12 citations · 26 across the 7 of their papers we have counts for
4 papers · 1 filter
A method for preserving nominally-resolved flow patterns in low-resolution ocean simulations: Constrained dynamics
Igor Shevchenko, Pavel Berloff
Inability of low-resolution ocean models to simulate many important aspects of the large-scale general circulation is a common problem. In the view of physics, the main reason for…
A comparison of data-driven approaches to build low-dimensional ocean models
Niraj Agarwal, Dmitri Kondrashov, Peter Dueben +2
We present a comprehensive inter-comparison of linear regression (LR), stochastic, and deep-learning approaches for reduced-order statistical emulation of ocean circulation. The re…
A method for preserving nominally-resolved flow patterns in low-resolution ocean simulations
Igor Shevchenko, Pavel Berloff
Accurate representation of large-scale flow patterns in low-resolution ocean simulations is one of the most challenging problems in ocean modelling. The main difficulty is to corre…
On a minimum set of equations for parameterisations in comprehensive ocean circulation models
Igor Shevchenko, Pavel Berloff
The complexity of comprehensive ocean models poses an important question for parameterisations: is there a minimum set of equations that should be parameterised, on the one hand, t…