Imperial College London

DrPavelBerloff

Faculty of Natural SciencesDepartment of Mathematics

Reader 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:2019:10.1016/j.ocemod.2019.101464,
author = {Ryzhov, EA and Kondrashov, D and Agarwal, N and Berloff, PS},
doi = {10.1016/j.ocemod.2019.101464},
journal = {Ocean Modelling},
title = {On data-driven augmentation of low-resolution ocean model dynamics},
url = {http://dx.doi.org/10.1016/j.ocemod.2019.101464},
volume = {142},
year = {2019}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - The problem of augmenting low-resolution ocean circulation models with the information extracted from the data relevant to the unresolved subgrid processes is addressed. A highly nonlinear model of eddy-resolving oceanic circulation – quasigeostrophic wind-driven double gyres – is considered. The model solutions are characterized by a vigorous dynamic coupling between the resolved large-scale and small-scale (eddy) flow features. This solution provides the data for augmenting the low-resolution model with the same configuration. The eddy forcing field, which contains the essential information about coupling between the large and eddy scales, is obtained, modified, coarse-grained and added to augment the low-resolution model. The implemented modification involves novel data-adaptive harmonic decomposition analysis and dynamical constraining based on the low-resolution nonlinear advection operator. The resulting augmentation of the low-resolution model significantly improves the solution, including its time-mean circulation and low-frequency variability. This result also paves the way for a systematic data-driven emulation of unresolved and under-resolved scales of motion.
AU - Ryzhov,EA
AU - Kondrashov,D
AU - Agarwal,N
AU - Berloff,PS
DO - 10.1016/j.ocemod.2019.101464
PY - 2019///
SN - 1463-5003
TI - On data-driven augmentation of low-resolution ocean model dynamics
T2 - Ocean Modelling
UR - http://dx.doi.org/10.1016/j.ocemod.2019.101464
UR - http://hdl.handle.net/10044/1/73192
VL - 142
ER -