Implement the DeepCTM to enhance the performance of the National Air Quality Forecast Capability
This project will integrate DeepCTM, an advanced machine-learning model that emulates traditional chemical transport models (CTMs), into NOAA’s operational National Air Quality Forecast Capability (NAQFC). The goal is to improve the speed, accuracy, and resolution of air quality forecasts at both national and global scales. Additionally, the model generates sensitivity information that helps adjust key…