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Volume 13, Issue 2
Application of shadowing Filter in Weather Predictability

Juan Shan

J. Info. Comput. Sci. , 13 (2018), pp. 156-160.

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  • 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.
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@Article{JICS-13-156, author = {Juan Shan}, title = {Application of shadowing Filter in Weather Predictability}, journal = {Journal of Information and Computing Science}, year = {2024}, volume = {13}, number = {2}, pages = {156--160}, 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. }, issn = {1746-7659}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jics/22458.html} }
TY - JOUR T1 - Application of shadowing Filter in Weather Predictability AU - Juan Shan JO - Journal of Information and Computing Science VL - 2 SP - 156 EP - 160 PY - 2024 DA - 2024/01 SN - 13 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/jics/22458.html KW - shadowing filter,weather forecast AB - 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.
Juan Shan. (2024). Application of shadowing Filter in Weather Predictability. Journal of Information and Computing Science. 13 (2). 156-160. doi:
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