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Open AccessArticle

Frontal Wind Field Retrieval Based on UHF Wind Profiler Radars and S-Band Radars Network

1
Geo-Sciences Institute, Pukyong National University, 45, Yongso-Ro, Nam-Gu, Busan 48513, Korea
2
Laboratoire d’Aérologie, Université de Toulouse III, CNRS, UPS, 31400 Toulouse, France
3
Department of Environmental Atmospheric Sciences, Pukyong National University, 45, Yongso-Ro, Nam-Gu, Busan 48513, Korea
*
Author to whom correspondence should be addressed.
Atmosphere 2019, 10(9), 547; https://doi.org/10.3390/atmos10090547
Received: 31 July 2019 / Revised: 5 September 2019 / Accepted: 12 September 2019 / Published: 14 September 2019
The three-dimensional wind field (WPR3D) and the multiple WPR3D (M-WPR3D) associated with the passage of a stationary front was derived from observations made by a network of eight wind profiler radars (WPR) being operated by the Korea Meteorological Administration during the summer “Jangma” season. The effectiveness of the WPR3D was determined through numerical model analysis and wind profilers at three sites, and the accuracy of the M-WPR3D was validated by comparing the trajectory of the radiosonde. The discontinuity of the wind field near the frontal interface was clearly retrieved and the penetration of the air mass in the southern front was detected. Compared with either the wind vector of three single wind profiler or a local data assimilation and predication system, the WPR3D wind field showed a wind speed accuracy of approximately 70% at an altitude of 1.5 km and underestimated the wind speed by 0.5–1.5 m s−1. The M-WPR3D with three S-band Doppler radars successfully retrieved the backing wind field as well as the pre-Jangma-frontal jet. The results of this study showed that severe weather can be effectively analyzed using a three-dimensional wind field generated on the basis of a remote sensing network. View Full-Text
Keywords: wind profiler network; triangle method; volume velocity processing; Jangma front; air mass trajectory; atmospheric instability wind profiler network; triangle method; volume velocity processing; Jangma front; air mass trajectory; atmospheric instability
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Kim, M.-S.; Campistron, B.; Kwon, B.H. Frontal Wind Field Retrieval Based on UHF Wind Profiler Radars and S-Band Radars Network. Atmosphere 2019, 10, 547.

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