Analysis on Predictability of Meteorological Parameters of the 1 Km Resolution using WRF Meteorological Model in Southern Kyonggi-do Area

Authors

  • Jae-Ho An School of Civil & Environmental Engineering, Hankyong National University, Anseong 17579, Korea
  • Sung Yung Yoo Institute of Ecological Phytochemistry, Hankyong National University, Anseong 17579, Korea

DOI:

https://doi.org/10.53555/ans.v8i2.2029

Keywords:

Statistical analysis, Meteorological parameters, Horizontal Grid resolution, WRF model

Abstract

WRF meteorological model is applied to investigate the mesoscale meteorological phenomena in southern Kyonggi-do area. Statistical analysis of meteorological parameters with 1-Km horizontal grid resolution was performed. For this purpose, the numerical simulation of WRF meteorology model is carried out during June in year 2011. The statistical analysis between real measurement and simulated meteorological parameters is done using IBM's SPSS Ver.21 program. The simulated results of 1 km grid resolutions were statistically analyzed with the observations in 4 surface meteorology weather stations of Songdo, Siheung, Yongin, Osan. The correlation coefficient(R2) between model simulation and real-measurement of air temperature and wind speed with high grid resolution (1 km) showed good agreement. Statistical credibility of the predicted meteorological parameters (air temperature, wind speed) permits us to conclude that the WRF meteorology model can be applied to analyze the regional air pollution dispersion in these regions.

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Published

2022-02-28

How to Cite

An, J.-H. ., & Yoo, S. Y. (2022). Analysis on Predictability of Meteorological Parameters of the 1 Km Resolution using WRF Meteorological Model in Southern Kyonggi-do Area. International Journal For Research In Applied And Natural Science, 8(2), 01–09. https://doi.org/10.53555/ans.v8i2.2029

Issue

Vol. 8 No. 2 (2022): International Journal For Research In Applied And Natural Science (ISSN: 2208-2085)

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Articles

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Copyright (c) 2022 International Journal For Research In Applied And Natural Science (ISSN: 2208-2085)

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