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Abstract

In this paper we present the flow features of a severe low-level wind shear event near an airport simulated using a high-resolution numerical weather prediction model. The open-source model Weather Research and Forecasting (WRF) was used for the numerical simulations. Our initial analysis shows the ability of the model in capturing the possibility of the wind shear event.

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How to Cite
Arshad Shameem, C., Saravanakumar, J., & Venkatesh, T. (2023). Numerical Simulation of Flow over an Airport During A Low-level Wind Shear Event. Journal of Aerospace Sciences and Technologies, 71(1), 24–29. https://doi.org/10.61653/joast.v71i1.2019.113

References

  1. International Civil Aviation Organization, Manual on Low-level Wind Shear, Doc 9817, AN/449, 2005.
  2. FAA-P-8740-40, AFS-8 (2008), Wind Shear, Federal Aviation Administration.
  3. Hong Kong Observatory, Windshear and Turbulence in Hong Kong - Information for Pilots, 2010.
  4. Windshear Training Aid, Volume 1, 1990.
  5. Wen-Lin Guan and Kay Yong., "Review of Aviation Accidents Caused by Wind Shear and Identification Method".
  6. Chin-Tang Weng., Ching-Shun Ho. and Wen-Lin Guan., "A Study on Wind Shear Identification".
  7. Michalakes, J., Dude’s, J., Gill, D., Henderson, T., Klemp, J. B., Skamarock, W. C. and Wang, W., "The Weather Research and Forecast Model: Software Architecture and Performance", Proceedings of the Eleventh ECMWF Workshop on the Use of High Performance Computing in Meteorology, Editors: Walter Zwieflhofer and George Mozdzynski, 2005.
  8. Klemp, J. B., Skamarock, W. C. and Dudhia, J., "Conservative Split-explicit Time Integration Methods for the Compressible Non-hydrostatic Equations", Monthly Weather Review, 135, 2007, pp.2897-2913.
  9. National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce, 2000: NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999. Research Data Archive at the National Center for Atmospheric Re-search, Computational and Information Systems Laboratory, Boulder, CO. [Available online at https://doi.org/10.5065/D6M043C6.] Accessed 20 Jun 2017.