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RISS 활용도 분석
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일본/중국/유럽자료
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최신/인기 학술자료
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해외논문구매대행(E-DDS)
http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : 류상범(Sang-Boom Ryoo) (검색결과 29 건) 검색분석정보 보기
- 무료
- 기관 내 무료
- 유료
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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),권태헌(Tae-Hyeon Kwon),박일수(Il-Soo Park) 한국기상학회 2006 大氣 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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류상범(Sang-Boom Ryoo),김연희(Yeon-Hee Kim) 한국기상학회 2007 大氣 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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DBpia
