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Model Simulation of Melting Layer Based on Wind Profile Radar Data

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Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems (AsiaSim 2016, SCS AutumnSim 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 644))

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Abstract

Based on the wind profile radar data during stratiform precipitation processes in Beijing, a model of melting layer which describes the spectral parameter features has been presented. This model is applied to the simulation of WPR FFT data using Gaussian distribution. The simulated WPR FFT data proved to be effective for presenting the echo signal of precipitation particles compared with real data. The application in WPR terminal software test indicates the practicability of this melting layer model in software improvement.

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Author information

Authors and Affiliations

  1. Institute of Meteorology, PLA University of Science and Technology, Nanjing, 211101, China

    Zhengyu Zhang & Taichang Gao

  2. Beijing Institute of Applied Meteorology, Beijing, 100029, China

    Zhengyu Zhang, Zhengang Xue & Liren Xu

Authors
  1. Zhengyu Zhang
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  2. Zhengang Xue
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  3. Liren Xu
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  4. Taichang Gao
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Corresponding author

Correspondence to Zhengyu Zhang .

Editor information

Editors and Affiliations

  1. Beihang University , Beijing, China

    Lin Zhang

  2. Beihang University , Beijing, China

    Xiao Song

  3. Beihang University , Beijing, China

    Yunjie Wu

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© 2016 Springer Science+Business Media Singapore

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Zhang, Z., Xue, Z., Xu, L., Gao, T. (2016). Model Simulation of Melting Layer Based on Wind Profile Radar Data. In: Zhang, L., Song, X., Wu, Y. (eds) Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems. AsiaSim SCS AutumnSim 2016 2016. Communications in Computer and Information Science, vol 644. Springer, Singapore. https://doi.org/10.1007/978-981-10-2666-9_33

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  • DOI: https://doi.org/10.1007/978-981-10-2666-9_33

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2665-2

  • Online ISBN: 978-981-10-2666-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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