The kalman filter is introduced and explored by assimilating sea temperature observations into one - dimensional numerical temperature model , which is decomposed into two parts , one part is the certain , the other is the random . then a data assimilation model is set up , it can assimilate sea temperature continuous observations data 在此基礎(chǔ)上,利用kalman濾波原理,以一維海溫垂直分布的數(shù)值模式為例,通過(guò)對(duì)原模式進(jìn)行分解,得到確定性模式和隨機(jī)過(guò)程兩部分,繼而建立了一個(gè)可同化海溫連續(xù)觀測(cè)資料的數(shù)據(jù)同化模式。