Lagrangian averaging plays an important role in the analysis of wave–mean-flow interactions and other multiscale fluid phenomena. The numerical computation means, e.g. from simulation data, is, however, challenging. Typical implementations require tracking a large number particles to construct time series, which are then averaged using low-pass filter. This has drawbacks that include memory dem...