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  Data-driven Spatio-temporal Prediction of High-dimensional Geophysical Turbulence using Koopman Operator Approximation

Khodkar, M. A., Antoulas, A. C., & Hassanzadeh, P. (in preparation). Data-driven Spatio-temporal Prediction of High-dimensional Geophysical Turbulence using Koopman Operator Approximation.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0002-C15C-D Version Permalink: http://hdl.handle.net/21.11116/0000-0002-C15D-C
Genre: Paper

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1812.09438.pdf (Preprint), 454KB
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 Creators:
Khodkar, M. A.1, Author
Antoulas, Athanasios C.1, 2, Author              
Hassanzadeh, Pedram1, Author
Affiliations:
1Rice University, ou_persistent22              
2Max Planck Fellow Group for Data-Driven System Reduction and Identification, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_2453691              

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 Dates: 2018-12-21
 Publication Status: Not specified
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 Identifiers: arXiv: 1812.09438
URI: http://arxiv.org/abs/1812.09438
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