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Improving gravity anomalies over China marginal sea from retracked Geosat and ERS-1 data

机译:利用重新追踪的Geosat和ERS-1数据改善中国边缘海的重力异常

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The quality of altimeter data and ocean tide model is critical to the recovery of coastal gravity anomalies. In this contribution, three retracking methods (threshold, improved threshold and Beta-5) are investigated with the aim of improving the altimeter data over a shallow water area. Comparison indicates that the improved threshold is the best retracking method over China Sea. Two ocean tide models, NAO99b and CSR4.0, are analyzed. Results show that different tide models used in the processing of altimeter data may result in differences more than 10 mGal in recovered coastal gravity anomalies. Also, NAO99b is more suitable than CSR4.0 over the shallow water area of China Sea. Finally, gravity anomalies over China Sea are calculated from retracked Geosat/GM and ERS-1/GM data by least squares collocation. Comparison with shipborne gravimetry data demonstrates that gravity anomalies from retracked data are significantly superior to those from non-retracked data. Our results have the same order as the other two altimeter-derived gravity models: Sandwell&Smith(V16) and DNSC08.
机译:高度计数据和海洋潮汐模型的质量对于恢复沿海重力异常至关重要。在此贡献中,研究了三种重新跟踪方法(阈值,改进的阈值和Beta-5),目的是改善浅水区域的高度计数据。比较表明,改进的阈值是中国海上最好的重航方法。分析了两个海洋潮汐模型NAO99b和CSR4.0。结果表明,用于高度计数据处理的不同潮汐模型可能导致恢复的沿海重力异常的差异超过10 mGal。而且,NAO99b比CSR4.0更适合在中国海的浅水区域使用。最后,根据最小二乘配比,根据重新追踪的Geosat / GM和ERS-1 / GM数据计算出中国海上的重力异常。与船载重量分析数据的比较表明,重返数据的重力异常显着优于非重返数据的重力异常。我们的结果与其他两个高度计得出的重力模型具有相同的顺序:Sandwell&Smith(V​​16)和DNSC08。

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