Direct estimation of sea state impacts on radar altimeter sea level measurements
Direct estimation of sea state impacts on radar altimeter sea level measurements
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DOI：
10.1029/2002gl015776
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发表时间：
2002-12
影响因子：
5.2
通讯作者：
D. Vandemark;N. Tran;B. Beckley;B. Chapron;P. Gaspar
中科院分区：
文献类型：
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作者：
D. Vandemark;N. Tran;B. Beckley;B. Chapron;P. Gaspar
提出了一种新的海况偏差建模方法，该方法利用高度计导出的海洋大地水准面估计。这种方法与以前的模型相比，需要差分之间的重复高度计通过SSB隔离，沿着与复杂的二元反演，以获得风速，波高和SSB之间的关系。在这里，一个直接箱平均海面高度残差超过风和波浪相关。与最新的非参数重复通过模型的比较显示出密切的一致性，并提供了这种更简单，更直接的技术的第一次验证。成功主要归功于广泛的空间和时间平均。易于实施和绝对水平工作的好处提供了很大的吸引力。进一步的优势和潜在的局限性，集中在需要有效地随机化大海平面异常分量暴露的偏见，也进行了讨论。
A new sea state bias modeling approach is presented that makes use of altimeter‐derived marine geoid estimates. This method contrasts with previous models that require differencing between repeat altimeter passes for SSB isolation, along with complex bivariate inversion, to derive a relation between wind speed, wave height and SSB. Here one directly bin‐averages sea height residuals over the wind and wave correlatives. Comparison with the most current nonparametric repeat‐pass model shows close agreement and provides a first validation of this simpler and more direct technique. Success is attributed mainly to extensive space and time averaging. Ease in implementation and benefits in working with absolute levels provide much appeal. Further advantages and potential limitations, centered on the need to effectively randomize large sea level anomaly components to expose the bias, are also discussed.