Ceiling Data Assimilation is a computational framework that integrates heterogeneous observational data into cloud ceiling models to improve the accuracy and spatial resolution of atmospheric ceiling height estimations through the fusion of remote sensing, numerical weather prediction, and machine learning techniques.