KEOP-2007 라디오존데 관측자료를 이용한 장마 특성 분석: Part I. 라디오존데 관측 자료 평가 분석
The Analysis of Changma Structure using Radiosonde Observational Data from KEOP-2007: Part I. the Assessment of the Radiosonde Data
0
조회
0
다운로드
14
인용
0
참고문헌
초록
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.
참고문헌 (13)
- 허복행, "기상 관측자료 실시간 품질관리시스템 I (RQMOD I): 고층자료 품질검사", 한국기상학회 가을학술대회 논문집, pp.312~313 (2006)
- Durre, I., "Overview of the integrated global radiosonde archive", J. Climate, 19, pp.53~68 (2006)
- Eskridge, R. E., "Unexplained discontinuity in the U.S. radiosonde temperature data. Part I: Troposphere", J. Climate, 16, pp.2385~2395 (2003)
- Kwon, H.-T., "Comparison of precipitable water derived from ground-based GPS measurements with radiosonde observations over the Korean Peninsula", J. Meteor. Soc. Japan, 85, pp.733~746 (2007)
- Lorenc, A. C., "On the use of radiosonde humidity observations in mid-latitude NWP", Meteor. Atmos. Phys, 60, pp.3~17 (1996)
- Nakamura, H., "Dry biases of humidity measurements from the Vaisala RS80-A and Meisei RS2-91 radiosondes and from ground-based GPS", J. Meteor. Soc. Japan, 82(1B), pp.277~299 (2004)
- Ovarlez, J, "Comparison of water vapour measurements with data retrieved from ECMWF analyses during the POLINAT experiment", J. Appl. Meteorol, 36, pp.1329~1335 (1997)
- Simmons, A. J., "Stratospheric water vapour and tropical tropopause temperatures in ECMWF analyses and multi- year simulations", Quart. J. Roy. Meteor. Soc, 125, pp.353~386 (1999)
- Turner, D. D., "Dry bias and variability in Vaisala RS80-H radiosondes: The ARM experience", J. Atmos. Oceanic Technol, 20, pp.117~132 (2003)
- Vömel, H., "Radiation dry bias of the Vaisala RS92 humidity sensor", J. Atmos. Oceanic Technol, 24, pp.953~963 (2007)
- Wang, J, "Systematic errors in global radiosonde precipitable water data from comparisons with ground-based GPS measurements", J. Climate, 21, pp.2218~2238 (2008)
- Wang, J., "Corrections of humidity measurement errors from the Vaisala RS80 radiosonde- Application to TOGA COARE data", J. Atmos. Oceanic Technol, 19, pp.981~1002 (2002)
- . WMO, "WMO Guide to Meteorological Instruments and Methods of Observation", WMO Publication No. 8, World Meteorological Organization, ~ (2006)