Climate & Ocean Physics @ NYU
Climate & Ocean Physics @ NYU
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Pavel Perezhogin
Postdoctoral researcher
New York University
Interests
M²LInES
Momentum closures in ocean
Large-eddy simulation
Latest
Data-driven dimensionality reduction and causal inference for spatiotemporal climate fields
Learning Machine Learning with Lorenz-96
Implementation of a data-driven equation-discovery mesoscale parameterization into an ocean model
Generative data-driven approaches for stochastic subgrid parameterizations in an idealized ocean model
Implementation and Evaluation of a Machine Learned Mesoscale Eddy Parameterization into a Numerical Ocean Circulation Model
Causal inference in spatiotemporal climate fields through linear response theory
Benchmarking of machine learning ocean subgrid parameterizations in an idealized model
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