极运动激励函数确定中的Itsg-Grace日模型分析

Aleksander Partyka, Jolanta Nastula, Justyna Śliwińska, Tomasz Kur, Malgorzata Wińska
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摘要

本研究的主要目的是评估格拉茨理工大学大地测量研究所(ITSG)每日重力场模型在非季节时间尺度上确定水文角动量(HAM)的有用性。我们将利用ITSG重力恢复与气候实验[ITSG- grace] 2016和ITSG- grace 2018日重力场模型计算的HAM赤道分量(χ 1和χ 2)与水文地表流量模型(LSDM)的HAM和海平面角动量(SLAM)以及极地运动激励中的水文信号(称为大地残差[GAO])进行了比较。来自ITSG的数据具有每日时间分辨率,使我们能够确定比更常用的月度数据频率更高的振荡。我们将研究限制在2004年至2011年期间,因为GRACE在此期间前后的观测存在差距。我们在光谱和时间域对ITSG GRACE模型获得的HAM进行了评估,并确定了分析序列在2 ~ 120天光谱范围内的振幅谱。我们的分析证实了从ITSG每日数据确定的HAM系列中存在次月信号。我们在基于lsdm的HAM中观察到类似的信号,但幅度明显较弱。我们还观察到GAO-和itsg系列的振幅谱在14天左右出现共同的峰值,这可能与地球的潮汐有关。ITSG日重力场模式可用于确定非季节时间尺度上的HAM赤道分量。
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Analysis of The Itsg-Grace Daily Models in The Determination of Polar Motion Excitation Function
ABSTRACT The main aim of this study is to evaluate the usefulness of Institute of Geodesy at Graz University of Technology (ITSG) daily gravity field models in the determination of hydrological angular momentum (HAM) at nonseasonal time scales. We compared the equatorial components (χ 1 and χ 2 ) of HAM calculated with the ITSG daily gravity field models (ITSG-Gravity Recovery and Climate Experiment [ITSG-GRACE] 2016 and ITSG-GRACE 2018) with HAM and sea-level angular momentum (SLAM) from hydrological land surface discharge model (LSDM) and the hydrological signal in the polar motion excitation (known as geodetic residuals [GAO]). Data from ITSG have a daily temporal resolution and allow us to determine oscillations with higher frequencies than the more commonly used monthly data. We limited our study to the period between 2004 and 2011 because of the gaps in GRACE observations before and after this period. We evaluated HAM obtained from ITSG GRACE models in spectral and time domains and determined the amplitude spectra of the analyzed series in the spectral range from 2 to 120 days. Our analyses confirm the existence of a sub-monthly signal in the HAM series determined from ITSG daily data. We observed a similar signal in LSDM-based HAM, but with notably weaker amplitudes. We also observed common peaks around 14 days in the amplitude spectra for the GAO- and ITSG-based series, which may be related to the Earth’s tides. ITSG daily gravity field models can be useful to determine the equatorial components of HAM at nonseasonal time scales.
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A Proposed Merging Methods of Digital Elevation Model Based on Artificial Neural Network and Interpolation Techniques for Improved Accuracy Analysis of The Itsg-Grace Daily Models in The Determination of Polar Motion Excitation Function
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