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Referências

Sistema de Modelagem Costeira

  • Medina, R., González, M., Castanedo, S., Peña, C., Carrión, V., 2002. Herramientas para el análisis y evaluación del impacto de la construcción de obras portuarias en el litoral, in: I Congreso de Ingeniería Civil, Territorio Y Medio Ambiente. pp. 1269–1283.
  • González, M., Medina, R., Osorio, A., Lomónaco, P., 2004. Sistema de Modelado Costero Español (SMC), in: XXI Congreso Latinoamericano De Hidráulica Sao Pedro, Estado Sao Paulo, Brasil, Octubre de 2004. doi:10.13140/RG.2.1.2105.0405
  • González, M., Medina, R., Gonzalez-Ondina, J., Osorio, A., Méndez, F.J., García, E., 2007. An integrated coastal modeling system for analyzing beach processes and beach restoration projects, SMC. Geosci. 33, 916–931. doi:10.1016/j.cageo.2006.12.005
  • González, M., Medina, R., Losada, M., 2010. On the design of beach nourishment projects using static equilibrium concepts: Application to the Spanish coast. Coast. Eng. 57, 227–240. doi:10.1016/j.coastaleng.2009.10.009
  • Raabe, A.L.A., Klein, A.H. d. F., González, M., Medina, R., 2010. MEPBAY and SMC: Software tools to support different operational levels of headland-bay beach in coastal engineering projects. Coast. Eng. 57, 213–226. doi:10.1016/j.coastaleng.2009.10.008
  • González, M., Gutiérrez, O., Cánovas, V., Kakeh, N., Medina, R., Espejo, A., Méndez, F., Abascal, A., Castanedo, S., Martínez, C., Klein, A.H.F., Gomes, P., Dalinghauss, C., Gonzales, M., Rogacheski, C., Brelinger, C., 2014. New coastal modeling system SMC-Brasil and its application to the erosion problem on the Massaguaçu Beach (Sao Paulo, Brazil), in: Lynett, P. (Ed.), Proceedings of the Coastal Engineering Conference. Coastal Engineering Research Council, Seoul, Korea, pp. 1–4. doi:http://dx.doi.org/10.9753/icce.v34.management.49
  • González, M., Cánovas, V., Gutiérrez, O.Q., Méndez, F.J., Medina, R., 2015. El nuevo SMC-España: una herramienta metodológica y numérica de apoyo al nuevo reglamento general de costas, XIII Jornadas Españolas de Ingeniería de Costas y Puertos. Avilés (España).
  • González, M., Cánovas, V., Gutiérrez, O.Q., Medina, R, Merino, M., García, O., Garnier, R., Gomes, P., Ribas, L., Jaramillo, C., 2016. El SMC: una herramienta de apoyo a la planificación GIZC, in: II Congresso Ibero Americano de Gestão Integrada de Áreas Litorais. Florianópolis, Santa Catarina (Brasil), pp. 501–502.
  • González, M., Nicolodi, J.L., Gutiérrez, O.Q., Cánovas, V., Espejo, A., 2016. Brazilian Coastal Processes: Wind, Wave Climate and Sea Level, in: Short, A.D., Klein, A.H. da F. (Eds.), Brazilian Beach Systems. Springer International Publishing, Cham, pp. 37–66. doi:10.1007/978-3-319-30394-9_2
  • Jaramillo, C., González, M., Cánovas, V., Quetzalcóatl, O., Garnier, R., Izaguirre, C., Abascal, A.J., Medina, R., 2017. Smc-E as a tool for coastal studies considering climate, in: 8th SCACR International Short Conference on Applied Coastal Research.
  • Quetzalcóatl, O., González, M., Cánovas, V., Medina, R., Espejo, A., Klein, A., Tessler, M.G., Almeida, L.R., Jaramillo, C., Garnier, R., Kakeh, N., González-Ondina, J., 2019. SMCε, a coastal modeling system for assessing beach processes and coastal interventions: Application to the Brazilian coast. Environ. Model. Softw. 116, 131–152. https://doi.org/10.1016/J.ENVSOFT.2019.03.001.

 

Banco de dados de Onda e transferência de ondas à costa

  • Camus, P., Méndez, F.J., Medina, R., Cofiño, A.S., 2011a. Analysis of clustering and selection algorithms for the study of multivariate wave climate. Coastal Engineering 58 (6), 453–462.
  • Camus, P., Méndez, F.J., Medina, R., 2011b. A hybrid efficient method to downscale wave climate to coastal areas. Coastal Engineering 58 (9), 851–862.
  • Camus, P., Méndez, F.J., Medina, R., Tomás, A., Izaguirre, C. (2013). High resolution downscaled ocean waves (DOW) reanalysis in coastal areas. Coastal Engineering, 72, 56-68, doi: 10.1016/j.coastaleng.2012.09.002.
  • Reguero, B.G., Menéndez, M., Méndez, F.J., Mínguez, R., Losada, I.J., (2012). A Global Ocean Wave (GOW) calibrated reanalysis from 1948 onwards. Coastal Engineering 65, pp. 38–55

Banco de dados de Níveis

GOT

  • Egbert, G. D., Bennett, A. F., & Foreman, M. G. G. (1994). TOPEX/POSEIDON tides estimated using a global inverse model. Journal of Geophysical Research, 99(C12), 24821. http://doi.org/10.1029/94JC01894
  • Egbert, G. D., & Erofeeva, S. Y. (2002). Efficient inverse modeling of barotropic ocean tides. Journal of Atmospheric and Oceanic Technology, 19(2), 183–204. http://doi.org/10.1175/1520-0426(2002)019<0183:EIMOBO>2.0.CO;2

GOS

  • Cid A, Castanedo S, Abascal AJ, Menéndez M, Medina R (2014) A high resolution hindcast of the meteorological sea level component for Southern Europe: the GOS dataset. Clim Dyn 43:2167-2184. doi:10.1007/s00382-013-2041-0

Mudança climática

  • Comisión Económica para América Latina y el Caribe, CEPAL (2011). Efectos del cambio climático en la costa de América Latina y el Caribe: Dinámicas, tendencias y variabilidad climática (http://www.cepal.org/id.asp?id=45542)
  • Comisión Económica para América Latina y el Caribe, CEPAL (2012a). Efectos del cambio climático en la costa de América Latina y el Caribe: Efectos teóricos (http://www.cepal.org/id.asp?id=47536)
  • Comisión Económica para América Latina y el Caribe, CEPAL (2012b). Efectos del cambio climático en la costa de América Latina y el Caribe: Impactos (http://www.cepal.org/id.asp?id=48023)
  • Church, J.A., N.J. White, R. Coleman, K. Lambeck and J.X. Mitrovica (2004), Estimates of the Regional Distribution of sea level Rise over the 1950 to 2000 Period. Journal of Climate, 17, 2609-2625.
  • IPCC, 2013: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Stocker, T.F., D. Qin, G.-K. Plattner, M. Tignor, S.K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex and P.M. Midgley (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 1535 pp.
  • Mínguez, R., Tomás, A., Méndez, F. J., and Medina, R., 2012a. Mixed extreme wave climate model for reanalysis databases. Stochastic Environmental Research and Risk Assessment , ( 2012), doi: 10.1007/s00477-012-0604
  • Mínguez, R., Reguero, B. G., Luceño, A., and Méndez, F. J., 2012b. Regression Models for Outlier Identification (Hurricanes and Typhoons) in Wave Hindcast Databases. Journal of Atmospheric and Oceanic Technology , 29, 267–-285, doi: 10.1175/JTECH-D-11-00059.1.
  • Peltier, W.R., 2000, Earth Physics and Global Glacial Isostasy: From Paleo-Geodesy to Space Geodesy. International Association of Geodesy Symposia. Gravity, Geoid and Geodynamics.
  • Slangen, A. B. A., and M. Carson, C.A. Katsman, R.S.W. van de Wal, A. Koehl, L.L.A. Vermeersen and D. Stammer (2014), Projecting twenty-first century regional sea-level changes,  Climatic Change,124, 317-332, doi: 10.1007/s10584-014-1080-9