CHROMAPv1.0

Version 1.0 of CHROMAP, a Computational model for High-ResOlution air quality MAPs based on data fusion using artificial intelligence. This is a high-resolution air quality mapping model based on the fusion of data from deterministic models, in-situ and satellite observations, and spatial proxies using an ensemble of ML and DL algorithms. The methodology maintains consistency across all pollutant indicators while ensuring flexibility and transferability. In addition, CHROMAP includes interpretable AI diagnostics and provides uncertainty estimation from ensemble variability. The program structure is detailed in the README file.