Geomagnetic Field的遥感及其在气候预测中的应用
Remote Sensing of Geomagnetic Field and Applications to Climate Prediction
摘要：
观测结果表明，地磁场线与大气环流模式密切相关，地磁场变化是气候变化的前兆。观测到的全球地磁场与对流层天气型密切相关的确切机制尚不清楚。本文提出了一个普遍的大气涡旋动力学理论，它表明全球地磁场、大气电场和天气系统是一个半永久尺度不变的分层大气涡旋连续统的表现。定量方程的推导表明，完整的连续大气涡旋存在作为一个统一的整体，并起源于浮力能量供应的摩擦湍流在行星表面。大涡增长发生在湍流尺度上，通过普遍的倍周期途径到达混沌。湍流涡旋在大涡旋包络线上向上传播，湍流涡旋波动导致负空间电荷从较高水平向下传输，同时正空间电荷从表面水平向上传输，从而发生垂直混合。因此，涡流环流产生了大规模的垂直气溶胶流，其具有正确的符号和大小，以产生地磁场的水平分量。因此，大气环流模式会在地磁场线上留下特征，其全球变化可以很容易地由卫星传感器监测，从而有助于天气和气候预测。
英文摘要：
Observations show that geomagnetic field lines follow closely the atmospheric circulation patterns and that geomagnetic field variations are precursors to climate change . The exact mechanism for the observed close relationship between global geomagnetic field and the tropospheric weather patterns is not clear. In this paper a universal theory of atmospheric eddy dynamics is presented which shows that the global geomagnetic field, atmospheric electric field and weather systems are manifestations of a semi permanent scale invariant hierarchical atmospheric eddy continuum. Quantitative equations are derived to show that the full continuum of atmospheric eddies exist as a unified whole and originate from buoyant energy supply from frictional turbulence at the planetary surface . Large eddy growth occurs from turbulence scale by the universal period doubling route to chaos . The turbulent eddies are carried upwards on the large eddy envelopes and vertical mixing occurs by the turbulent eddy fluctuations resulting in downward transport of negative space charges from higher levels and simultaneous upward transport of positive space charges from surface levels. The eddy circulations therefore generate a large-scale vertical aerosol current, which is of the correct sign and magnitude to generate the horizontal component of the geomagnetic field. Therefore, atmospheric circulation patterns leave signature on the geomagnetic field lines whose global variations can be easily monitored by satellite borne sensors and thus assist in weather and climate prediction.
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