Training Materials and Best Practices for Chemical Weather/Air Quality Forecasting

This publication has been developed by some 80 experts on numerical weather prediction, air quality forecasting, anthropogenic and natural emissions (including wildfires, dust storms, air toxics, and volcanic eruptions), data assimilation, as well as ensemble and probabilistic forecasting. It also contains a review of worldwide research and development experience and real-time CW-AQF, incorporates existing education materials, recommendations and best practices in recognized meteorological training institutions, and identifies the critical needs for management competence enhancement in CW-AQF. This is the first edition of this publication and efforts will be made to revise it in the future.