Estimating Oceanic Mixed-Layer Depth from Internal Wave Evolution Observed from Radarsat-1 SAR
Estimating Oceanic Mixed-Layer Depth from Internal Wave Evolution Observed from Radarsat-1 SAR
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发表时间：
2000
影响因子：
0.2
通讯作者：
Xiaofeng Li;P. Clemente-Colon;K. Friedman
中科院分区：
文献类型：
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作者：
Xiaofeng Li;P. Clemente-Colon;K. Friedman
1998年7月31日获取的一张Radarsat-1 SAR图像被用于研究美国东北海岸附近的内波特征。图像显示了几列内波，每列内波中有几个波包。通过假设当地半日潮周期是这些波的产生源，并通过测量波包之间的距离，我们能够直接从合成孔径雷达（SAR）图像中推导出内波的群速度。如果我们还假设海洋是一个两层有限深度模型，那么我们可以通过将从SAR图像测量的群速度与模型模拟的群速度相匹配来推导混合层深度。结果表明，在原位电导率温度深度数据和一次性深海热成像气候测量之间的相当好的协议。
One Radarsat-1 SAR image acquired on 31 July 1998 was used to study internal wave characteristics off the northeastern coast of the United States. The image showed several trains of internal waves, with several wave packets in each train. By assuming that the local semidiurnal tide period is the generating source for these waves, and by measuring the distance between the wave packets, we were able to derive the group velocity of the internal waves from synthetic aperture radar (SAR) images directly. If we also assume that the ocean is a two-layer finite depth model, we can then derive the mixed-layer depth by matching the group velocity measured from the SAR image with that simulated by the model. Results show reasonably good agreement between in situ conductivity-temperature-depth data and expendable bathythermographic climatology measurements.