The experiment of monthly mean circulation prediction using the analogy-dynamical model

Based on the past related research work, a new analogy-dynamical monthly prediction model is established with the operational dynamic extended-range forecast model T63L16 (hereafter T63) as a dynamic kernel. The monthly mean circulation prediction with T63 is considered as a control experiment, and the prediction with the analogy-dynamical model as a contrast one. It is found that the analogy-dynamical model has more precise forecast skill than the T63 model through monthly mean numerical prediction experiment.