In airborne or model data, clouds are often defined using information about Liquid Water Content (LWC). Unfortunately LWC is not enough to retrieve information about the dynamical boundary of the cloud, i.e. volume of turbulent air around the cloud. In this work, we propose an algorithmic approach to this problem based on a method used in time series analysis of variables in dynamic systems, namely Recurrence Plot (RP) and Recurrence Quantification Analysis (RQA). By studying RP’s constructed with turbulence kinetic energy, vertical velocity and temperature fluctuations and quantifying appropriate time series of laminarity (LAM) calculated using the plots, we distinguish between turbulent and non-turbulent segments along a horizontal flight leg.