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    • 7. 发明专利
    • No title - not published
    • GB2605726A
    • 2022-10-12
    • GB202209053
    • 2022-03-15
    • UNIV HARBIN ENG
    • YUXIN ZHAOSHUO YANGXIONG DENGTING ZHAORIXU HAOYANLONG LIUHENGDE ZHAO
    • G01W1/10G01W1/00G06F17/18G06F30/20G06F30/25
    • The disclosure provides a method for assimilating data based on a localized equivalent weights particle filter with statistical observations, including: obtaining a model integral initial background field; determining whether a statistical observation start time is reached, and accumulating observations to calculate an average value of statistical observations; calculating proposal densities according to the average value of the statistical observations to adjust ensemble particles; at an assimilation time, calculating weights of the particles by the equivalent weight method to adjust states of the particles; adjusting the particles by a resampling method to keep the number of the ensemble particles stable, and updating the states of the particles at observation positions; determining weights of the particles around assimilation observation corresponding positions by a localization function; updating weights of the particles according to localization weights, and updating states of surrounding particles; and calculating posterior estimation values of the states in the localized equivalent weights particle filter with statistical observations. The disclosure can effectively improve the data assimilation quality of a non-Gaussian grid model, and can be better applied to real-time data assimilation in a grid complex model, thereby improving the assimilation quality. The method may be applied in the field of atmospheric and oceanographic data assimilation.