This publication is developed as an effective, long-lasting educational and outreach tool to cover training materials and best practices for 3-D CW-AQF. It includes 12 chapters and 24 demonstration cases. It will target both entry-level and more experienced forecasters, and benefit the meteorolog... Show moreThis publication is developed as an effective, long-lasting educational and outreach tool to cover training materials and best practices for 3-D CW-AQF. It includes 12 chapters and 24 demonstration cases. It will target both entry-level and more experienced forecasters, and benefit the meteorological and air quality related communities, such as climate and public health communities. It includes fundamentals of CW-AQF and advanced materials such as applications of computational fluid dynamics (CFDs), chemical data assimilation (CDA), and inverse modeling for 3-D CW-AQF. This is the first version of the publication. It will be updated in the future to reflect the state-of-the-science development and advancement of CW-AQF. Show less