Abstract: Since 2014, the Institute of Atmospheric Environment, China Meteorological Administration, Shenyang has built a forecasting system of air quality for operation in Northeast China based on CUACE and CMAQ models.The research progress of air quality models and the current status were introduced in this paper to provide technical support for air quality and fog-haze forecasting in Northeast China.With the development of operational requirements for refinement and longer forecasting timelines, there are some problems, such as low forecasting accuracy, shortage of computing resources, and lack of technological innovation ability, exiting in the current operating system.The counter-measures are proposed to improve the forecasting level of air quality models in Northeast China, including strengthening the inventory research of air pollution source and formulating technical guidelines, the research and operation application of observational data assimilation technology, the improvement and optimization of physical process parameterization schemes, methods for error correction of numerical forecast products, the development of high-resolution models and maximum prediction time for 7-10 days, and introducing of talents and strengthening technological innovation.