Referencias

Calibración:

  1. Mínguez, R., Tomás, A., Méndez, F. J., and Medina, R. Mixed extreme wave climate model for reanalysis databases. Stochastic Environmental Research and Risk Assessment , ( 2012), doi: 10.1007/s00477-012-0604
  2. Reguero, B. J., Menéndez, M., Méndez, F. J., Mínguez, R., and Losada, I. J. A global ocean wave (GOW) calibrated reanalysis from 1948 onwards. Coastal Engineering 65 (2012), 38-55. doi: 10.1016/j.coastaleng.2012.03.003
  3. Mínguez, R., Espejo, A., Tomás, A., Méndez, F. J., and Losada, I. J. Directional calibration of wave reanalysis databases using instrumental data. J. Atmos. Oceanic Technol. 28 (2011), 1466-1485, doi: 10.1175/JTECH-D-11-00008.1.
  4. Tomas, A., Mendez, F., Losada, I.J. A method for spatial calibration of wave hindcast data bases. Continental Shelf Research (2008), (391-398), doi: 10.1016/j.csr.2007.09.009.

Filtro de outliers:

  1. Mínguez, R., Reguero, B. G., Luceño, A., and Méndez, F. J. Regression Models for Outlier Identification (Hurricanes and Typhoons) in Wave Hindcast Databases. Journal of Atmospheric and Oceanic Technology , 29 (2012), 267–-285, doi: 10.1175/JTECH-D-11-00059.1.

Teoría de valores extremos:

  1. Mínguez, R., Guanche, Y., and Méndez, F. J. Point-in-time and extreme-value probability simulation technique for engineering design. Structural Safety 41, 29-36 (2012), doi: 10.1016/j.strusafe.2012.10.002.
  2. Mendez, F., Menendez, M., Luceño, A., Medina, R., Graham, N.E. Seasonality and duration in extreme value distributions of significant wave height. Ocean Engineering (2008), (131-138), doi: 10.1016/j.oceaneng.2007.07.012.
  3. Izaguirre, C., Menéndez, M., Camus, P., Méndez, F. J., Mínguez, R., and Losada, I. J. Exploring the interannual variability of extreme wave climate in the northeast Atlantic Ocean. Ocean Modelling 59-60, – (2012), 31-40, doi: 10.1016/j.ocemod.2012.09.007..
  4. Frías, M. D., Mínguez, R., Gutiérrez, J. M., and Méndez, F. J. Future regional projections of extreme temperatures in Europe: A nonstationary seasonal approach. Climatic Change 113(2) (2012), 371-392, doi: 10.1007/s10584-011-0351-y.
  5. Izaguirre, C., Mendez, F., Menendez, M., Losada, I.J. Global extreme wave height variability based on satellite data. Geophysical Research Letters (2011),  (1-6),  doi: 10.1029/2011GL047302.
  6. Mínguez, R., Méndez, F. J., Izaguirre, C., Menéndez, M. and Losada, I. J. Pseudo-Optimal Parameter Selection of Non-Stationary Generalized Extreme Value Models for Environmental Variables. Environmental Modelling & Software 25 (2010), 1592-1607.
  7. Mínguez, R., Méndez, F. J., Izaguirre, C., Menéndez, M. and Losada, I. J. Sensitivity Analysis of Time-Dependent Generalized Extreme Value Models for Environmental Variables for Ocean Climate Variables. Advances in Water Resources 33 (2010), 833-845.
  8. Menendez, M., Mendez, F., Losada, I.J. Forecasting seasonal to interannual variability in extreme sea levels. ICES Journal of Marine Science  (2009), (1490-1496), doi: 10.1093/icesjms/fsp095.
  9. Menendez, M., Mendez, F., Izaguirre, C., Luceño, A., Losada, I.J. The influence of seasonality on estimating return values of significant wave height.  Coastal Engineering (2009), (211-219), doi: 10.1016/j.coastaleng.2008.07.004.
  10. Menendez, M., Mendez, F., Losada, I.J., Graham, N.E. Variability of extreme wave heights in the northeast Pacific Ocean based on buoy measurements. Geophysical Research Letters  (2008), (1-6), doi: 10.1029/2008GL035394.
  11. Mendez, F., Castanedo, S. A probability distribution for depth-limited extreme wave heights in a sea state. Coastal Engineering (2007), (878-882), doi: 10.1016/j.coastaleng.2007.05.011.
  12. Mendez, F., Menendez, M., Luceño, A., Losada, I.J. Analyzing monthly extreme sea levels with a time-dependent GEV model. Journal of Atmospheric and Oceanic Technology  (2007), (894-911), doi: 10.1175/JTECH2009.1.
  13. Cañellas, B., Orfila, A., Mendez, F., Menendez, M., Gómez, L., Tintoré, J. Application of a POT model to estimate the extreme significant wave height levels around the Balearic Sea (Western Mediterranean). Journal of Coastal Research (2007), (329-333), doi: 0749.0208.
  14. Castanedo, S., Mendez, F., Medina, R., Abascal, A.J. Long-term tidal level distribution using a wave-by-wave approach. Advances in Water Resources (2007), (2271-2282), doi: 10.1016/j.advwatres.2007.05.005.

Clasificación:

  1. Guanche, Y., Camus, P., Guanche, R., Mendez, F., Medina, R. A simplified method to downscale wave dynamics on vertical breakwaters. Coastal Engineering  (2013), 68-77, doi: 10.1016/j.coastaleng.2012.08.001.
  2. Camus, P., Mendez, F., Medina, R., Tomas, A., Izaguirre, C. High resolution downscaled ocean waves (DOW) reanalysis in coastal areas.  Coastal Engineering (2013), (56-68), doi: 10.1016/j.coastaleng.2012.09.002.
  3. Guanche, Y., Guanche, R., Camus, P., Mendez, F., Medina, R. A multivariate approach to estimate design loads for offshore wind turbines. Wind Energy (2012), (1-16), doi: 10.1002/we.1542.
  4. Camus, P., Mendez, F., Medina, R. A hybrid efficient method to downscale wave climate to coastal areas. Coastal Engineering (2011), (851-861), doi: 10.1016/j.coastaleng.2011.05.007.
  5. Camus, P., Mendez, F., Medina, R., Cofiño, A. Analysis of clustering and selection algorithms for the study of multivariate wave climate. Coastal Engineering (2011), (453-462), doi: 10.1016/j.coastaleng.2011.02.003.
  6. Camus, P., Cofiño, A., Mendez, F., Medina, R. Multivariate wave climate using self-organizing maps. Journal of Atmospheric and Oceanic Technology (2011), (1554-1568), doi: 10.1175/JTECH-D-11-00027.1.

Simulación de Monte Carlo:

  1. Guanche, Y. and Mínguez, R. and Méndez, F.J. Autoregressive Climate-based Monte Carlo simulation of trivariate sea states. Coastal Engineering (2013).
  2. Guanche, Y. and Mínguez, R. and Méndez, F.J. Autoregressive Logistic Regression Applied to Atmospheric Circulation Patterns. Climate Dynamics (2013), doi. 10.1007/s00382-013-1690-3.
  3. Morales, J. M., Mínguez, R. and Conejo, A. J. A Methodology to Generate Statistically Dependent Wind Speed Scenarios. Applied Energy 87 (2010), 843-855.

En archivo