"Calibration and Validation of Granular Continuum Models from Particle Data: Bridging the Micro-Macro Gap" reviews recent advances in the field and describes how to obtain continuum fields from particle level data. After a review of several methods, it focuses on one method, coarse-graining, and demonstrates the power of this method via various examples of granular continuum models, e.g., for shallow and segregating flows. Presents the coarse-graining method to overcome accurate result challenges by applying a local smoothing kernel with a well-defined smoothing length that automatically generates fields satisfying the continuum equationsPresents a very flexible solution that can be extended to complex situations, such as two-phase flows and situations with complex external boundariesShows readers how to apply such methods to calibrate and validate some of the most common granular flow models