arXiv Open Access 2019

Data compression for turbulence databases using spatio-temporal sub-sampling and local re-simulation

Zhao Wu Tamer A. Zaki Charles Meneveau

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Abstrak

Motivated by specific data and accuracy requirements for building numerical databases of turbulent flows, data compression using spatio-temporal sub-sampling and local re-simulation is proposed. Numerical re-simulation experiments for decaying isotropic turbulence based on sub-sampled data are undertaken. The results and error analyses are used to establish parameter choices for sufficiently accurate sub-sampling and sub-domain re-simulation.

Topik & Kata Kunci

physics.flu-dyn physics.comp-ph

Penulis (3)

Zhao Wu

Tamer A. Zaki

Charles Meneveau

Format Sitasi

APA MLA BibTeX

Wu, Z., Zaki, T.A., Meneveau, C. (2019). Data compression for turbulence databases using spatio-temporal sub-sampling and local re-simulation. https://arxiv.org/abs/1910.11994

Akses Cepat

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Informasi Jurnal

Tahun Terbit: 2019
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓