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Data fitting and modeling of regional geomagnetic field

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Abstract

The selection of the truncation level (TL) and the control of boundary effect (BE) are critical in regional geomagnetic field models that are based on data fitting. We combine Taylor and Legendre polynomials to model geomagnetic data over mainland China for years 1960, 1970, 1990, and 2000. To tackle the TL and BE problems, we first determine the range of TL by calculating the root-mean-square error (RMSE) of the models. Next, we determine the optimum TL using the Akaike information criterion (AIC) and the normalized rootmean- square error (NRMSE). We use the regional anomaly addition (RAA) and the uniform addition (UA) method to add supplementary point outside the national boundary, and find that the intensities of extreme points gradually decrease and stabilize. The UA method better controls BEs over China, whereas the RAA method does a better job at smaller scales. In summary, we rely on a three-step method to determine the optimum TL and propose criteria to determine the optimum number of supplementary points.

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Authors and Affiliations

  1. The College of Mathematics and Statistics, Nanjing University of Information Science & Technology, Nanjing, 210044, China

    Yan Feng & Yong Jiang

  2. Sate Key Laboratory of Space Weather, Chinese Academy of Sciences, Beijing, 100080, China

    Yan Feng

  3. Remote Sensing Application and Experiment Station of National Satellite Meteorological Center/Guangxi Meteorological Disaster Mitigation Institute, Nanning, 530022, China

    Han Sun

Authors
  1. Yan Feng
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  2. Han Sun
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  3. Yong Jiang
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Corresponding author

Correspondence to Yan Feng.

Additional information

Feng Yan, Ph. D. is working at the College of Mathematics and Statistics, Nanjing University of Information Science & Technology. His research interests are modeling of regional and global geomagnetic fields, geomagnetic field secular variation and the interrelation between geomagnetic field and CMB, and the relation between geomagnetic field and space weather.

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Feng, Y., Sun, H. & Jiang, Y. Data fitting and modeling of regional geomagnetic field. Appl. Geophys. 12, 303–316 (2015). https://doi.org/10.1007/s11770-015-0500-6

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  • DOI: https://doi.org/10.1007/s11770-015-0500-6

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