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Improved geophysical excitations constrained by polar motion observations and GRACE/SLR time-dependent gravity

机译:极地运动观测和GRACE / SLR随时间变化的重力所限制的改进的地球物理激发

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摘要

At seasonal and intraseasonal time scales,polar motions are mainly excited by angular momentum fluctuations due to mass redistributions and relative motions in the atmosphere,oceans,and continental water,snow,and ice,which are usually provided by various global atmospheric,oceanic,and hydrological models (some with meteorological observations assimilated;e.g.,NCEP,ECCO,ECMWF,OMCT and LSDM etc.).Unfortunately,these model outputs are far from perfect and have notable discrepancies with respect to polar motion observations,due to non-uniform distributions of meteorological observatories,as well as theoretical approximations and non-global mass conservation in these models.In this study,the LDC (Least Difference Combination) method is adopted to obtain some improved atmospheric,oceanic,and hydrological/crospheric angular momentum (AAM,OAM and HAM/CAM,respectively)functions and excitation functions (termed as the LDCgsm solutions).Various GRACE (Gravity Recovery and Climate Experiment) and SLR (Satellite Laser Ranging) geopotential data are adopted to correct the non-global mass conservation problem,while polar motion data are used as general constraints.The LDCgsm solutions can reveal not only periodic fluctuations but also secular trends in AAM,OAM and HAM/CAM,and are in better agreement with polar motion observations,reducing the unexplained excitation to the level of about 5.5 mas (standard derivation value;about 1/5-1/4 of those corresponding to the original model outputs).
机译:在季节和季节内的时间尺度上,极性运动主要是由于大气,海洋以及大陆水,雪和冰的质量重新分布和相对运动引起的角动量波动而激发的,这些运动通常是由各种全球大气,海洋和海洋活动提供的。水文模型(有些被气象观测所同化;例如,NCEP,ECCO,ECMWF,OMCT和LSDM等)。不幸的是,由于分布不均匀,这些模型的输出远非完美,而且在极地运动观测方面也存在明显差异这些模型,以及这些模型的理论近似值和非全局质量守恒。本研究中,采用LDC(最小差组合)方法获得了一些改进的大气,海洋和水文/地层角动量(AAM), OAM和HAM / CAM的功能和激发函数(分别称为LDCgsm解决方案)。各种GRACE(重力恢复和气候实验)和采用SLR(卫星激光测距)地势数据来纠正非全局质量守恒问题,而将极运动数据用作一般约束条件。LDCgsm解决方案不仅可以揭示周期性波动,还可以揭示AAM,OAM和HAM /的长期趋势。 CAM,并且与极运动观测更好地吻合,将无法解释的激发降低到大约5.5 mas的水平(标准推导值;大约是原始模型输出的推导值的1 / 5-1 / 4)。

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  • 来源
    《大地测量与地球动力学(英文版)》 |2017年第6期|377-388|共12页
  • 作者单位

    Collaborative Innovation Center of Geospatial Technology/Key Laboratory of Geospace Environment and Geodesy, School of Geodesy and Geomatics,Wuhan University, China;

    Center for Space Research, University of Texas at Austin, USA;

    Collaborative Innovation Center of Geospatial Technology/Key Laboratory of Geospace Environment and Geodesy, School of Geodesy and Geomatics,Wuhan University, China;

    National Oceanic and Atmospheric Administration, Silver Spring, MD, USA;

    Center for Space Research, University of Texas at Austin, USA;

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  • 入库时间 2022-08-19 03:54:06
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