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首页> 外文期刊>Journal of geodynamics >Non-tidal atmospheric and oceanic mass variations and their impact on GRACE data analysis
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Non-tidal atmospheric and oceanic mass variations and their impact on GRACE data analysis

机译:非潮汐大气和海洋质量变化及其对GRACE数据分析的影响

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摘要

Short term mass variations cannot be measured adequately by GRACE due to undersampling. Therefore, they are removed from the measurements beforehand using geophysical models (de-aliasing). As GRACE data analysis has not yet reached ultimate accuracy, one presumes that inadequate de-aliasing and geophysical model uncertainties are one possible reason for this. The standard GRACE de-aliasing procedure disregards geophysical model (atmospheric and oceanic) errors, therefore a procedure has been developed to take atmospheric and oceanic uncertainties into account. Thereby, we expect to improve the de-aliasing product and the resulting GRACE gravity field models. As the GRACE results are used for geophysical interpretations, any increase in accuracy will lead to a better understanding of geophysical processes. The paper summarizes the results of this work. First, the standard de-aliasing process as well as the new procedure, which is able to take geophysical model uncertainties into account, is summarized. After the definition of the performed error scenarios, an overview and discussion of the applied atmospheric and oceanic error maps is given. Finally, the impact of the previously defined error scenarios on the de-aliasing coefficients as well as on a GRACE gravity field solution is investigated. K-band range-rate satellite-to-satellite tracking (KBRR) residuals, as an intermediate gravity field result and gravity field solutions based on the applied error scenarios are analyzed. From the results obtained so far it can be concluded that GRACE results or rather KBRR residuals are sensitive to atmospheric and oceanic model errors. Depending on the error structure of the introduced model uncertainties, KBRR residuals could have been reduced. However, it has to be stated that with respect to the current GRACE error budget, atmospheric and oceanic model uncertainties seem not to play a prominent role in the accuracy of current GRACE gravity field solutions. Nevertheless, further and deeper analysis of the KBRR residuals is needed, as (positive) effects of model uncertainties are visible here.
机译:由于欠采样,短期质量变化无法通过GRACE进行充分测量。因此,事先使用地球物理模型将它们从测量中删除(去混叠)。由于GRACE数据分析尚未达到最终的准确性,因此有人认为去混叠和地球物理模型不确定性不足是造成这种情况的原因之一。标准的GRACE消除混叠程序忽略了地球物理模型(大气和海洋)的误差,因此开发了一种程序来考虑大气和海洋的不确定性。因此,我们期望改善去混叠产品和所得的GRACE重力场模型。由于GRACE结果用于地球物理解释,因此精度的任何提高都将使人们对地球物理过程有了更好的了解。本文总结了这项工作的结果。首先,总结了标准去混叠过程以及能够考虑地球物理模型不确定性的新程序。在定义了所执行的误差情景之后,给出了所应用的大气和海洋误差图的概述和讨论。最后,研究了先前定义的错误方案对去混叠系数以及GRACE重力场解决方案的影响。作为中间重力场结果和基于所应用误差场景的重力场解决方案,分析了K波段测速卫星到卫星跟踪(KBRR)残差。从到目前为止获得的结果可以得出结论,GRACE结果或KBRR残差对大气和海洋模型误差敏感。根据引入的模型不确定性的误差结构,可以减少KBRR残差。但是,必须指出的是,相对于当前的GRACE误差预算,大气和海洋模型的不确定性似乎在当前的GRACE重力场解决方案的准确性中没有发挥重要作用。然而,由于模型不确定性的(正)影响在此处可见,因此需要对KBRR残差进行更深入的分析。

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