MSSA of globally gridded OAM from ECCO, AAM from ECMWF, and gravity from GRACE

L. Zotov, Elena Scheplova
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引用次数: 3

Abstract

Multichannel singular spectrum analysis (MSSA) is applied to the globally gridded oceanic angular momentum (OAM) data from ECCO (KF080) model, Atmospheric Angular Momentum from ECMWF model, and Earth gravity field from GRACE satellites. Principal components of the oceanic, atmospheric, and hydrological changes and their influence on the rotation of the Earth (polar motion PM and length of day LOD) are extracted. The regions where mass and motion terms make the largest input into PM excitation and LOD changes are identified. The trends, annual, and other global-scale modes are separated. Multichannel singular spectrum analysis is found to be a promising method for signal filtering and modes decomposition. Possible connections between climate change and Earth rotation are discussed.
ECCO全球网格OAM、ECMWF全球网格AAM和GRACE全球网格重力的msa
将多通道奇异谱分析(MSSA)应用于ECCO (KF080)模式的全球网格化海洋角动量(OAM)数据、ECMWF模式的大气角动量(Atmospheric角动量)数据和GRACE卫星的地球重力场数据。提取了海洋、大气和水文变化的主成分及其对地球自转的影响(极运动PM和日长LOD)。确定了质量和运动项对PM激励和LOD变化输入最大的区域。趋势模式、年度模式和其他全球尺度模式是分开的。多通道奇异谱分析是一种很有前途的信号滤波和模态分解方法。讨论了气候变化与地球自转之间可能存在的联系。
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