Self-Memory Spectral Model and its Preliminary Application
自忆谱模式及其初步应用

Taking a numerical prediction model as a dynamical kernel, a self-memory prediction model can be developed on the basis of the corresponding self-memorization equation The self-memory spectral model, which is capable of involving multi-time initial data, was built with US AFGL spectral model as the dynamical kernel By utilizing the complex least square for the global network data, the memory c oe fficients in the self-memory spectral model were acquired Several forecasts for 30-day mean field of global up-level temperature were made with the model Verifications of the forecasts indicate that the forecasting skill of the self-memory spectral model is quite satisfactory