Application of shadowing Filter in Weather Predictability

Abstract

The physical meaning of the Ikeda model is analyzed. The influence of the parameters in the model on the state of the solution is discussed. The change process of the solution when the parameters are taken from different values is described, and the sensitivity of the solution to the initial value is studied.The tail filter is used to optimize the decision function through the gradient descent method, filtering the observation error, and obtaining the initial field which is closer to the true value.