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.