Calibration and Validation of Granular Continuum Models from Particle Data: Bridging the Micro-Macro Gap explains how to calibrate and/or validate granular continuum models from experimental or numerical data using micro-macro transition methods that are required to obtain continuum fields (such as density, momentum and stress) from particle data (positions, velocities and forces). This is especially challenging for non-uniform and dynamic situations. This book reviews recent advances in this field and describes how to obtain continuum fields from particle level data. After reviewing several methods, it focuses on coarse-graining, demonstrating the power of this particular method via various examples.