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RISS 인기검색어
- 검색키워드
- 저자 : 류상범(Sang-Boom Ryoo) (검색결과 28 건)
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류상범,오재호,이진숙,이경민,Ryoo, Sang-Boom,Oh, Jai-Ho,Lee, Jin-Suk,Lee, Kyoung-Min 한국제4기학회 2005 제사기학회지 Vol.19 No.1
The East Asian summermonsoon is generally accompanied with the quasi-stationary front along the northern and northwestern periphery of the subtropical Northwest Pacific high. The rainy season in Korea has been called as Changma since the middle of 1500s. Understanding of Changma and heavy rainfall advancing along the Changma front is one of main interesting of Korean meteorologists. This study briefly summarized the descriptive characteristics of Changma and its relatedmechanism, definitions on the Changma period, and etymology of Changma through reviewing the previous studies on Changma.
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류상범(Sang-Boom Ryoo),김연희(Yeon-Hee Kim) 한국기상학회 2007 대기 Vol.17 No.1
The station relocations, the replacement of instruments, and the change of a procedure for calculating derived climatic quantities from observations are well-known nonclimatic factors that seriously contaminate the worthwhile results in climate study. Prior to embarking on the climatological analysis, therefore, the quality and homogeneity of the utilized data sets should be properly evaluated with metadata. According to the metadata of the Korea Meteorological Administration (KMA), there have been plenty of changes in the procedure computing the daily mean values of temperature, humidity, etc, since 1904. For routine climatological work, it is customary to compute approximate daily mean values for individual days from values observed at fixed hours. In the KMA, fixed hours were totally 5 times changed: at four-hourly, four-hourly interval with additional 12 hour, eight-hourly, six-hourly, three-hourly intervals. In this paper, the homogeneity in the daily mean temperature dataset of the KMA was assessed with the consistency and efficiency of point estimators. We used the daily mean calculated from the 24 hourly readings as a potential true value. Approximate daily means computed from temperatures observed at different fixed hours have statistically different properties. So this inhomogeneity in KMA climate data should be kept in mind if you want to analysis secular aspects of Korea climate using this data set.
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류상범(Sang-Boom Ryoo),김연희(Yeon-Hee Kim),권태헌(Tae-Hyeon Kwon),박일수(Il-Soo Park) 한국기상학회 2006 대기 Vol.16 No.3
Among observational, local-environmental, and large-scale factors causing significant changes in climate records, the site relocations and the replacement of the instruments are well-known nonclimatic factors for the analysis of climatic trends, climatic variability, and for the detection of anthropogenic climate change such as heat-island effect and global warming. Using dataset that were contaminated by these nonclimatic factors can affect seriously the assessment of climatic trends and variability, and the detection of the climatic change signal. In this paper, the inhomogeneities, which have been caused by relocation of the observation site, in the climate data of Korea Meteorological Administration (KMA) were examined using two-phase regression model. The observations of pan evaporation and wind speed are more sensitive to site relocations than those of other meteorological elements, such as daily mean, maximum and minimum temperatures, with regardless to region.
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문병관 ( Moon Byung Kwan ),류상범 ( Ryoo Sang Boom ),윤용훈 ( Youn Yong Hoon ),임종환 ( Lim Jong Hwan ),김준 ( Kim Jun ) 한국농림기상학회 2003 한국농림기상학회지 Vol.5 No.2
순복사는 지표 에너지 수지의 가장 근본적인 요소중 하나이다. 순복사의 정확한 관측을 위해, 주기적이고 지속적인 순복사계 보정이 요구된다. 플럭스 관측에 널리 사용되는, 두 가지 타입의 대표적인 순복사계(Q-7.1과 CNR1)의 상호 비교 및 보정 실험이 약 4개월 간격으로 두 차례 시행되었다. Q-7.1과 CNR1간의 차이는 7.7% 이내였고, 표준 기기와의 보정 후 오차는 3.2% 이내였다. 순복사계의 반응 차이와 보정계수는 대기 상태, 특히 계절 변화에 따른 온도 차이에 따라 다르게 나타났다. 결론적으로, 주기적으로 보정된 Q-7.1은 CNR1을 대체하여 장기 관측에 사용될 수 있고, 보정 주기로는 4-6개월이 권장된다. Net radiation (Rn) is one of the most fundamental components in surface energy budget. For an accurate measurement of Rn, periodic and consistent calibrations of net radiometers are required. With a 4-month time interval, two field experiments were conducted to inter-compare and calibrate two types of net radiometers (the Q-7.1 and the CNR1), widely used in flux measurements. Differences between the Q-7.1 and the CNR1 net radiometers were within 7.7%, and the errors after calibration against the standard net radiometer were <3.2%. Radiometric responses and calibration factors appeared to have changed with sky conditions, especially temperature difference with season`s progress. We concluded that the periodically calibrated Q-7.1 can replace more expensive, more accurate CNR1 net radiometer for long-term field measurements, providing that field calibrations of net radiometers are performed every 4 - 6 months intervaL
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