Air Quality Forecasting with Uncertainty Quantification by Fusing Model, Satellite, and in-Situ Data
The goal of our project is to integrate diverse global and local air quality data sources using the cloud computing platform of Google Earth Engine to provide synthesized estimates and forecasts of air quality at a local scale but with a global scope freely accessible by air quality managers worldwide, facilitating their decision-making processes.