In recent 10 years, the refinement level and dynamic, quantitative capacity of agrometeorological disaster forecasting and assessment have been promoted accompanied with the development of the agrometeorological disaster monitoring and assessment theory, the comprehensive use of numerical simulation technology, remote sensing monitoring technology, and modern information technology, as well as the application of intelligent grid meteorological element prediction in agrometeorological disaster monitoring and forecasting operation. All these have played an important role in agricultural disaster prevention and reduction and in yield improvement. In this paper, the main research and service achievements of dynamic, quantitative and refined agrometeorological disaster forecasting and assessment in recent 10 years are introduced, and the future development trend is looked forward to so as to provide a reference for the further development of agrometeorological disaster forecasting and assessment services.