@article{
 title = {Data compression for turbulence databases using spatiotemporal subsampling and local resimulation},
 type = {article},
 year = {2020},
 pages = {064607},
 volume = {5},
 websites = {https://journals.aps.org/prfluids/abstract/10.1103/PhysRevFluids.5.064607},
 month = {6},
 publisher = {American Physical Society},
 day = {1},
 id = {6ce865be-a713-3e73-83dc-be3fbb8bd04b},
 created = {2021-04-09T15:23:01.423Z},
 accessed = {2021-04-08},
 file_attached = {false},
 profile_id = {75799766-8e2d-3c98-81f9-e3efa41233d0},
 group_id = {c9329632-2a50-3043-b803-cadc8dbdfc3f},
 last_modified = {2021-04-09T15:23:01.423Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 abstract = {Motivated by specific data and accuracy requirements for building numerical databases of turbulent flows, data compression using spatiotemporal subsampling and local resimulation is proposed. Numerical resimulation experiments for decaying isotropic turbulence based on subsampled data are undertaken. The results and error analyses are used to establish parameter choices for sufficiently accurate subsampling and subdomain resimulation.},
 bibtype = {article},
 author = {Wu, Zhao and Zaki, Tamer A. and Meneveau, Charles},
 doi = {10.1103/PhysRevFluids.5.064607},
 journal = {Physical Review Fluids},
 number = {6}
}

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