基于集合卡尔曼变换的东中国海声学 敏感区判定方法*

为改善海洋与水声环境预报质量,针对常规观测成本高、资料利用率低等问题,将适应性观测方法应用于海洋声学领域。结合海洋-声学耦合模式与集合卡尔曼转换敏感区诊断方法,以东中国海宫古海峡北部区域为验证区,计算并分析不同条件下海洋环境敏感区与声学敏感区分布,通过观测系统模拟试验验证适应性观测对验证区预报的提升效果。结果表明,两种敏感区位置随时间间隔增加均向验证区上游移动,海洋环境敏感区相比于声学敏感区分布更为集中,且平移特征更明显;对海洋环境敏感区和声学敏感区添加适应性观测均能提升海洋与水声环境的预报质量,提升效果随时间间隔增加而减小,在某种类型敏感区的适应性观测对相对应参数的预报质量提升效果优于对其他类型敏感区进行观测的效果。

Identifying acoustic sensitive area of the East China Sea based on ensemble transform Kalman filter

Aiming to improve the forecast quality of ocean and acoustic environment, the method of adaptive observation is applied in the ocean acoustic field to overcome the problems of conventional observation, such as high cost and low data utilization rate. An area in the north of Miyako Strait at the East China Sea is selected as the target area. Ocean and acoustic environment sensitive areas in different conditions are calculated and analyzed combining ocean-acoustic coupled mode with ensemble transform Kalman filter method. The effect of adaptive observation on the target area is verified through observation system simulation experiment. The results show, the sensitive areas of both kinds move towards the upriver area and the ocean environment sensitive area is more concentrated with greater panning features; the adaptive observation improves the ocean and acoustic environment forecast quality of target area and the improving effect declines with the time interval between the observation and verification time. The effect of adaptive observation in particular kind of sensitive area on corresponding forecast quality is greater than the adaptive observation on other kinds of sensitive areas.