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Particle Image Velocimetry (PIV) has become increasingly popular to studystructures in turbulent flows. PIV allows direct extraction and investigationof spatial structures in the given flow field. Increasing temporal resolutionof PIV systems allows a more accurate capture of the flow evolution. Despitethe very good spatial resolution of PIV, current systems can only match themultiple $kHz$ sampling rates of hot-wire or Laser Doppler Anemometer (LDA)measurements for a very short period in temporal analyses of flow. In thisstudy, an advection-based approach is presented which uses Taylor's hypothesisof "frozen turbulence" for small scale turbulent patterns. Compared to theunderlying raw data a major increase of the temporal resolution for extractedtime series is shown. The quality of the presented approach is shown fortwo-point analyses, which would not be possible with presently known methods.To demonstrate this, different turbulent flow cases behind a fractal grid arestudied. For the validation of the results corresponding hot-wire measurementsat various positions along the centerline were used.

Hybrid time series from PIV for characterization of turbulent flow fields: ASTRA -- Approach using Spatially and Temporally Resolved Advection