Insight into the morphology of sand grains is required to have a more critical understanding of the engineering behaviour of this widely encountered geomaterial. Accurate characterisation of grain morphology, selection of appropriate morphological parameters for analysis, and the reproduction of grains with preferred morphology are important steps in studying the effect of individual morphological parameters on sand's physical, mechanical, and hydraulic behaviour. In the current study, virtual grains with different shapes are generated using spherical harmonic reconstruction, and the three-dimensional morphology of the generated grains is quantified in terms of commonly used morphological parameters such as roundness, sphericity, convexity, elongation index, and flatness index. The correlations between these parameters are analysed for different sets of samples to identify their interdependence. It is found that the morphological parameters at different scales are not truly independent of each other, with different degrees of correlations existing between different parameters. Morphological parameters with the least correlation with each other were then identified as the preferable candidates to analyse the effect of variation in morphology at different scales on the engineering behaviour of sands.