Paulo Relvas – Short CV
Academic degree/s
PhD, Physical Oceanography, University of Wales - Bangor, UK, 1999
Degree, Physics (Macrophysics), University of Lisbon, Portugal, 1986
Main research areas
Eastern Boundary Current Systems. Dynamical processes in the Coastal Transition Zone. Coastal and shelf oceanography. Mesoscale structures. Coastal upwelling. Variability of upwelling systems. Structure and dynamics of upwelling filaments. Inner shelf circulation. Sea level variations. Applied remote sensing. observational oceanography. Training and teaching oceanography.
Main activities (e.g. coordination/ participation in projects; others) (5 most relevant)
"Acoustic Tomography Monitoring System (ATOMS)", PDCTM/P/MAR/15296/1999. (coordination of the CIMA/UAlg partnership)
"Produccion Pelágica en la Plataforma Atlántico-Andaluza (P3A2)", CTM2005-01091/MAR, CSIC - ICMAN Cadiz (member of team)
"Long Term Variability of the Canary Current Upwelling System (LongUp)" PTDC/AAC-CLI/105296/2008, Coordinator.
"SHORE - Shoreface morphodynamics: an integrated approach", PTDC/MAR-EST/3485/2012. (coordination of the CCMAR/UAlg partnership)
"EMSO-ERIC, European Multidisciplinary Seafloor and Water Column Observatory– European Research Infrastructure Consortium", ESFRI roadmap, (coordination of the CCMAR/UAlg partnership in EMSO-PT)
Publications in peer reviwes (most recent/relevant)
Relvas, P., and E.D. Barton, Mesoscale patterns in the Cape São Vicente (Iberian Peninsula) upwelling region, Journal of Geophysical Research, 107(C10), 3164, doi:10.1029/2000JC000456, 2002.
Relvas, P., and E. D. Barton, A separated jet and coastal counterflow during upwelling relaxation off Cape São Vicente (Iberian Peninsula), Continental Shelf Research, 25, 29-49, 2005.
Relvas, P., E. D. Barton, J. Dubert, P. B. Oliveira, Á. J. Peliz, J. C. da Silva and A. M. P. Santos, Physical oceanography of the Western Iberia Ecosystem: latest views and challenges, Progress in Oceanography, 74, 149-173, 2007.
Sánchez, R. F., P. Relvas, A. Martinho, and P. Miller, Physical description of an upwelling filament west of Cape St. Vincent in late October 2004, Journal of Geophysical Research, 113, C07044, doi:10.1029/2007JC004430, 2008.
Relvas, P., J. Luís, and A. M. P. Santos, Importance of the mesoscale in the decadal changes observed in the northern Canary upwelling system, Geophys. Res. Lett., 36, L22601, doi:10.1029/2009GL040504, 2009.
Cravo, A., P. Relvas, S. Cardeira, F. Rita, M. Madureira, and R. Sánchez, An upwelling filament off Southwest Iberia: effect on the chlorophyll a and nutrients exportation, Continental Shelf Research, 30, 1601-1613, 2010.
Cravo, A., P. Relvas, S. Cardeira, F. Rita. 2013. Nutrients and chlorophyll a transports during an upwelling event in the NW margin of the Gulf of Cadiz. Journal of Marine Systems 128, 208-221, DOI: http://dx.doi.org/10.1016/j.jmarsys.2013.05.001, 2013.
P. Relvas, A. Cravo, R. Sánchez, C. Monteiro, S. Cardeira, M. Madureira, and F. Rita, Cross-shore exchanges imposed by an upwelling filament, OCEANS'14 MTS/IEEE, Taipei, Taiwan, April 2014. http://dx.doi.org/10.1109/OCEANS-TAIPEI.2014.6964385
Monteiro, C. M., S. Cardeira, A. Cravo, M. J. Bebianno, R. F. Sánchez, and P. Relvas, Influence of an upwelling filament on the distribution of labile fraction of dissolved Zn, Cd and Pb off Cape São Vicente, SW Iberia, Continental Shelf Research, 94, 28–41. DOI: http://dx.doi.org/10.1016/j.csr.2014.12.004, 2015.
Garel, E., I. Laiz, T. Drago, P. Relvas, Characterization of coastal counter-currents on the inner shelf of the Gulf of Cadiz, Journal of Marine Systems, 155, 19–34. DOI: http://dx.doi.org/10.1016/j.jmarsys.2015.11.001, 2016.
R. F. Sánchez-Leal,M. J. Bellanco, L. M. Fernández-Salas, J. García-Lafuente, M. Gasser-Rubinat, C. González-Pola, F. J. Hernández-Molina, J. L. Pelegrí, A. Peliz, P. Relvas, D. Roque, M. Ruiz-Villarreal, S. Sammartino, J. C. Sánchez-Garrido, The Mediterranean Overflow in the Gulf of Cadiz: A ruggedjourney. Sci. Adv. 3, eaao0609 (2017) https://doi.org/10.1126/sciadv.aao0609
Leitão, F., Relvas P., Canovas F., Baptista, V., Teodósio, A.., Northerly wind trends along the Portuguese marine coast since 1950. Theor Appl Climatol (2018). https://doi.org/10.1007/s00704-018-2466-9
Cláudio, C., Caldeira R. M. A., Relvas P., and Stegner, A., Islands as eddy transformation and generation hotspots: Cabo Verde case study, Progress in Oceanography 184, 102271 (2020); DOI: https://doi.org/10.1016/j.pocean.2020.102271
Nascimento S., Mateen S., Relvas P. (2020) Sequential Self-tuning Clustering for Automatic Delimitation of Coastal Upwelling on SST Images. In: Analide C., Novais P., Camacho D., Yin H. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2020. IDEAL 2020. Lecture Notes in Computer Science, vol 12490. Springer, Cham. https://doi.org/10.1007/978-3-030-62365-4_41
De Oliveira Júnior, L., Garel, E., Relvas, P., The structure of incipient coastal counter currents in South Portugal as indicator of their forcing agents, Journal of Marine Systems, 2021, 214, 103486 https://doi.org/10.1016/j.jmarsys.2020.103486
Lima, M.J., Relvas, P., Barbosa, A.B., Variability patterns and phenology of harmful phytoplankton blooms off southern Portugal: Looking for region-specific environmental drivers and predictors, Harmful Algae, 2022, 116, 102254 https://doi.org/10.1016/j.hal.2022.102254
De Oliveira Júnior, L., Relvas, P., Garel, E., Kinematics of surface currents at the northern margin of the Gulf of Cádiz, Ocean Science, 2022, 18(4), pp. 1183–1202 https://doi.org/10.5194/os-18-1183-2022
Herrero JJ, Simes DC, Abecasis R, Relvas P, Garel E, Ventura Martins P and Santos R (2023), Monitoring invasive macroalgae in southern Portugal: drivers and citizen science contribution. Front. Environ. Sci. 11:1324600. https://doi.org/10.3389/fenvs.2023.1324600
Georg, T., Neves, M.C., Relvas, P., The signature of NAO and EA climate patterns on the vertical structure of the Canary Current upwelling system, Ocean Science, 2023, 19(2), pp. 351–361 https://doi.org/10.5194/os-19-351-2023
Nascimento, S., Martins, A., Relvas, P., Luís, J.F., Mirkin, B., Core–shell clustering approach for detection and analysis of coastal upwelling, Computers and Geosciences, 2023, 179, 105421 https://doi.org/10.1016/j.cageo.2023.105421
Nascimento, S., Martins, A., Relvas, P., Luís, J.F., Mirkin, B., Piece-wise constant cluster modelling of dynamics of upwelling patterns, Expert Systems, 2023, 40(10), e13446 https://doi.org/10.1111/exsy.13446
Mulero-Martinez, R., Gómez-Enri, J., De Oliveira Júnior, L., L. De Oliveira Júnior, Garel E., Relvas, P., Mañanes, R., Spatiotemporal variability of the coastal circulation in the northern Gulf of Cadiz from Copernicus Sentinel-3A satellite radar altimetry measurements, Advances in Space Research, 2024, 73(10), pp. 4922–4936 https://doi.org/10.1016/j.asr.2024.02.054
De Oliveira Júnior, L., Relvas, P., Garel, E., Upwelling processes variability and water circulation along the northern margin of the Gulf of Cadiz, Continental Shelf Research, 2024, 281, 105310 https://doi.org/10.1016/j.csr.2024.105310
Rautenbach, S.A., Mendes De Sousa, C., Carapuço, M., Relvas, P., High-resolution observations of the ocean upper layer south of Cape St. Vincent, the western northern margin of the Gulf of Cádiz, Earth System Science Data, 2024, 16(10), pp. 4641–4654 https://doi.org/10.5194/essd-16-4641-2024
Graça Aranha S, Teodósio A, Marsili T, Pires da Rocha P, Modesto T, Guerreiro PM, Tambutte A, Alves A, Relvas P and Dias E (2025) Under pressure: deep-sea elasmobranchs experience high mortality and stress in a crustacean trawling fishery. Front. Fish Sci. 3:1473376. https://doi.org/10.3389/frish.2025.1473376
Pires da Rocha P, Marsili T, Barkai A, Figueiredo I, Dias E, Modesto T, Relvas P, Teodósio A, Graca Aranha S (2025) Remote monitoring of the bycatch of demersal chondrichthyans using video imagery: a case study from a deep-water crustacean trawler. Mar Ecol Prog Ser 756:83-94 https://doi.org/10.3354/meps14801
Nascimento, S., Caldeirão, P., Relvas, P., Mirkin, B. (2026). Learning Coastal Upwelling Patterns from Wind Velocity via Interpretable Tree Models. In: Valente de Oliveira, J., Leite, J., Rodrigues, J., Dias, J., Cardoso, P. (eds) Progress in Artificial Intelligence. EPIA 2025. Lecture Notes in Computer Science(), vol 16121. Springer, Cham. https://doi.org/10.1007/978-3-032-05176-9_23
