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arXiv 2608.18737eess.SP

利用旋转谱与主成分分析对比南北极GNSS反演的海冰漂移

Comparing GNSS Derived Sea Ice Drift in the Arctic and Antarctic using Rotary Spectra and Principal Component Analysis

James H. Hepworth, Amit Kumar Mishra

AI总结:

该研究对比南北极GNSS海冰漂移数据,采用旋转谱分析等方法,发现二者谱结构相似但振幅不同,提供观测系统设计的频率分辨基准。

AI中文摘要:

海冰漂移是海-气-冰耦合及模式评估的基础,但与北极相比,南大洋的采样长期不足。本研究利用旋转谱分析、主成分分析、浮标间相干性,以及互补的形状与振幅敏感谱差异,对GNSS追踪的海冰漂移时间序列开展跨极对比研究。北极数据聚合为波弗特涡旋与跨极漂移的季节合成数据(2017-2024年);南极数据包含8次异质观测 campaign(2000-2022年),其浮标数量少、持续时间短。经共同质量控制后,跨极最明显的相似性为谱结构:两个区域均呈现强低频方差,且在科里奥利频率附近存在半球适配的旋转增强,该现象被谨慎解释为惯性-半日潮的综合响应。相干性在天气尺度最高,向更高频率衰减。南大洋观测 campaign 处于更高能量包络中,因此相似的频带结构并不意味着漂移振幅相似。主成分可捕捉大量阵列尺度运动,但高累积方差无法替代对更小尺度过程的密集采样。研究结果提供了可迁移的频率分辨基准(主导方差低于0.5 cpd、近惯性带,扩展的北极参考,以及谱形状与振幅的明确分离),为未来观测系统设计提供参考,且无需假设动力学机制完全相同。

英文摘要:

Sea ice drift underpins air-sea-ice coupling and model evaluation, but the Southern Ocean remains chronically undersampled relative to the Arctic. This work presents a cross-polar comparison of GNSS-tracked ice-drift time series using rotary spectral analysis, principal component analysis, inter-buoy coherence, complementary shape- and amplitude-sensitive spectral differences. Arctic data are aggregated into Beaufort Gyre and Transpolar Drift seasonal composites (2017--2024); Antarctic data comprise eight heterogeneous campaigns (2000--2022) with small buoy counts and short durations. After common quality control, the clearest cross-polar similarity is spectral organisation: both regions show strong low-frequency variance and a hemisphere-appropriate rotary enhancement near the Coriolis frequency, interpreted cautiously as a combined inertial--semidiurnal response. Coherence is highest at synoptic scales and declines toward higher frequencies. Southern Ocean campaigns occupy a higher-energy envelope, so similar band structure does not imply similar drift amplitude. Principal components capture much array-scale motion, but high cumulative variance does not substitute for dense sampling of smaller-scale processes. The results provide transferable frequency-resolved benchmarks (dominant variance below 0.5 cpd and in the near-inertial band, an expanded Arctic reference, and explicit separation of spectral shape from amplitude) to inform future observing-system design without assuming identical dynamical regimes.

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