Our team of data scientist uses state of the art deep learning algorithm to predict air quality. We analyze hundreds of millions of worldwide data points per day and our engine outputs an air quality forecast. To understand AirVisual's method of predicting air quality, please refer to: https://airvisual.com/research/understanding-airvisual-s-forecasting-method-deep-machine-learning
Disclaimer regarding the air quality forecast information:
This forecasting model, and all resulting air quality predictions, is intended to provide accurate information related to air quality. Steps have been implemented to ensure its quality and accuracy. However:
- AirVisual relies on Numerical Weather Prediction (NWP) models, especially the Global Forecast System (GFS). For some countries (such as China), the accuracy of the GFS is lower than other countries, therefore sometimes impacting the accuracy of the air quality forecasts.
- AirVisual does not assume any legal liability or responsibility for the accuracy, completeness, or correctness of the forecast information.
- AirVisual does not assume any legal liability for damage or losses that may have occurred either directly or indirectly as a result of any information obtained from the AirVisual forecast.