Generative Stochastic Modeling of Strongly Nonlinear Flows with Non-Gaussian Statistics
Strongly nonlinear flows, which commonly arise in geophysical and engineering turbulence, are characterized by persistent and intermittent energy transfer between various spatial and temporal scales. These systems are difficult to model and analyze due to combination of high dimensionality and uncer...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Society for Industrial & Applied Mathematics (SIAM)
2024
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| Online Access: | https://hdl.handle.net/1721.1/154217 |