Roberto Mı́nguez

Universidad Carlos III de Madrid

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Fernando J. Méndez

Universidad de Cantabria

ÍJ

Íñigo J. Losada

Universidad de Cantabria

Melisa Menéndez

Universidad de Cantabria

Javier González

University of Castilla-La Mancha

Sarai Díaz

University of Castilla-La Mancha

Borja G. Reguero

University of California, Santa Cruz

Antonio Tomás

Universidad de Cantabria

Ana J. Abascal

Universidad de Cantabria

Cristina Izaguirre

Pacific Environment

Sonia Castanedo

Universidad de Cantabria

Cooperative Institutions

Universidad de Cantabria

Instituto de Física de Cantabria

University of Castilla-La Mancha

Consejo Superior de Investigaciones Científicas

Mediterranean Institute for Advanced Studies

Universitat Politècnica de València

State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering

Marymount University

Universidad Nacional Autónoma de México

World Bank

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Stochastic Lagrangian trajectory model for drifting objects in the ocean

Stochastic Environmental Research and Risk Assessment (2011)

Roberto Mı́nguez Ana J. Abascal Sonia Castanedo Raúl Medina

Drifter

Stochastic modelling

10.1007/s00477-011-0548-7

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Citations (22)

A methodology to define extreme wave climate using reanalysis data bases

Fernando J. Méndez Antonio Tomás Roberto Mı́nguez Borja G. Reguero

Hindcast or Wave Reanalysis DataBases (WRDB) have become a powerful tool for the design of offshore and coastal structures, since they offer important advantages for the statistical characterization of extreme events (continuous time series, good spatial coverage, constant time span, homogeneous forcing, >; 40 year long time series). However, WRDB are affected by several limitations that must be addressed prior to their use (they are not quantitatively perfect; high-frequency information is not included in global wind reanalysis models). In addition, the selection of a given extreme value model is also an important issue that must be conveniently analyzed. The objective of this work is to describe a complete methodology able to cope with the problems derived from the use of WRDB, specially for extreme value analysis and long term design. We pay special emphasis to: i) the high frequency noise or peaks of the time series, and ii) the extreme value statistical model. The methodology is illustrated with examples applied to the port of Barcelona (Spain).

Hindcast

Forcing (mathematics)

10.1109/oceans-spain.2011.6003591

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Citations (3)

Robust dynamic transmission and renewable generation expansion planning: Walking towards sustainable systems

International Journal of Electrical Power & Energy Systems (2017)

C. Roldán Agustín A. Sánchez de la Nieta Raquel García-Bertrand Roberto Mı́nguez

Economic Dispatch

Robust Optimization

Representation

10.1016/j.ijepes.2017.09.021

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Citations (60)

Modelling the interannual variability of extreme wave climate combining a time-dependent GEV model and Self-Organizing Maps

EGUGA (2010)

Cristina Izaguirre Fernando J. Méndez Paula Camus Roberto Mı́nguez Melisa Menéndez

Source

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Narrow banded wave propagation from very deep waters to the shore

Coastal Engineering (2013)

Gonzalo Simarro Álvaro Galán Roberto Mı́nguez Alejandro Orfila

Shoaling and schooling

Surf zone

Wave shoaling

Monochromatic color

Kondratiev wave

Wave model

10.1016/j.coastaleng.2013.02.012

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Citations (2)

Offshore wind farm layout optimization using mathematical programming techniques

Renewable Energy (2013)

Beatriz Pérez-Díaz Roberto Mı́nguez Raúl Guanche

10.1016/j.renene.2012.12.007

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Citations (157)

Exploring the interannual variability of extreme wave climate in the Northeast Atlantic Ocean

Ocean Modelling (2012)

Cristina Izaguirre Melisa Menéndez Paula Camus Fernando J. Méndez Roberto Mı́nguez

Significant wave height

Wave height

Extreme Weather

10.1016/j.ocemod.2012.09.007

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Citations (38)

Uncertainty Evaluation for Constrained State Estimation in Water Distribution Systems

Journal of Water Resources Planning and Management (2016)

Sarai Díaz Javier González Roberto Mı́nguez

In this paper, an alternative uncertainty treatment for the traditional unconstrained weighted-least-squares (WLS) method is presented. This treatment enables hydraulic constraints (i.e., null demands at transit nodes or null flows at closed pipes, pumps, or valves, etc.), high-precision measurements, and upper and lower variable bounds (i.e., head levels at tanks) to be included within the state estimation (SE) problem for water distribution systems. With this approach, there is no need to choose appropriate weights associated with these types of measurements in order to correctly assess uncertainty for the SE problem. The method set out herein tackles these as constraints and works with the linear system of equations derived from imposing first-order optimality conditions for the constrained SE problem. This approach enables general quantification of the SE uncertainty for all the hydraulic variables within the water system by applying the first-order second-moment (FOSM) method. Moreover, it enables standard computation of the covariance residual matrix associated with it, which is necessary to detect erroneous measurements. An illustrative example and a case study are shown to bring out the fact that the SE uncertainty results are more accurate and to show how the numerical conditioning of the system is affected, which may be crucial when dealing with large-scale water networks.

State variable

10.1061/(asce)wr.1943-5452.0000718

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Citations (25)

Mixed extreme wave climate model for reanalysis databases

Stochastic Environmental Research and Risk Assessment (2012)

Roberto Mı́nguez Antonio Tomás Fernando J. Méndez Raúl Medina

10.1007/s00477-012-0604-y

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Citations (20)

Numerical Analysis and Diagnosis of the Hydrodynamic Effects Produced by Hurricane Gordon along the Coast of Spain

Weather and Forecasting (2014)

Gabriel Díaz Hernández Fernando J. Méndez Roberto Mı́nguez

Abstract This paper presents a detailed hindcast for the generation and propagation of sea state variables—significant wave height Hs, peak period Tp, mean direction θ, and spectral shape γ –σ —associated with cyclonic events to numerically diagnose their possible hydrodynamic effects over the northeastern Atlantic. An example of such cyclonic events is Hurricane Gordon, which occurred during the second half of August 2012. Extreme hurricane-strength winds produced new and atypically low-frequency (about 14 s) packs of energy. The preexistent wave spectrum suddenly experienced an addition of low-frequency energy along the coast of Cádiz, Spain. This study presents the results of a comprehensive analysis developed to reconstruct the events produced by Hurricane Gordon (2012) along the coast of Cádiz. The analysis features the use of (i) parametric models for the characterization of hurricane winds and pressure fields, (ii) implementation of the Simulating Waves Nearshore (SWAN) model for the generation and propagation of waves in the northeast Atlantic Ocean, and (iii) its coupling with the MOPLA—taken from the Spanish acronym for wave propagation model, current, and morphodynamic evolution of beaches—model for the evaluation of longshore currents. The numerical wave characterization, generation, and propagation were validated with instrumental data from deep-water and coastal buoys.

Hindcast

Wave model

Wave height

Significant wave height

10.1175/waf-d-13-00130.1

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