한국지구과학회지 (Journal of the Korean earth science society)

  • 제34권7호
  • /
  • Pages.626-632
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  • 2013
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  • 1225-6692(pISSN)
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  • 2287-4518(eISSN)
한국지구과학회 (The Korean Earth Science Society)
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GPS 관측소 기선 처리에 따른 가강수량 특성 분석

The Characteristic Analysis of Precipitable Water Vapor According to GPS Observation Baseline Determination

  • 임윤규 (국립기상연구소 예보연구과 재해기상연구센터) ;
  • 한상옥 (국립기상연구소 예보연구과 재해기상연구센터) ;
  • 정승필 (국립기상연구소 예보연구과 재해기상연구센터) ;
  • 성지혜 (국립기상연구소 예보연구과 재해기상연구센터)
  • Lim, Yun-Kyu (High Impact Weather Research Center, National Institute of Meteorological Research) ;
  • Han, Sang-Ok (High Impact Weather Research Center, National Institute of Meteorological Research) ;
  • Jung, Sueng-Pil (High Impact Weather Research Center, National Institute of Meteorological Research) ;
  • Seong, Ji-Hye (High Impact Weather Research Center, National Institute of Meteorological Research)
  • 투고 : 2013.09.30
  • 심사 : 2013.11.08
  • 발행 : 2013.12.31
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초록

본 연구에서는 겨울철 특별관측기간(2012년 1월 5일에서 2월 29일)동안 강원지방기상청에 설치된 GPS 자료를 이용하여 가강수량을 산정하고 이를 라디오존데 가강수량 자료와 비교 분석하였다. GPS 자료를 후처리하기 위하여 Bernese 5.0 소프트웨어를 사용하였다. GANG 단독측위와 GANG, DAEJ의 비교적 짧은 거리의 두 지점만을 이용한 상대측위 결과에 따른 가강수량은 시간에 따른 변동폭이 크고 실제 환산된 가강수량에 비해 5배 정도 크게 나타났다. 이러한 대류권 절대 오차에 의한 오류를 제거하기 위한 방법으로 Xian Dao (BJFS), Ibaraki-ken (TSKB) 국제 IGS 사이트의 장거리 기선설정으로 GPS 후처리를 실시한 결과 라디오존데 관측값과 상관이 0.93, 평균편의오차가 0.67, 평균제곱근오차가 6.40 수준으로 나타났다. 또한 GPS 수신기 고도 차이로 발생할 수 있는 대류권 상대 오차를 제거하기위해 강원지방기상청과 아주 가까운 지점인 강릉 원주대학교에 설치된 GPS 자료를 추가하여 후처리한 결과 상관이 0.93, 평균편의오차가 0.61, 평균제곱근오차가 5.79로 보다 개선된 결과를 보였다.

In this study the GPS Precipitable Water Vapor (PWV) was derived and evaluated by a radiosode measure during the winter intensive observation in Gangneung site from January 5 till February 29 in 2012. Bernise 5.0 software was used to derive the GPS data. GPS-derived PWV from Zero difference (GANG) and Single difference (GANG and DAEJ) was high variance in time and about 5 times the PWV of radiosonde. GPS post-processing has been performed from two additional IGS site (Xian Dao, Ibaraki-ken) in order to correct the absolute troposphere errors. As a result, the mean bias error (MBE) and root mean square error (RMSE) and correlation compared with radiosonde measure were 0.67 mm, 6.40 mm, and 0.93, respectively. In order to correct the relative troposphere errors from the altitudinal difference between the two GPS receivers, we calculated the GPS-derived PWV by adding the data of GPS that was installed in Gangneung-Wonju University near the Gangwon Regional Meteorological Administration. In the end, the improved result showed that MBE, RMSE and correlation in comparison with radiosonde measures were 0.61 mm, 5.79 mm, and 0.93, respectively.

키워드

참고문헌

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피인용 문헌

  1. A Study on the Effect of Ground-based GPS Data Assimilation into Very-short-range Prediction Model vol.25, pp.4, 2015, https://doi.org/10.14191/Atmos.2015.25.4.623
  2. Analysis on Characteristics of Radiosonde Sensors Bias Using Precipitable Water Vapor from Sokcho Global Navigation Satellite System Observatory vol.32, pp.3, 2016, https://doi.org/10.7780/kjrs.2016.32.3.6