Some Remarks on Interpolation of Nonstationary Oceanographic Fields
Some Remarks on Interpolation of Nonstationary Oceanographic Fields
复制标题
DOI：
10.1175/1520-0426(1999)016
复制
发表时间：
1999-10
影响因子：
2.2
通讯作者：
S. Sokolov;S. Rintoul
中科院分区：
文献类型：
--
作者：
S. Sokolov;S. Rintoul
摘要研究了四种插补各向异性空间非定常场的方法的性能。这些方法是最优插值法(OI，也称为客观分析)、样条插值法、多二次双调和法(MQ-B)和反距离加权法。这些测试使用了具有已知基本统计数据的随机双变量场的多个实现，以及南极绕极流(ACC)上高度各向异性和非均匀的温度和盐度场。用均匀随机场进行的测试结果表明，除反距离法外，其他方法在精度上都具有相似的性能。当插值场采样充分且数据分布密集时，场统计量与场平均值的空间偏差的存在将限制OI的内插技巧从数据密度的增加中获得。与之相比，Spline和MQ-B等插值法可以有效地调整速度和速度。
Abstract The performance of four methods for interpolating anisotropic, spatially nonstationary fields is examined. The methods are optimal interpolation (OI, also known as objective analysis), spline interpolation, multiquadric–biharmonic method (MQ–B), and the inverse distance weighted method. The tests were performed using multiple realizations of random bivariate fields with known underlying statistics, as well as highly anisotropic and nonhomogeneous temperature and salinity fields across the Antarctic Circumpolar Current (ACC). The results of tests using homogeneous random fields show that all methods except the inverse distance method have similar performance in the accuracy. When the interpolated field is sampled adequately and data distributions are dense, the presence of spatial deviations of the field statistics from the field average will limit the interpolation skill of OI to be gained from an increase in data density. In contrast, interpolation methods such as spline and MQ–B, which adjust t...