대기 (Atmosphere)

  • 제25권1호
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  • Pages.19-30
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  • 2015
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  • 1598-3560(pISSN)
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  • 2288-3266(eISSN)
한국기상학회 (Korean Meteorological Society)
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Ka-밴드 구름레이더 자료품질 및 구름통계 기초연구

Preliminary Analysis of Data Quality and Cloud Statistics from Ka-Band Cloud Radar

  • 예보영 (경북대학교 천문대기과학과, 천체물리 및 우주론 분야 미래 창의 인재 양성팀) ;
  • 이규원 (경북대학교 천문대기과학과, 천체물리 및 우주론 분야 미래 창의 인재 양성팀) ;
  • 권수현 (경북대학교 천문대기과학과, 천체물리 및 우주론 분야 미래 창의 인재 양성팀) ;
  • 이호우 (경북대학교 천문대기과학과, 천체물리 및 우주론 분야 미래 창의 인재 양성팀) ;
  • 하종철 (기상청 국립기상연구소 예보연구과) ;
  • 김연희 (기상청 국립기상연구소 예보연구과)
  • Ye, Bo-Young (Dept. of Astronomy and Atmospheric Sciences, Research and Training Team for Future Creative Astrophysicists and Cosmologists, Kyungpook National University) ;
  • Lee, GyuWon (Dept. of Astronomy and Atmospheric Sciences, Research and Training Team for Future Creative Astrophysicists and Cosmologists, Kyungpook National University) ;
  • Kwon, Soohyun (Dept. of Astronomy and Atmospheric Sciences, Research and Training Team for Future Creative Astrophysicists and Cosmologists, Kyungpook National University) ;
  • Lee, Ho-Woo (Dept. of Astronomy and Atmospheric Sciences, Research and Training Team for Future Creative Astrophysicists and Cosmologists, Kyungpook National University) ;
  • Ha, Jong-Chul (Forecast Research Laboratory, National Institute of Meteorological Research, Korea Meteorological Administration) ;
  • Kim, Yeon-Hee (Forecast Research Laboratory, National Institute of Meteorological Research, Korea Meteorological Administration)
  • 투고 : 2014.09.22
  • 심사 : 2014.12.31
  • 발행 : 2015.03.31
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초록

The Ka-band cloud radar (KCR) has been operated by the National Institute of Meteorological Research (NIMR) of Korea Meteorological Administration (KMA) at Boseong National Center for Intensive Observation of severe weather since 2013. Evaluation of data quality is an essential process to further analyze cloud information. In this study, we estimate the measurement error and the sampling uncertainty to evaluate data quality. By using vertically pointing data, the statistical uncertainty is obtained by calculating the standard deviation of each radar parameter. The statistical uncertainties decrease as functions of sampling number. The statistical uncertainties of horizontal and vertical reflectivities are identical (0.28 dB). On the other hand, the statistical uncertainties of Doppler velocity (spectrum width) are 2.2 times (1.6 times) larger at the vertical channel. The reflectivity calibration of KCR is also performed using X-band vertically pointing radar (VertiX) and 2-dimensional video disdrometer (2DVD). Since the monitoring of calibration values is useful to evaluate radar condition, the variation of calibration is monitored for five rain events. The average of calibration bias is 10.77 dBZ and standard deviation is 3.69 dB. Finally, the statistical characteristics of cloud properties have been investigated during two months in autumn using calibrated reflectivity. The percentage of clouds is about 26% and 16% on September to October. However, further analyses are required to derive general characteristics of autumn cloud in Korea.

키워드

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피인용 문헌

  1. -LWC relationship using Ka-band cloud radar and a microwave radiometer vol.25, pp.3, 2018, https://doi.org/10.1002/met.1710
  2. Rain‐rate estimation algorithm using signal attenuation of Ka‐band cloud radar pp.1469-8080, 2020, https://doi.org/10.1002/met.1825