In the realm of air quality forecasting, the precision of predictions largely hinges on the accuracy of emission inventory data. Traditional methods, which often update only once a year or less, face challenges in keeping pace with the dynamic nature of air pollutant emissions. This issue is particularly significant in China, where rapid changes in atmospheric pollutants demand a more agile approach. ⌘ Read more
In the realm of air quality forecasting, the precision of predictions largely hinges on the accuracy of emission inventory data. Traditional methods, which often update only once a year or less, face challenges in keeping pace with the dynamic nature of air pollutant emissions. This issue is particularly significant in China, where rapid changes in atmospheric pollutants demand a more agile approach. ⌘ Read more