Abstract
The framework and the amendment terms of DTM2013 atmospheric model are derived based on the historical DTM series model algorithms. The Legendre polynomial coefficients are derived based on the high-order associated Legendre polynomials algorithm. The long term optimal mean of F30 proxy is derived based on fitting polynomial of the F30 proxy historical measured data. The construction of the DTM2013 model algorithm was completed by integrating the inversion parameters. The correctness of the model is verified by comparing the calculation results of the parameter inversion DTM2013 model with that of the ATMOP DTM2013 model. The DTM2013 model and the MSIS00 model calculation accuracy are calculated based on GOCE atmospheric measured data, and the high correlation between the solar radiation proxy deviations and the model accuracies are derived. The solar radiation proxy factors of the model accuracy of the atmospheric models are explained, which proves that F30 proxy has better application value in atmospheric models.
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Acknowledgments
I would like to thank Dr. Stuart Grey of the University of Strathclyde for providing part of the original data for this article, and Prof. Massimiliano Vasile for his help in writing this article.
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Cui, W., Qu, W., Li, H., Chen, N., Ye, N., Sun, Z. (2020). DTM2013 Model Parameter Inversion and Correlation Analysis Between Its Accuracy. In: Sun, J., Yang, C., Xie, J. (eds) China Satellite Navigation Conference (CSNC) 2020 Proceedings: Volume II. CSNC 2020. Lecture Notes in Electrical Engineering, vol 651. Springer, Singapore. https://doi.org/10.1007/978-981-15-3711-0_4
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DOI: https://doi.org/10.1007/978-981-15-3711-0_4
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