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Motivated by specific data and accuracy requirements for building numericaldatabases of turbulent flows, data compression using spatio-temporalsub-sampling and local re-simulation is proposed. Numerical re-simulationexperiments for decaying isotropic turbulence based on sub-sampled data areundertaken. The results and error analyses are used to establish parameterchoices for sufficiently accurate sub-sampling and sub-domain re-simulation.

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