Assimilation of SST Satellite Images for Estimation of Ocean Circulation Velocity
Assimilation of SST Satellite Images for Estimation of Ocean Circulation Velocity
复制标题
海温卫星图像同化估算海洋环流速度
DOI：
10.1109/igarss.2008.4779127
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发表时间：
2008
期刊：
影响因子：
--
通讯作者：
G. Korotaev
中科院分区：
文献类型：
--
作者：
E. Huot;I. Herlin;G. Korotaev
本研究的目的是从海洋图像序列中计算表面环流速度。资料同化为联合收割机最佳地组合观测和模式提供了一种数学解决方案。我们定义了一个专用的图像模型与海洋动力学的物理知识相一致。卫星图像，然后同化到这个模式使用变分数据同化方案。该技术依赖于伴随模型定义来计算度量模型输出和观测值之间差异的成本函数的最小值。该方法考虑到海洋环流的物理知识，这是相关的解释图像的演变，在丢失的数据，由于云遮挡或缺乏收购的情况下，估计仍然是符合物理演变规律。
The objective of this study is to compute the surface circulation velocity from oceanographic image sequences. Data assimilation provides a mathematical solution to combine optimally observations and models. We define a dedicated Image Model consistent with the physical knowledge of ocean dynamics. Satellite images are then assimilated into this model using a variational data assimilation scheme. This technique relies on the adjoint model definition to compute the minimum of a cost function measuring the discrepancy between model's outputs and observations. The method takes into account the physical knowledge of the ocean circulation, which is relevant for explaining images evolution and, in case of missing data due to clouds occlusion or lack of acquisitions, the estimation is still consistent with the physical evolution laws.