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<p>Hydrological angular momentum (HAM) is used to quantify the influence of mass changes in the continental hydrosphere on variations in polar motion. It has important applications in interpreting the connections between Earth system phenomena and perturbations in the rotation of the planet. In this study we analyse HAM series computed from various Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On (GRACE-FO) solutions as well as from hybrid data based on satellite laser ranging (SLR) and a combination of GRACE/GRACE-FO and SLR. After decomposing the overall HAM time series into seasonal, non-seasonal short-term, and non-seasonal long-term variations, we evaluate them using hydrological signal in geodetically observed polar motion excitation (GAO) as a reference. The analyses are performed for two periods: (1) the period of highest quality of GRACE measurements and (2) the whole period of GRACE and GRACE-FO activity. We demonstrated a high level of correlation (equal to 0.8 and higher) between GAO and all HAM series for non-seasonal long-term variations. For these variations, as well as for seasonal oscillations, the use of both single GRACE/GRACE-FO solutions and combined solutions achieve a similar level of agreement with GAO. The use of hybrid data improves this agreement for non-seasonal short-term variations.</p>

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Harnessing C21 and S21 coefficients from GRACE and hybrid solutions for comprehensive analysis of polar motion excitation

  • 期刊论文

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  • 发表日期：

    2025年6月12日

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  • Jolanta Nastula,
  • Justyna Śliwińska-Bronowicz,
  • Małgorzata Wińska

摘要

Hydrological angular momentum (HAM) is used to quantify the influence of mass changes in the continental hydrosphere on variations in polar motion. It has important applications in interpreting the connections between Earth system phenomena and perturbations in the rotation of the planet. In this study we analyse HAM series computed from various Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On (GRACE-FO) solutions as well as from hybrid data based on satellite laser ranging (SLR) and a combination of GRACE/GRACE-FO and SLR. After decomposing the overall HAM time series into seasonal, non-seasonal short-term, and non-seasonal long-term variations, we evaluate them using hydrological signal in geodetically observed polar motion excitation (GAO) as a reference. The analyses are performed for two periods: (1) the period of highest quality of GRACE measurements and (2) the whole period of GRACE and GRACE-FO activity. We demonstrated a high level of correlation (equal to 0.8 and higher) between GAO and all HAM series for non-seasonal long-term variations. For these variations, as well as for seasonal oscillations, the use of both single GRACE/GRACE-FO solutions and combined solutions achieve a similar level of agreement with GAO. The use of hybrid data improves this agreement for non-seasonal short-term variations.