Imperial College London
Alternate

ProfessorPavelBerloff

Faculty of Natural Sciences, Department of Mathematics

Professor in Applied Mathematics
 
 
 
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Contact

 

+44 (0)20 7594 9662p.berloff Website

 
 
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Location

 

745Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Ryzhov:2020:10.1016/j.ocemod.2020.101664,
author = {Ryzhov, EA and Kondrashov, D and Agarwal, N and McWilliams, JC and Berloff, P},
doi = {10.1016/j.ocemod.2020.101664},
journal = {Ocean Modelling},
pages = {1--11},
title = {On data-driven induction of the low-frequency variability in a coarse-resolution ocean model},
url = {http://dx.doi.org/10.1016/j.ocemod.2020.101664},
volume = {153},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - This study makes progress towards a data-driven parameterization for mesoscale oceanic eddies. To demonstrate the concept and reveal accompanying caveats, we aimed at replacing a computationally expensive, standard high-resolution ocean model with its inexpensive low-resolution analogue augmented by the parameterization. We considered eddy-resolving and non-eddy-resolving double-gyre ocean circulation models characterized by drastically different solutions due to the nonlinear mesoscale eddy effects. The key step of the proposed approach is to extract from the high-resolution reference solution its eddy field varying in space and time, and then to use this information to improve the low-resolution analogue model.By interactively coupling both the continuously supplied history of the eddy field and the explicitly modeled low-resolution large-scale flow, we obtained the additional eddy forcing term which modified the low-resolution model and significantly augmented its solutions. This eddy forcing term represents the action of the eddy field, its coupling with the large-scale flow and is a key dynamical constraint imposed on the augmentation procedure.Although the augmentation drastically improved the low-resolution circulation patterns, it did not recover the robust, intrinsic, large-scale low-frequency variability (LFV), which is an important feature of the high-resolution solution. This is by itself an important (negative) result that has significant implication for any data-driven eddy parameterization, especially, given the fact that we used the most complete information about the space–time history of the eddy fields. Note, when we supplied the reference (true) eddy forcing, rather than just the eddy field, the LFV was recovered. This suggests that the LFV is crucially dependent on the details of the space–time eddy forcing/large-scale flow correlations, which are not fully respected by the proposed augmentation procedure.In order to overcome the def
AU  - Ryzhov,EA
AU  - Kondrashov,D
AU  - Agarwal,N
AU  - McWilliams,JC
AU  - Berloff,P
DO  - 10.1016/j.ocemod.2020.101664
EP  - 11
PY  - 2020///
SN  - 1463-5003
SP  - 1
TI  - On data-driven induction of the low-frequency variability in a coarse-resolution ocean model
T2  - Ocean Modelling
UR  - http://dx.doi.org/10.1016/j.ocemod.2020.101664
UR  - https://www.sciencedirect.com/science/article/pii/S1463500320301669?via%3Dihub
UR  - http://hdl.handle.net/10044/1/80924
VL  - 153
ER  -
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