| Benchmarking of machine learning ocean subgrid parameterizations in an idealized model A Ross, Z Li, P Perezhogin, C Fernandez‐Granda, L Zanna Journal of Advances in Modeling Earth Systems 15 (1), 2023 | 40 | 2023 |
| Deterministic and stochastic parameterizations of kinetic energy backscatter in the NEMO ocean model in Double-Gyre configuration P Perezhogin Iop conference series: Earth and environmental science 386 (1), 012025, 2019 | 13 | 2019 |
| Implementation and evaluation of a machine learned mesoscale eddy parameterization into a numerical ocean circulation model C Zhang, P Perezhogin, C Gultekin, A Adcroft, C Fernandez‐Granda, ... Journal of Advances in Modeling Earth Systems 15 (10), e2023MS003697, 2023 | 12 | 2023 |
| Comparison of numerical advection schemes in two-dimensional turbulence simulation PA Perezhogin, AV Glazunov, EV Mortikov, VP Dymnikov Russian Journal of Numerical Analysis and Mathematical Modelling 32 (1), 47-60, 2017 | 12 | 2017 |
| Testing of kinetic energy backscatter parameterizations in the NEMO ocean model PA Perezhogin Russian Journal of Numerical Analysis and Mathematical Modelling 35 (2), 69-82, 2020 | 10 | 2020 |
| Stochastic and deterministic kinetic energy backscatter parameterizations for simulation of the two-dimensional turbulence PA Perezhogin, AV Glazunov, AS Gritsun Russian Journal of Numerical Analysis and Mathematical Modelling 34 (4), 197-213, 2019 | 9 | 2019 |
| Modeling of quasi-equilibrium states of a two-dimensional ideal fluid PA Perezhogin, VP Dymnikov Doklady Physics 62, 248-252, 2017 | 9* | 2017 |
| Equilibrium states of finite-dimensional approximations of a two-dimensional incompressible inviscid fluid PA Perezhogin, VP Dymnikov Russian Journal of Nonlinear Dynamics 13 (1), 55-79, 2017 | 9* | 2017 |
| Generative data‐driven approaches for stochastic subgrid parameterizations in an idealized ocean model P Perezhogin, L Zanna, C Fernandez‐Granda Journal of Advances in Modeling Earth Systems 15 (10), e2023MS003681, 2023 | 8 | 2023 |
| Systems of hydrodynamic type that approximate two-dimensional ideal fluid equations VP Dymnikov, PA Perezhogin Izvestiya, Atmospheric and Oceanic Physics 54, 232-241, 2018 | 7* | 2018 |
| Optimal energy growth in stably stratified turbulent Couette flow GV Zasko, AV Glazunov, EV Mortikov, YM Nechepurenko, PA Perezhogin Boundary-Layer Meteorology 187 (1), 395-421, 2023 | 5 | 2023 |
| Advanced parallel implementation of the coupled ocean–ice model FEMAO (version 2.0) with load balancing P Perezhogin, I Chernov, N Iakovlev Geoscientific Model Development 14 (2), 843-857, 2021 | 4 | 2021 |
| Reliable coarse-grained turbulent simulations through combined offline learning and neural emulation C Pedersen, L Zanna, J Bruna, P Perezhogin arXiv preprint arXiv:2307.13144, 2023 | 3 | 2023 |
| Расчет эволюции трехмерной концентрации атмосферного углекислого газа в климатической модели ИВМ РАН ЕМ Володин, ПА Пережогин Труды Гидрометцентра России 357, 2015 | 3 | 2015 |
| Subgrid parameterizations of ocean mesoscale eddies based on Germano decomposition P Perezhogin, A Glazunov Journal of Advances in Modeling Earth Systems 15 (10), e2023MS003771, 2023 | 2 | 2023 |
| 2D turbulence closures for the barotropic jet instability simulation PA Perezhogin Russian Journal of Numerical Analysis and Mathematical Modelling 35 (1), 21-35, 2020 | 2 | 2020 |
| A priori and a posteriori analysis in Large eddy simulation of the two-dimensional decaying turbulence using Explicit filtering approach P Perezhogin, A Glazunov EGU General Assembly Conference Abstracts, EGU21-2382, 2021 | 1 | 2021 |
| A new data-driven subgrid 2d turbulence parameterization and comparison with conventional kinetic energy backscatter parameterizations in NEMO ocean model P Perezhogin EGU General Assembly Conference Abstracts, 19890, 2020 | 1 | 2020 |
| Data-driven dimensionality reduction and causal inference for spatiotemporal climate fields F Falasca, P Perezhogin, L Zanna Physical Review E 109 (4), 044202, 2024 | | 2024 |
| Parameterizing Mesoscale Eddy Buoyancy Fluxes Using Small Neural Networks D Balwada, P Perezhogin, R Abernathey, A Adcroft, L Zanna 2024 Ocean Sciences Meeting, 2024 | | 2024 |
Carlos Fernandez-GrandaCourant Institute and Center for Data Science, New York UniversityVerified email at cims.nyu.edu
