{
  "id": "1910.11994",
  "version": "v1",
  "published": "2019-10-26T04:19:04.000Z",
  "updated": "2019-10-26T04:19:04.000Z",
  "title": "Data compression for turbulence databases using spatio-temporal sub-sampling and local re-simulation",
  "authors": [
    "Zhao Wu",
    "Tamer A. Zaki",
    "Charles Meneveau"
  ],
  "categories": [
    "physics.flu-dyn",
    "physics.comp-ph"
  ],
  "abstract": "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.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2019-10-26T04:19:04.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "data compression",
      "local re-simulation",
      "turbulence databases",
      "spatio-temporal sub-sampling",
      "specific data"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}