The Analysis of Changma Structure using Radiosonde Observational Data from KEOP-2007: Part I. the Assessment of the Radiosonde Data

KEOP-2007 라디오존데 관측자료를 이용한 장마 특성 분석: Part I. 라디오존데 관측 자료 평가 분석

  • Kim, Ki-Hoon (Forecast Research Laboratory, National Institute of Meteorological Research, KMA) ;
  • Kim, Yeon-Hee (Forecast Research Laboratory, National Institute of Meteorological Research, KMA) ;
  • Chang, Dong-Eon (Forecast Research Laboratory, National Institute of Meteorological Research, KMA)
  • 김기훈 (국립기상연구소 예보연구과) ;
  • 김연희 (국립기상연구소 예보연구과) ;
  • 장동언 (국립기상연구소 예보연구과)
  • Received : 2009.03.24
  • Accepted : 2009.05.21
  • Published : 2009.06.01

Abstract

In order to investigate the characteristics of Changma over the Korean peninsula, KEOP-2007 IOP (Intensive Observing Period) was conducted from 15 June 2007 to 15 July 2007. KEOP-2007 IOP is high spatial and temporal radiosonde observations (RAOB) which consisted of three special stations (Munsan, Haenam, and Ieodo) from National Institute of Meteorological Research, five operational stations (Sokcho, Baengnyeongdo, Pohang, Heuksando, and Gosan) from Korea Meteorological Administration (KMA), and two operational stations (Osan and Gwangju) from Korean Air Force (KAF) using four different types of radiosonde sensors. The error statistics of the sensor of radiosonde were investigated using quality control check. The minimum and maximum error frequency appears at the sensor of RS92-SGP and RS1524L respectively. The error frequency of DFM-06 tends to increase below 200 hPa but RS80-15L and RS1524L show vice versa. Especially, the error frequency of RS1524L tends to increase rapidly over 200 hPa. Systematic biases of radiosonde show warm biases in case of temperature and dry biases in case of relative humidity compared with ECMWF (European Center for Medium-Range Weather Forecast) analysis data and precipitable water vapor from GPS. The maximum and minimum values of systematic bias appear at the sensor of DFM-06 and RS92-SGP in case of temperature and RS80-15L and DFM-06 in case of relative humidity. The systematic warm and dry biases at all sensors tend to increase during daytime than nighttime because air temperature around sensor increases from the solar heating during daytime. Systematic biases of radiosonde are affected by the sensor type and the height of the sun but random errors are more correlated with the moisture conditions at each observation station.

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