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dc.contributor.authorAltaf, M.U.
dc.contributor.authorHeemink, A.W.
dc.contributor.authorVerlaan, M.
dc.contributor.authorHoteit, Ibrahim
dc.date.accessioned2014-11-11T14:32:25Z
dc.date.available2014-11-11T14:32:25Z
dc.date.issued2011-05-12
dc.identifier.citationAltaf MU, Heemink AW, Verlaan M, Hoteit I (2011) Simultaneous perturbation stochastic approximation for tidal models. Ocean Dynamics 61: 1093-1105. doi:10.1007/s10236-011-0387-6.
dc.identifier.issn16167341
dc.identifier.doi10.1007/s10236-011-0387-6
dc.identifier.urihttp://hdl.handle.net/10754/334621
dc.description.abstractThe Dutch continental shelf model (DCSM) is a shallow sea model of entire continental shelf which is used operationally in the Netherlands to forecast the storm surges in the North Sea. The forecasts are necessary to support the decision of the timely closure of the moveable storm surge barriers to protect the land. In this study, an automated model calibration method, simultaneous perturbation stochastic approximation (SPSA) is implemented for tidal calibration of the DCSM. The method uses objective function evaluations to obtain the gradient approximations. The gradient approximation for the central difference method uses only two objective function evaluation independent of the number of parameters being optimized. The calibration parameter in this study is the model bathymetry. A number of calibration experiments is performed. The effectiveness of the algorithm is evaluated in terms of the accuracy of the final results as well as the computational costs required to produce these results. In doing so, comparison is made with a traditional steepest descent method and also with a newly developed proper orthogonal decompositionbased calibration method. The main findings are: (1) The SPSA method gives comparable results to steepest descent method with little computational cost. (2) The SPSA method with little computational cost can be used to estimate large number of parameters.
dc.language.isoen
dc.publisherSpringer Nature
dc.rightsThis is an Open Access article distributed under the terms of the Creative Commons-Attribution Noncommercial License, which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
dc.rightsArchived with thanks to Ocean Dynamics
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/
dc.subjectNumerical tidal modeling
dc.subjectParameter estimation
dc.subjectSimultaneous perturbation
dc.subjectStochastic approximation
dc.subjectCalibration method
dc.subjectCalibration parameters
dc.subjectCentral difference method
dc.subjectComputational costs
dc.subjectContinental shelves
dc.subjectGradient approximation
dc.subjectModel calibration
dc.subjectNetherlands
dc.subjectNorth Sea
dc.subjectProper Orthogonal
dc.subjectShallow sea
dc.subjectSimultaneous perturbation stochastic approximation
dc.subjectStochastic approximations
dc.subjectStorm surges
dc.subjectTidal models
dc.subjectApproximation theory
dc.subjectCalibration
dc.subjectCost benefit analysis
dc.subjectFloods
dc.subjectFunction evaluation
dc.subjectPerturbation techniques
dc.subjectStochastic models
dc.subjectStochastic systems
dc.subjectStorms
dc.subjectSteepest descent method
dc.subjectaccuracy assessment
dc.subjectalgorithm
dc.subjectbathymetry
dc.subjectcalibration
dc.subjectcontinental shelf
dc.subjectcost-benefit analysis
dc.subjectnumerical model
dc.subjectoptimization
dc.subjectparameterization
dc.subjectperturbation
dc.subjectshallow water
dc.subjectstochasticity
dc.subjectstorm surge
dc.subjecttidal cycle
dc.subjecttidal modeling
dc.subjectweather forecasting
dc.subjectAtlantic Ocean
dc.titleSimultaneous perturbation stochastic approximation for tidal models
dc.typeArticle
dc.contributor.departmentEarth Fluid Modeling and Prediction Group
dc.contributor.departmentEarth Science and Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.identifier.journalOcean Dynamics
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionDelft University of Technology, Mekelweg 4, 2628 CD, Delft, Netherlands
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)
kaust.personHoteit, Ibrahim
refterms.dateFOA2018-06-14T04:40:06Z
dc.date.published-online2011-05-12
dc.date.published-print2011-08


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This is an Open Access article distributed under the terms of the Creative Commons-Attribution Noncommercial License, which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
Except where otherwise noted, this item's license is described as This is an Open Access article distributed under the terms of the Creative Commons-Attribution Noncommercial License, which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.