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从全球地磁观测数据中提取的海洋和电离层潮汐磁场。

Oceanic and ionospheric tidal magnetic fields extracted from global geomagnetic observatory data.

作者信息

Tyler Robert H, Trossman David S

机构信息

NASA Goddard Space Flight Center, Planetary Magnetospheres Laboratory, Greenbelt, Maryland, MD, USA.

Earth System Science Interdisciplinary Center, University of Maryland at College Park, College Park, MD, USA.

出版信息

Philos Trans A Math Phys Eng Sci. 2024 Dec 23;382(2286):20240088. doi: 10.1098/rsta.2024.0088. Epub 2024 Dec 2.

Abstract

Ocean tide generated magnetic fields contain information about changes in ocean heat content and transport that can potentially be retrieved from remotely sensed magnetic data. To provide an important baseline towards developing this potential, tidal signals are extracted from 288 land geomagnetic observatory records having observations within the 50-year time span 1965-2015. The extraction method uses robust iteratively reweighted least squares for a range of models using different predictant and predictor assumptions. The predictants are the time series of the three vector components at each observatory, with versional variations in data selection and processing. The predictors fall into two categories: one using time-harmonic bases and the other that directly use lunar and solar ephemerides with gravitational theory to describe the tidal forces. The ephemerides predictors are shown to perform better (fitting more variance with fewer predictors) than do the time-harmonic predictors, which include the traditional 'Chapman-Miller method'. In fitting the oceanic lunar tidal signals, the predictants with the highest signal/noise involve the 'vertical' magnetic vector component following principle-component rotation. The best simple semidiurnal predictor is the ephemeris series of lunar azimuth weighted by the inverse-cubed lunar distance. More variance is fitted with predictors representing the lunar tidal potential and gradients calculated for each location/time.This article is part of the theme issue 'Magnetometric remote sensing of Earth and planetary oceans'.

摘要

海洋潮产生的磁场包含有关海洋热含量和热量传输变化的信息,这些信息有可能从遥感磁数据中获取。为了为开发这种潜力提供一个重要的基线,从1965年至2015年这50年时间跨度内有观测数据的288个陆地地磁观测站记录中提取潮汐信号。提取方法使用稳健的迭代加权最小二乘法,用于一系列使用不同预测变量和预测因子假设的模型。预测变量是每个观测站三个矢量分量的时间序列,在数据选择和处理方面存在版本差异。预测因子分为两类:一类使用时间谐波基,另一类直接使用带有引力理论的月球和太阳星历表来描述潮汐力。结果表明,星历表预测因子比包括传统“查普曼-米勒方法”在内 的时间谐波预测因子表现更好(用更少的预测因子拟合更多的方差)。在拟合海洋月球潮汐信号时,信噪比最高的预测变量涉及主成分旋转后的“垂直”磁矢量分量。最佳的简单半日预测因子是按月球距离的立方反比加权的月球方位角星历表系列。用代表每个地点/时间计算出的月球潮汐势和梯度的预测因子拟合了更多的方差。本文是主题为“地球和行星海洋的磁力遥感”的一部分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/76d9/11608825/7ccfc659240a/rsta.2024.0088.f001.jpg

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