All publications (23), including peer-reviewed in international journals (8) and Russian journals (8); preprints (3), conference papers (3) and open source education/software (1).
2024
Large eddy simulation of ocean mesoscale eddies
Pavel Perezhogin , Arun Balakrishna , and Rahul Agrawal
In Center for Turbulence Research, Proceedings of the Summer Program , 2024
@inproceedings{perezhogin2024ctr,title={Large eddy simulation of ocean mesoscale eddies},author={Perezhogin, Pavel and Balakrishna, Arun and Agrawal, Rahul},booktitle={Center for Turbulence Research, Proceedings of the Summer Program},year={2024},}
A Stable Implementation of a Data-Driven Scale-Aware Mesoscale Parameterization
Pavel Perezhogin , Cheng Zhang , Alistair Adcroft , and 2 more authors
Journal of Advances in Modeling Earth Systems, 2024
@article{perezhogin2023implementation,author={Perezhogin, Pavel and Zhang, Cheng and Adcroft, Alistair and Fernandez-Granda, Carlos and Zanna, Laure},title={A Stable Implementation of a Data-Driven Scale-Aware Mesoscale Parameterization},journal={Journal of Advances in Modeling Earth Systems},volume={16},number={10},pages={e2023MS004104},doi={https://doi.org/10.1029/2023MS004104},year={2024},}
Data-driven dimensionality reduction and causal inference for spatiotemporal climate fields
Fabrizio Falasca , Pavel Perezhogin , and Laure Zanna
@article{falasca2023causal,title={Data-driven dimensionality reduction and causal inference for spatiotemporal climate fields},author={Falasca, Fabrizio and Perezhogin, Pavel and Zanna, Laure},journal={Physical Review E},volume={109},number={4},pages={044202},year={2024},publisher={APS},doi={https://doi.org/10.1103/PhysRevE.109.044202},}
Addressing out-of-sample issues in multi-layer convolutional neural-network parameterization of mesoscale eddies applied near coastlines
Cheng Zhang , Pavel Perezhogin , Alistair Adcroft , and 1 more author
@article{zhang2024addressing,title={Addressing out-of-sample issues in multi-layer convolutional neural-network parameterization of mesoscale eddies applied near coastlines},author={Zhang, Cheng and Perezhogin, Pavel and Adcroft, Alistair and Zanna, Laure},journal={arXiv preprint arXiv:2411.01138},year={2024},doi={https://arxiv.org/abs/2411.01138},}
An Analysis of Deep Learning Parameterizations for Ocean Subgrid Eddy Forcing
Cem Gultekin , Adam Subel , Cheng Zhang , and 5 more authors
@article{cem2024,title={{An Analysis of Deep Learning Parameterizations for Ocean Subgrid Eddy Forcing}},author={Gultekin, Cem and Subel, Adam and Zhang, Cheng and Leibovich, Matan and Perezhogin, Pavel and Adcroft, Alistair and Fernandez-Granda, Carlos and Zanna, Laure},journal={arXiv preprint arXiv:2411.06604},year={2024},doi={https://arxiv.org/abs/2411.06604},}
2023
Generative Data-Driven Approaches for Stochastic Subgrid Parameterizations in an Idealized Ocean Model
Pavel Perezhogin , Laure Zanna , and Carlos Fernandez-Granda
Journal of Advances in Modeling Earth Systems, 2023
@article{perezhogin2023generative,author={Perezhogin, Pavel and Zanna, Laure and Fernandez-Granda, Carlos},title={Generative Data-Driven Approaches for Stochastic Subgrid Parameterizations in an Idealized Ocean Model},journal={Journal of Advances in Modeling Earth Systems},volume={15},number={10},pages={e2023MS003681},doi={https://doi.org/10.1029/2023MS003681},year={2023},}
Subgrid Parameterizations of Ocean Mesoscale Eddies Based on Germano Decomposition
Pavel Perezhogin , and Andrey Glazunov
Journal of Advances in Modeling Earth Systems, 2023
@article{perezhogin2023subgrid,doi={https://doi.org/10.1029/2023ms003771},year={2023},publisher={American Geophysical Union ({AGU})},volume={15},number={10},author={Perezhogin, Pavel and Glazunov, Andrey},title={Subgrid Parameterizations of Ocean Mesoscale Eddies Based on Germano Decomposition},journal={Journal of Advances in Modeling Earth Systems},}
Implementation and evaluation of a machine learned mesoscale eddy parameterization into a numerical ocean circulation model
Cheng Zhang , Pavel Perezhogin , Cem Gultekin , and 3 more authors
Journal of Advances in Modeling Earth Systems, 2023
@article{zhang2023implementation,title={Implementation and evaluation of a machine learned mesoscale eddy parameterization into a numerical ocean circulation model},author={Zhang, Cheng and Perezhogin, Pavel and Gultekin, Cem and Adcroft, Alistair and Fernandez-Granda, Carlos and Zanna, Laure},journal={Journal of Advances in Modeling Earth Systems},volume={15},number={10},pages={e2023MS003697},year={2023},publisher={Wiley Online Library},doi={https://doi.org/10.1029/2023MS003697},}
Benchmarking of machine learning ocean subgrid parameterizations in an idealized model
Andrew Ross , Ziwei Li , Pavel Perezhogin , and 2 more authors
Journal of Advances in Modeling Earth Systems, 2023
@article{ross2022benchmarking,title={Benchmarking of machine learning ocean subgrid parameterizations in an idealized model},author={Ross, Andrew and Li, Ziwei and Perezhogin, Pavel and Fernandez-Granda, Carlos and Zanna, Laure},journal={Journal of Advances in Modeling Earth Systems},volume={15},number={1},pages={e2022MS003258},year={2023},publisher={Wiley Online Library},doi={https://doi.org/10.1029/2022MS003258},}
Optimal energy growth in stably stratified turbulent Couette flow
Grigory V Zasko , Andrey V Glazunov , Evgeny V Mortikov , and 2 more authors
@article{zasko2023optimal,title={Optimal energy growth in stably stratified turbulent Couette flow},author={Zasko, Grigory V and Glazunov, Andrey V and Mortikov, Evgeny V and Nechepurenko, Yuri M and Perezhogin, Pavel},journal={Boundary-Layer Meteorology},volume={187},number={1-2},pages={395--421},year={2023},publisher={Springer},doi={https://doi.org/10.1007/s10546-022-00744-3},}
Reliable coarse-grained turbulent simulations through combined offline learning and neural emulation
Christian Pedersen , Laure Zanna , Joan Bruna , and 1 more author
@article{pedersen2023reliable,title={Reliable coarse-grained turbulent simulations through combined offline learning and neural emulation},author={Pedersen, Christian and Zanna, Laure and Bruna, Joan and Perezhogin, Pavel},journal={arXiv preprint arXiv:2307.13144},year={2023},doi={https://doi.org/10.48550/arXiv.2307.13144},}
Learning Machine Learning with Lorenz-96
Dhruv Balwada , Ryan Abernathey , Shantanu Acharya , and 32 more authors
@article{Balwada2023,title={Learning Machine Learning with Lorenz-96},doi={http://dx.doi.org/10.22541/essoar.170365239.95851488/v1},publisher={Authorea, Inc.},author={Balwada, Dhruv and Abernathey, Ryan and Acharya, Shantanu and Adcroft, Alistair and Brener, Judith and Balaji, V and Bhouri, Mohamed Aziz and Bruna, Joan and Bushuk, Mitch and Chapman, Will and Connolly, Alex and Deshayes, Julie and Fernandez-Granda, Carlos and Gentine, Pierre and Gorbunova, Anastasiia and Gregory, Will and Guillaumin, Arthur and Gupta, Shubham and Holland, Marika and Johnsson, Emmanuel and Sommer, Julien Le and Li, Ziwei and Loose, Nora and Lu, Feiyu and O’gorman, Paul and Perezhogin, Pavel and Reichl, Brandon and Ross, Andrew and Sane, Aakash and Shamekh, Sara and Verma, Tarun and Yuval, Janni and Zampieri, Lorenzo and Zhang, Cheng and Zanna, Laure},year={2023},month=dec,}
2021
Advanced parallel implementation of the coupled ocean–ice model FEMAO (version 2.0) with load balancing
Pavel Perezhogin , Ilya Chernov , and Nikolay Iakovlev
@article{perezhogin2021advanced,title={Advanced parallel implementation of the coupled ocean--ice model FEMAO (version 2.0) with load balancing},author={Perezhogin, Pavel and Chernov, Ilya and Iakovlev, Nikolay},journal={Geoscientific Model Development},volume={14},number={2},pages={843--857},year={2021},publisher={Copernicus GmbH},doi={https://doi.org/10.5194/gmd-14-843-2021},}
Emergence of optimal disturbances in a stratified turbulent shear flow under the stochastic forcing
GV Zasko , Pavel Perezhogin , AV Glazunov , and 2 more authors
In Journal of Physics: Conference Series , Dec 2021
@inproceedings{zasko2021emergence,title={Emergence of optimal disturbances in a stratified turbulent shear flow under the stochastic forcing},author={Zasko, GV and Perezhogin, Pavel and Glazunov, AV and Mortikov, EV and Nechepurenko, Yu M},booktitle={Journal of Physics: Conference Series},volume={2099},number={1},pages={012033},year={2021},organization={IOP Publishing},doi={https://doi.org/10.1088/1742-6596/2099/1/012033},}
2020
Testing of kinetic energy backscatter parameterizations in the NEMO ocean model
Pavel Perezhogin
Russian Journal of Numerical Analysis and Mathematical Modelling, Dec 2020
@article{perezhogin2020testing,title={Testing of kinetic energy backscatter parameterizations in the NEMO ocean model},author={Perezhogin, Pavel},journal={Russian Journal of Numerical Analysis and Mathematical Modelling},volume={35},number={2},pages={69--82},year={2020},publisher={De Gruyter},doi={https://doi.org/10.1515/rnam-2020-0006},}
2D turbulence closures for the barotropic jet instability simulation
Pavel Perezhogin
Russian Journal of Numerical Analysis and Mathematical Modelling, Dec 2020
@article{perezhogin20202d,title={2D turbulence closures for the barotropic jet instability simulation},author={Perezhogin, Pavel},journal={Russian Journal of Numerical Analysis and Mathematical Modelling},volume={35},number={1},pages={21--35},year={2020},publisher={De Gruyter},doi={https://doi.org/10.1515/rnam-2020-0003},}
2019
Stochastic and deterministic kinetic energy backscatter parameterizations for simulation of the two-dimensional turbulence
Pavel Perezhogin , Andrey V Glazunov , and Andrey S Gritsun
Russian Journal of Numerical Analysis and Mathematical Modelling, Dec 2019
@article{perezhogin2019stochastic,title={Stochastic and deterministic kinetic energy backscatter parameterizations for simulation of the two-dimensional turbulence},author={Perezhogin, Pavel and Glazunov, Andrey V and Gritsun, Andrey S},journal={Russian Journal of Numerical Analysis and Mathematical Modelling},volume={34},number={4},pages={197--213},year={2019},publisher={De Gruyter},doi={https://doi.org/10.1515/rnam-2019-0017},}
Deterministic and stochastic parameterizations of kinetic energy backscatter in the NEMO ocean model in Double-Gyre configuration
Pavel Perezhogin
In Iop conference series: Earth and environmental science , Dec 2019
@inproceedings{perezhogin2019deterministic,title={Deterministic and stochastic parameterizations of kinetic energy backscatter in the NEMO ocean model in Double-Gyre configuration},author={Perezhogin, Pavel},booktitle={Iop conference series: Earth and environmental science},volume={386},number={1},pages={012025},year={2019},organization={IOP Publishing},doi={https://doi.org/10.1088/1755-1315/386/1/012025},}
2018
Systems of hydrodynamic type that approximate two-dimensional ideal fluid equations
VP Dymnikov , and Pavel Perezhogin
Izvestiya, Atmospheric and Oceanic Physics, Dec 2018
@article{dymnikov2018systems,title={Systems of hydrodynamic type that approximate two-dimensional ideal fluid equations},author={Dymnikov, VP and Perezhogin, Pavel},journal={Izvestiya, Atmospheric and Oceanic Physics},volume={54},pages={232--241},year={2018},publisher={Springer},doi={https://doi.org/10.1134/S0001433818030040},}
2017
Comparison of numerical advection schemes in two-dimensional turbulence simulation
Pavel Perezhogin , Andrey V Glazunov , Evgeny V Mortikov , and 1 more author
Russian Journal of Numerical Analysis and Mathematical Modelling, Dec 2017
@article{perezhogin2017comparison,title={Comparison of numerical advection schemes in two-dimensional turbulence simulation},author={Perezhogin, Pavel and Glazunov, Andrey V and Mortikov, Evgeny V and Dymnikov, Valentin P},journal={Russian Journal of Numerical Analysis and Mathematical Modelling},volume={32},number={1},pages={47--60},year={2017},publisher={De Gruyter},doi={https://doi.org/10.1515/rnam-2017-0005},}
Modeling of quasi-equilibrium states of a two-dimensional ideal fluid
@article{perezhogin2017modeling,title={Modeling of quasi-equilibrium states of a two-dimensional ideal fluid},author={Perezhogin, Pavel and Dymnikov, VP},journal={Doklady Physics},volume={62},pages={248--252},year={2017},publisher={Springer},doi={https://doi.org/10.1134/S1028335817050032},}
Equilibrium states of finite-dimensional approximations of a two-dimensional incompressible inviscid fluid (in Russian)
Pavel Perezhogin , and Valentin Pavlovich Dymnikov
@article{perezhogin2017equilibrium,title={Equilibrium states of finite-dimensional approximations of a two-dimensional incompressible inviscid fluid (in Russian)},author={Perezhogin, Pavel and Dymnikov, Valentin Pavlovich},journal={Russian Journal of Nonlinear Dynamics},volume={13},number={1},pages={55--79},year={2017},publisher={Institute of Computer Science Izhevsk},doi={https://doi.org/10.20537/nd1701005},}
2015
Расчет эволюции трехмерной концентрации атмосферного углекислого газа в климатической модели ИВМ РАН (in Russian)
@article{volodin2015,title={Расчет эволюции трехмерной концентрации атмосферного углекислого газа в климатической модели ИВМ РАН (in Russian)},author={Володин, Евгений Михайлович and Пережогин, Павел},journal={Труды Гидрометцентра России},number={357},pages={5--15},year={2015},}
