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      Estimation of the Reflection of Internal Tides on a Slope

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          Reflection occurs when internal tides impact on a steep continental slope. Separating reflected internal tide signals from incident ones is crucial to develop the parameterization of internal tide-driven turbulent mixing on the continental slopes. In this study, the performances of three different methods for estimating internal tide reflections are examined by using two different cases. The Hilbert transform-based method is found to be more suitable than two other methods for both cases considered in this study. The two other methods are effective for westward-propagating mode-1 internal tides impacting a slope, but inappropriate in the case where internal tides radiate from a Gaussian ridge impact the slope because of their inaccurate estimation of incident internal tides in the latter case. Such inaccurate estimation further influences the extraction of reflected signals and calculation of the reflected and cross term of energy fluxes. In addition, it should be noted that, due to the use of filtering, the method based on Hilbert transform may result in slight bias when assessing the incident and reflected signals near topographic features.

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          Author and article information

          Journal of Ocean University of China
          Science Press and Springer (China )
          02 May 2020
          01 June 2020
          : 19
          : 3
          : 489-496
          1Key Laboratory of Physical Oceanography, Qingdao Collaborative Innovation Center of Marine Science and Technlogy (CIMST), Ocean University of China, and Qingdao National Laboratory for Marine Science and Technology, Qingdao 266100, China
          2Ocean College, Zhejiang University, Zhoushan 316021, China
          3Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China
          4College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao 266100, China
          Author notes
          *Corresponding author: CAO Anzhou, E-mail: caoanzhou@
          Copyright © Ocean University of China, Science Press and Springer-Verlag GmbH Germany 2020.

          The copyright to this article, including any graphic elements therein (e.g. illustrations, charts, moving images), is hereby assigned for good and valuable consideration to the editorial office of Journal of Ocean University of China, Science Press and Springer effective if and when the article is accepted for publication and to the extent assignable if assignability is restricted for by applicable law or regulations (e.g. for U.S. government or crown employees).

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