Supporting Data for "Air Quality Estimation and Forecasting via Data Fusion with Uncertainty Quantification: Theoretical Framework and Preliminary Results"

Output data needed to generate reuslts and figures presented in the paper "Air Quality Estimation and Forecasting via Data Fusion with Uncertainty Quantification: Theoretical Framework and Preliminary Results". Figures.py is a python code which generates the figures presented in the manuscript. This code takes input from data saved in NetCDF files with the naming format "Crossvalidation_Results_AA_MMMYYYY.nc", where "AA" is the application area (SF for San Francisco; NY for New York City) and "MMMYYY" is the month and year of the application period. All data and codes should be downloaded to a local directory. This directory needs to be specified within the python code as the s_folder variable.