海温场的递归滤波分析

递归滤波(RF)是一种属于经验线性插值类的客观分析方法。因其处理边界域和背景场的独特能力以及在计算机处理上的快速便捷优于其他的传统分析方法,适合于分析诸多资料量大(如卫星资料)、不同来源的不均匀资料。本文主要发展这一客观分析方法在海温场分析上的应用。综合利用各种时空分布和精确度均不相同的海温资料,对几个基本参数的取法进行调试并选取适当的值,分析得出细网格的海温场。结果表明,递归滤波方法不仅灵活简便,而且分析出的海温场质量好,基本上可以反映海温的实际情形。对海温场的分析还可为其他从卫星等提取的非常规资料分析提供借鉴。

The recursive filter objective analysis of sea surface temperature fields

The recursive filter objective analysis method is failing in the category of empirical linear interpolation. It is a "successive approximation" system with the particular feature of locally varying scaling, making it especially appropriate for dealing with heterogeneous data. Attention is given to proper treatment of lateral boundaries, which pemnt its use in limited domains. This system provides estimates of input data quality that can be used for editing datssets before their distribution and for the weighting of data in application by other users. The application of this method for sea surface temperature fields is described in details here.