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장기호(Ki-Ho Chang),오성남(Sung-Nam Oh),정기덕(Ki-Deok Jeong),양하영(Ha-Young Yang),이명주(Myoung-Joo Lee),정진임(Jin-Yim Jeong),조요한(Yohan Cho),김효경(Hyo-Kyung Kim),박균명(Gyun-Myeong Park),염성수(Seong-Soo Yum),차주완(Joo-Wan Ch 한국기상학회 2007 대기 Vol.17 No.1
To observe and analyze the cloud and fog characteristics, the METeorological Research Institute (METRI) has established the Cloud Physics Observation System (CPOS) by implementing the cloud observation instruments: Forward Scattering Spectrometer Probe (FSSP), PARticle SIze and VELocity (PARSIVEL), Microwave Radiometer (MWR), Micro Rain Radar (MRR), and 3D-AWS at the Daegwallyeong Enhanced Mountain Weather Observation Center. The cloud-related products of CPOS and the validation status for the size distribution of FSSP, the precipitable water of MWR, and the rainfall rate of MRR and PARSIVEL are described.
북서태평양 태풍 진로의 계절예측시스템 자동화 구축 및 조기 예측성의 검증
진천실(Chun-Sil Jin),허창회(Chang-Hoi Ho),박두선(Doo-Sun R. Park),최우석(Woosuk Choi),김다솔(Dasol Kim),이종호(Jong-Ho Lee),장기호(Ki-Ho Chang),강기룡(Ki-Ryong Kang) 한국기상학회 2014 대기 Vol.24 No.1
The automated prediction system for seasonal tropical cyclone (TC) activity is established at the National Typhoon Center of the Korea Meteorological Administration (KMA) to provide effective operation and control of the system for user who lacks knowledge of the system. For automation of the system, two procedures which include subjective decisions by user are performed in advance, and their output data are provided as input data. To provide the capability to understand the operational processes for operational user, the input and output data are summarized with each process, and the directory structure is reconstructed following KMA’s standard. We introduce a user interface using namelist input parameters to effectively control operational conditions which is fixed or should be manually set in the previous version of the prediction system. To operationally use early prediction which become available through the automation, its performances are evaluated according to initial condition dates. As a result, high correlations between the observed and predicted TC counts are kept for all track clusters even though advancing the initial condition date from May to January.
구리(Ⅱ)-아민류 착물에 의한 l-ascorbic acid의 산화반응속도와 메카니즘
김선덕,박정은,장기호,신한철,김창수,Kim, Sun-Deuk,Park, Jung-Eun,Jang, Ki-Ho,Shin, Han-Chul,Kim, Chang-Su 대한화학회 1995 대한화학회지 Vol.39 No.1
구리(II)-아민류 착물에 의한 l-ascorbic acid의 산화반응속도를 pH 4.6에서 Onishi 방법으로 측정하였다. 이 반응의 메커니즘은 l-ascorbic acid가 구리(II) 착물에 배위된 다음 속도결정단계에서, 전자이동이 일어나는 내부권 메커니즘에 따라 반응이 진행됨을 알았다. The rates for the oxidation reaction of l-ascorbic acid by Cu(Ⅱ)-polyamine complexes were measured by Onish's method at the pH 4.6. The oxidation process of l-ascorbic acid is proposed to occur by the inner-sphere mechanism that involves the formation of a Cu(Ⅱ)-ascorbic acid complex and electron transfer at the rate-determining step.
전방산란스펙트로미터 (FSSP-100)와 마이크로 레디오메타를 이용한 2003년도 대관령 동계 안개 사례 분석
차주완(Joo-Wan Cha),장기호(Ki-Ho Chang),정진임(Jin-Yim Jeong),박균명(Gyun-Myeong Park),양하영(Ha-Young Yang) 한국기상학회 2005 대기 Vol.15 No.3
Using the FSSP-100(FSSP) and Microwave Radiometer (MWR), the fog and clear day characteristics (the size and number concentration of fog particles and the liquid water content) have been measured and analyzed at Daegwallyoung observation site (37°41'N, 128°45'E) during 27 - 30 November 2003 (fog day) and 19 January 2004 (clear day). During the fog days, the measured fog-particle size by using FSSP is 0.8~8.4 ㎛, which is similar to the WMO typical value, the fog number concentration varies from 121 to 200 count (No./㎤) and the fog liquid water content from 0.018 g/㎥ - 0.1 g/㎥ in the site. The precipitable water vapor obtained by the MWR, showing the correlation coefficient R²=0.83 between the total precipitable water vapor obtained from the radio sonde and MWR, shows the larger amount (0.75-8.3 ㎝) during the fog days than the clear-sky data (0.2 ㎝).
기상조절(인공강우와 안개저감)의 경제적 가치 추정 연구
이철규(Chulkyu Lee),장기호(Ki-Ho Chang),차주완(Joo-Wan Cha),정재원(Jae-Won Jung),정진임(Jin-Yim Jeong),양하영(Ha-Young Yang),서성규(Sung-Kyu Seo),배진영(Jin-Young Bae),강선영(Sun-Young Kang),최영진(Young-Jean Choi),조하만(Ha-man Cho) 한국기상학회 2010 대기 Vol.20 No.2
We estimate the economic benefit of weather modification (precipitation enhancement and fog dissipation) by assuming its operation for the considered regions. Based on the statistical data, the economic benefit of the virtually operational precipitation enhancement experiments for the Andong and Imha basins, where the natural precipitation is relatively lack in South Korea, is calculated 348 for the water resources, 22,458 for forest fire prevention, and 28,458 million won/year for the drought relief. The benefit of the fog dissipation operation for the Incheon International Airport is estimated 7,365 million won/year for the flight delay due to fog. The calculated ratio of benefit to cost for precipitation enhancement operation for the basins is 14.07, which is comparable to that conducted in other countries.
강수의 물리적 특성 이해를 위한 MRR 및 PASIVEL 우적계의 관측사례 분석
차주완(Joo-Wan Cha),장기호(Ki-Ho Chang),오성남(Sung -Nam Oh),최영진(Young-Jean Choi),정진임(Jin-Yim Jeong),정재원(Jae-Won Jung),양하영(Ha-Young Yang),배진영(Jin-Young Bae),강선영(Sun-Young Kang) 한국기상학회 2010 대기 Vol.20 No.1
The methods measuring the precipitation drop size distribution(hereafter referred to as DSD) at Cloud Physics Observation System (CPOS) in Daegwallyeong are to use PARSIVEL (PARticle SIze and VELocity) disdrometer (hereafter referred to as PARSIVEL) and Micro Rain Radar (hereafter referred to as MRR). First of all, PARSIVEL and MRR give good correlation coefficients between their rain rates and those of rain gage: R²= 0.93 and 0.91, respectively. For the DSD, the rain rates are classified in 3 categories (Category 1: rr (Rain Rate) ≤ 0.5 ㎜ h?¹, Category 2: 0.5 ㎜ h?¹< rr <4.0 ㎜ h?¹, Category 3: rr ≥ 4 ㎜ h?¹). The shapes of PARSIVEL and MRR DSD are relatively most similar in category 2. In addition, we retrieve the vertical rain rate and liquid water content from MRR under melting layer, calculated by Cha et al’s method, in Daegwallyeong (37°41' N,128°45' E, 843 m ASL, mountain area) and Haenam (34°33' N,126°34' E, 4.6 m ASL, coast area). The vertical variations of rain rate and liquid water content in Daegwallyeong are smaller than those in Haenam. We think that this different vertical rain rate characteristic for both sites is due to the vertical different cloud type (convective and stratiform cloud seem dominant at Haenam and Daegwallyeong, respectively). This suggests that the statistical precipitation DSD model, for the application of weather radar and numerical simulation of precipitation processes, be considered differently for the region, which will be performed in near future.