A pattern‐filtering method for the determination of ocean bottom pressure anomalies from GRACE solutions
A pattern‐filtering method for the determination of ocean bottom pressure anomalies from GRACE solutions
复制标题
一种从 GRACE 解中确定海底压力异常的模式过滤方法
DOI：
10.1029/2008gl034974
复制
发表时间：
2008
影响因子：
5.2
通讯作者：
J. Schröter
中科院分区：
文献类型：
--
作者：
C. Böning;R. Timmermann;A. Macrander;J. Schröter
重力恢复和气候实验（GRACE）的质量异常与现场洋底压力（OBP）数据的比较是复杂的，因为GRACE估计值代表数百公里尺度的现象，而OBP测量值本质上是逐点的。有限元海冰海洋模型（FESOM）的模拟表明，在月时间尺度上，OBP异常在复杂几何形状的大区域内是一致的。通过在规则网格上应用这些相干模式，得到了一种新的GRACE海洋质量异常滤波方法。来自世界各地的OBP记录器的时间序列用于验证。与高斯滤波相比，模式滤波方法提高了GRACE反演和原位OBP数据之间的相关性（最大值为100。现在的相关系数为0.87）。土地渗漏的影响几乎完全消除。更精细的尺度可以被解析，这样就可以识别像墨西哥湾流这样高度可变的水流。
Comparison of mass anomalies from the Gravity Recovery and Climate Experiment (GRACE) to in‐situ ocean bottom pressure (OBP) data is complicated by the fact that GRACE estimates are representative for phenomena with scales of hundreds of km, while OBP measurements are pointwise by nature. Simulations with the Finite Element Sea‐ice Ocean Model (FESOM) indicate that on a monthly time scale OBP anomalies are coherent over large areas of complex geometry. A new filtering method for GRACE‐derived ocean mass anomalies is obtained by applying these coherence patterns on a regular grid. Time series from OBP recorders all over the world ocean are used for validation. Compared to Gaussian filtering, the pattern‐filtering method improves the correlation between GRACE retrievals and in‐situ OBP data (max. correlation now 0.87). Land leakage effects are eliminated almost completely. Finer scales can be resolved such that highly variable currents like the Gulf Stream can now be identified.