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首页> 外文期刊>Ocean Engineering >The Coupled Oceanographic-tomographic Analysis And Prediction System: A Practical Means For Utilizing High Frequency Tomography In The World's Oceans
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The Coupled Oceanographic-tomographic Analysis And Prediction System: A Practical Means For Utilizing High Frequency Tomography In The World's Oceans

机译：耦合的海洋断层分析和预测系统：在世界海洋中利用高频层析成像的实用手段

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摘要

Details are presented of a methodology that utilizes acoustic travel time information in an ocean circulation model. Recent developments of this model-oriented tomography are discussed, representing some significant improvements over earlier formulations. More accurate means of determining the arrival times of specific ray paths are detailed, along with a means of estimating possible errors in the calculated travel times. The assimilation of the observed arrival time information into an ocean model is achieved using a Kalman gain, and more advanced expressions for calculating the Kalman gain are presented. A formulation to account for errors in the stated positions of a source and receiver is also presented. It is shown that the methodology performs fairly well in reproducing observed travel time anomalies. However, the model-predicted anomalies along a specific ray path may not always track the observed anomalies for that path when assimilating multiple ray path data. Results indicate that additional work is required to determine a means of handling observed arrival time data without having prior knowledge of the magnitude of errors in the observations. Results from simulation experiments provide estimates of: (1) potential errors when the travel times for ray paths are only sampled at discreet intervals as opposed to continuously and (2) to what degree acoustic data can be expected to "correct" model-predicted fields.
机译：详细介绍了在海洋环流模型中利用声学传播时间信息的方法。讨论了这种面向模型的层析成像技术的最新发展，这代表了对早期配方的一些重大改进。详细介绍了确定特定光线路径到达时间的更准确的方法，以及估算计算出的行进时间中可能的误差的方法。使用卡尔曼增益将观测到的到达时间信息同化为海洋模型，并给出了用于计算卡尔曼增益的更高级的表达式。还提出了解决源和接收器指定位置中的错误的公式。结果表明，该方法在再现观测到的旅行时间异常方面表现相当出色。但是，当吸收多个光线路径数据时，沿着特定光线路径的模型预测异常可能并不总是跟踪该路径的观测异常。结果表明需要额外的工作来确定处理观测到的到达时间数据的方法，而无需事先了解观测结果中的误差大小。仿真实验的结果提供了以下方面的估计值：（1）仅以不连续的间隔而不是连续地采样光线路径的传播时间时的潜在误差；以及（2）可以预期声学数据“校正”模型预测场的程度。

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