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On data-driven induction of the low-frequency variability in a coarse-resolution ocean model

  • Published:2020-09 Issue: Volume:153 Page:101664
  • ISSN:1463-5003
  • Container-title:Ocean Modelling
  • language:en
  • Short-container-title:Ocean Modelling

Author:

Ryzhov E.A.,Kondrashov D.,Agarwal N.,McWilliams J.C.,Berloff P.

Funder

Natural Environment Research Council

National Science Foundation

Leverhulme Trust

Publisher

Elsevier BV

Subject

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

Reference58 articles.

1. Scale-aware flow decomposition and statistical analysis of the eddy forcing;Agarwal,2020

2. Stochastic parametrizations and model uncertainty in the Lorenz 96 system;Arnold;Phil. Trans. R. Soc. A,2013

3. A scale-aware subgrid model for quasi-geostrophic turbulence;Bachman;J. Geophys. Res.: Oceans,2017

4. On dynamically consistent eddy fluxes;Berloff;Dyn. Atmos. Oceans,2005

5. Dynamically consistent parameterization of mesoscale eddies. Part I: simple model;Berloff;Ocean Model.,2015

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