Identifying lateral boundary conditions for the M2 tide in a coastal model using a stochastic gradient descent algorithm-Reference-Cited by-同舟云学术

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Identifying lateral boundary conditions for the M2 tide in a coastal model using a stochastic gradient descent algorithm

Published:2020-12 Issue: Volume:156 Page:101709
ISSN:1463-5003
Container-title:Ocean Modelling
language:en
Short-container-title:Ocean Modelling

Author:

Koenig Guillaume,Aldebert Clement,Chevalier Cristele,Devenon Jean-Luc

Funder

French ministry of Research and Higher Education

Publisher

Elsevier BV

Subject

Atmospheric Science,Geotechnical Engineering and Engineering Geology,Computer Science (miscellaneous),Oceanography

Reference33 articles.

1. Simultaneous perturbation stochastic approximation for tidal models;Altaf;Ocean Dyn.,2011

2. Efficient identification of uncertain parameters in a large-scale tidal model of the European continental shelf by proper orthogonal decomposition;Altaf;Internat. J. Numer. Methods Fluids,2012

3. Mapping nonlinear shallow-water tides: a look at the past and future;Andersen;Ocean Dyn.,2006

4. Minimization of functions having Lipschitz continuous first partial derivatives;Armijo;Pacific J. Math.,1966

5. Data assimilation for geophysical fluids;Blum,2009

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparison of surface and lateral boundary conditions controlled by pseudo-altimeter data assimilation for a regional Kuroshio model;Journal of Oceanography;2022-01-23

2. A Fast and Generic Method to Identify Parameters in Complex and Embedded Geophysical Models: The Example of Turbulent Mixing in the Ocean;Journal of Advances in Modeling Earth Systems;2021-08

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