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Nonlinear Processes in Geophysics An interactive open-access journal of the European Geosciences Union
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Volume 25, issue 2
Nonlin. Processes Geophys., 25, 413–427, 2018
https://doi.org/10.5194/npg-25-413-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: Numerical modeling, predictability and data assimilation in...

Nonlin. Processes Geophys., 25, 413–427, 2018
https://doi.org/10.5194/npg-25-413-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 19 Jun 2018

Research article | 19 Jun 2018

Evaluating a stochastic parametrization for a fast–slow system using the Wasserstein distance

Gabriele Vissio and Valerio Lucarini
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Gabriele Vissio on behalf of the Authors (08 May 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (09 May 2018) by Juan Manuel Lopez
RR by Anonymous Referee #2 (24 May 2018)
ED: Publish subject to minor revisions (review by editor) (24 May 2018) by Juan Manuel Lopez
AR by Gabriele Vissio on behalf of the Authors (30 May 2018)  Author's response    Manuscript
ED: Publish as is (04 Jun 2018) by Juan Manuel Lopez
Publications Copernicus
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Short summary
Constructing good parametrizations is key when studying multi-scale systems. We consider a low-order model and derive a parametrization via a recently developed statistical mechanical approach. We show how the method allows for seamlessly treating the case when the unresolved dynamics is both faster and slower than the resolved one. We test the skill of the parametrization by using the formalism of the Wasserstein distance, which allows for measuring how different two probability measures are.
Constructing good parametrizations is key when studying multi-scale systems. We consider a...
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