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Post Flight Analysis Using Numerical Weather Prediction Data, KLAPS

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Abstract

Numerical weather prediction data, in this study, were proposed to replace the meteorological measurement data acquired by widely used radiosonde, for the purpose of constructing atmospheric environment model applying to post flight analysis, especially evaluating aerodynamic performance in flight. KLAPS (Korea Local Analysis and Prediction System), the numerical weather model used in this study, is provided by the Korea Meteorological Administration every hour through the Internet and contains the meteorological information for a local region around the Korean peninsula, which is expected to give some advantage in the acquisition of regional and temporal variation of atmosphere state over the radiosonde measurement which has some drawbacks of acquiring data on only one point at one height while drifting via wind and taking some hours to climb up to 30 km high. The accuracy of KLAPS was verified by regenerating vertical distributions of atmospheric properties at the same locations and times as radiosonde measured and comparing them. Post flight analysis was carried out with an atmosphere environment model based on KLAPS and proved that the numerical weather model can provide an accurate atmospheric environment model enough to substitute the radiosonde measurement data.

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  • 10 April 2022

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Authors and Affiliations

  1. Agency for Defense Development, Daejeon, South Korea

    Suk Young Jung (Principal Researcher), Jae Eun Lee (Senior Researcher), Min-Gyu Kim (Principal Researcher) & Seong-Hyeon Park (Senior Researcher)

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  1. Suk Young Jung
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  2. Jae Eun Lee
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  3. Min-Gyu Kim
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  4. Seong-Hyeon Park
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Correspondence to Suk Young Jung.

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Jung, S.Y., Lee, J.E., Kim, MG. et al. Post Flight Analysis Using Numerical Weather Prediction Data, KLAPS. Int. J. Aeronaut. Space Sci. 23, 434–445 (2022). https://doi.org/10.1007/s42405-022-00453-8

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  • DOI: https://doi.org/10.1007/s42405-022-00453-8

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