New method for constructing atmospheric refractivity profile model

Li Zhenfeng; Yang Hailong; Wang Yuanlong; Fan Wenguang; Li Junliang; Li Wusheng

doi:10.11884/HPLPB201527.103255

Volume 27 Issue 10

Oct. 2015

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Article Navigation > High Power Laser and Particle Beams > 2015 > 27(10): 103255

Li Zhenfeng, Yang Hailong, Wang Yuanlong, et al. New method for constructing atmospheric refractivity profile model[J]. High Power Laser and Particle Beams, 2015, 27: 103255. doi: 10.11884/HPLPB201527.103255

Citation:

Li Zhenfeng, Yang Hailong, Wang Yuanlong, et al. New method for constructing atmospheric refractivity profile model[J]. High Power Laser and Particle Beams, 2015, 27: 103255. doi: 10.11884/HPLPB201527.103255

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New method for constructing atmospheric refractivity profile model

doi: 10.11884/HPLPB201527.103255

1.
Luoyang Electronic Equipment Test Center of China,Luoyang 471003,China

Received Date: 2015-05-18
Rev Recd Date: 2015-08-13
Publish Date: 2015-10-13

Abstract

Abstract

It is difficult to select an optimal atmospheric dry refractivity profile model from the existing models for practical applications. As the atmospheric wet refractivity profile model has a lower precision, the demand to construct an improved model of atmospheric refractivity profile using measured sounding data based on wavelet-based clustering technology and EOF(Empirical Orthogonal Function) analysis method arises. Results showed that the improved model is more accurate than the existing models. The part of dry refractivity profile model can fully consider the local climatic features, and wet part has a higher precision (about 6 unit of atmospheric refractivity) than the existing models by subdividing weather types into four categories. Meanwhile, the weather classification method can be more easily understood by non-meteorological professionals to promote the application of the improved model.
- atmospheric refractivity profile,
- improved model,
- atmospheric wet refractivity profile model,
- wavelet-based clustering,
- EOF

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