A quantitative technique for modeling ionospheric and magnetospheric current distributions

Physics

Scientific paper

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Atmospheric Models, Earth Magnetosphere, Ionospheric Currents, Magnetic Disturbances, Current Density, Distribution Functions, Geomagnetism, Least Squares Method, Random Noise, Root-Mean-Square Errors, White Noise

Scientific paper

Linear inverse theory has been used to generate specific height-integrated current distributions which recreate observed ground-based magnetometer data. The current distributions are found by minimizing functional forms subject to the condition that the observations are reproduced to within a desired accuracy. A theoretical example shows that the 'flattest' model might be particularly insensitive to random errors in the observations.

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