J, Ramos A, Rodríguez-Santana Ángel, Machin F. Análisis de métodos de muestreo hidrológico en la zona frontal de Cabo Verde en noviembre de 2017. Sci. mar. [Internet]. 30 de diciembre de 2024 [citado 29 de julio de 2026];88(4):e090. Disponible en: https://scientiamarina.revistas.csic.es/index.php/scientiamarina/article/view/5509

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Sección

Artículos de investigación

Datos de los fondos

Ministerio de Educación y Ciencias
Números de la subvención CTM2015- 420 69392-C3-3-R