• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2009년도 춘계학술대회 논문집
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• pp.367-370
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• 2009

한국해양연구원에서는 2009년 발사 예정인 통신해양기상위성(COMS: Communication, Ocean and Meteorological Satellite)의 해색센서인 정지궤도 해양위성(GOCI: Geostationary Ocean Color Imager) 데이터의 수신, 처리, 배포를 위한 해양위성센터(KOSC: Korea Ocean Satellite Center)를 구축하고 있다. 2005년 "해양위성센터 구축사업"의 시작으로, 전파 수신 환경 등의 조건을 고려하여, 안산에 위치한 한국해양연구원 본원으로 해양위성센터의 위치를 최종 확정하여 구축을 진행하고 있다. 2009년 3월 현재 수신시스템(GDAS: GOCI Data Aquisition System), 자료전처리시스템(IMPS: Image Pre-processing System), 자료처리시스템(GDPS: GOCI Data Processing System), 자료관리 시스템(DMS: Data Management System), 통합감시제어시스템(TMC: Total Management & Controlling System), 기관간 자료교환시스템(EDES: External Data Exchange System) 등이 구축 완료되었고, 위성자료 배포시스템(DDS: Data Distribution System)을 구축하고 있다. 고용량 데이터의 원활한 전송을 위한 데이터센터를 비롯하여 사용자관점에서의 시스템 구축을 추진하고 있으며, 위성 발사 후 사용자 등록을 시작할 계획이다.

• 대한가정학회지
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• 제31권2호
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• pp.177-188
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• 1993

To obtain a clear understanding of the degree of effect by the food color in diet habits, this study was a survey of the taste for food color. In this study, the term of investigation was tow months(May and Jun. 1992), the object was 10's∼50's women, and the sampling of them at random contain 100 person, respectively. The data-treatment was determinded by frequency, percentage, SD, Chi-square, Spearman's rank order correlation coefficient, Correlation, F-test as measured by SAS program for PC and statistical figures were obtained by GDAS. The results were as follows; 1. Food color in diet habits. : The relationship of food color with appetite by age group was showed to affect all age groups having more then 90%. The concern for food color by age group showed the lowst teenage having 56.7%, showing more then 70% except teenage. When chosen food, The most important characteristics of food was not age group but taste. In the correlation between characteristics, The correlation between color and form, taste and nutrition was showed affirmative. The difference test for the taste of food color and general color was shown, and the level of significance was chosen at 95%. 2. In the correlation between food color and the sense of emotion, The food color of depression and solitude was purple, the color of sadness and crying was white. But in case of only solitude, A statistical significance was shown. 3. In the investigation of taste for food color, the mean of taste degree was high in red, orange, yellow, yellowish green, green, white and low in blue, black. Their statistical significance was shown between colors but, was not shown between age groups. 4. In the relation of food color and associated with food, the colors of associated with food shown a vast difference with natural food color were blue(85.5%), purple(80.0%), pink(41.7%) and yellow(40.0%) but, A red color was not shown the error rate of associated with food color at all. Almost all kinds of associated with food were fruits and vegetables.

• 대기
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• 제22권4호
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• pp.387-400
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• 2012

This study aims at examining the sensitivity of numerical simulations to the resolution of initial and boundary data, and to an application of WRF (Weather Research and Forecasting) 3DVAR (Three Dimension Variational data Assimilation). To do this, we ran the WRF model by using GDAS (Global Data Assimilation System) FNL (Final analyses) and the KLAPS (Korea Local Analysis and Prediction System) analyses as the WRF's initial and boundary data, and by using an initial field made by assimilating the radar data to the KLAPS analyses. For the sensitivity experiment, we selected a heavy rainfall case of 21 September 2010, where there was localized torrential rain, which was recorded as 259.5 mm precipitation in a day at Seoul. The result of the simulation using the FNL as initial and boundary data (FNL exp) showed that the localized heavy rainfall area was not accurately simulated and that the simulated amount of precipitation was about 4% of the observed accumulated precipitation. That of the simulation using KLAPS analyses as initial and boundary data (KLAPC exp) showed that the localized heavy rainfall area was simulated on the northern area of Seoul-Gyeonggi area, which renders rather difference in location, and that the simulated amount was underestimated as about 6.4% of the precipitation. Finally, that of the simulation using an initial field made by assimilating the radar data to the KLAPS using 3DVAR system (KLAP3D exp) showed that the localized heavy rainfall area was located properly on Seoul-Gyeonggi area, but still the amount itself was underestimated as about 29% of the precipitation. Even though KLAP3D exp still showed an underestimation in the precipitation, it showed the best result among them. Even if it is difficult to generalize the effect of data assimilation by one case, this study showed that the radar data assimilation can somewhat improve the accuracy of the simulated precipitation.

• 대기
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• 제24권2호
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• pp.245-251
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• 2014

Statistical trajectory analysis has been widely used to identify potential source regions for chemically and radiatively important chemical species in the atmosphere. The most widely used method is a statistical source-receptor model developed by Stohl (1996), of which the underlying principle is that elevated concentrations at an observation site are proportionally related to both the average concentrations on a specific grid cell where the observed air mass has been passing over and the residence time staying over that grid cell. Thus, the method can compute a residence-time-weighted mean concentration for each grid cell by superimposing the back trajectory domain on the grid matrix. The concentration on a grid cell could be used as a proxy for potential source strength of corresponding species. This technical note describes the statistical trajectory approach and introduces its application to estimate potential source regions of $CO_2$ enhancements observed at Korean Global Atmosphere Watch Observatory in Anmyeon-do. Back trajectories are calculated using HYSPLIT 4 model based on wind fields provided by NCEP GDAS. The identified $CO_2$ potential source regions responsible for the pollution events observed at Anmyeon-do in 2010 were mainly Beijing area and the Northern China where Haerbin, Shenyang and Changchun mega cities are located. This is consistent with bottom-up emission information. In spite of inherent uncertainties of this method in estimating sharp spatial gradients within the vicinity of the emission hot spots, this study suggests that the statistical trajectory analysis can be a useful tool for identifying anthropogenic potential source regions for major GHGs.

• 대한원격탐사학회지
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• 제26권2호
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• pp.263-275
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• 2010

정지궤도 해색탑재체(GOCI, Geostationary Ocean Color Imager)의 주관 운영기관인 해양위성센터 (KOSC, Korea Ocean Satellite Center)는 한국해양연구원에 기반시설을 구축하였다. 또한, 해양위성센터는 수신시스템(GDAS), 전처리시스템(IMPS), 처리시스템(GDPS), 배포시스템(GDDS), 자료교환시스템(DMS), 기관간 자료교환시스템(EDES), 통합감시제어시스템(TMC) 등 GOCI 데이터의 서비스를 위한 준비를 완료하였다. 해양위성센 터에서는 매일 8번 관측되는 GOCI 데이터를 수신하고, 처리하여 배포정책에 따라 Level 1B 이후의 데이터를 사용자에게 배포하게 된다. 여기서는 해양위성센터의 시스템과 배포정책에 대한 개요를 설명하고, 사용자가 해양위성센터의 홈페이지에서 GOCI 데이터를 검색 요청하고 다운로드할 수 있는 방법을 소개한다.

• 한국농림기상학회지
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• 제25권4호
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• pp.415-426
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• 2023

본 연구는 수치모델 바람 자료를 통해서, 중국 비래해충 발원지의 기압별 분포와 바람장미도를 확인하여 풍향과 풍속을 분석하였다. 사용한 수치모델은 Land-Atmosphere Modeling Package (LAMP) - WRF 자료이며, 시공간 해상도는 1시간 간격의 약 20 km 수평해상도 자료이다. 2021년도에 벼멸구와 애멸구가 동시에 관찰된 예찰일인 7월 16일을 대상으로 하였다. 예찰일을 포함하는 7월 8일부터 7월 17일까지 발원지와 우리나라에 850 hPa부터 925 hPa에 이르는 하층대기에 제트 기류가 발생하는지를 살펴보기 위하여 LAMP 바람의 동서, 남북, 연직 성분 자료를 이용하여 풍속을 분석하였다. 바람의 연직 분포결과 비래해충 발생 시기가 될 때 바람이 비래해충 유입에 유리하게 바뀌는 것이 확인되었다. 바람장미도의 분석 결과, 우리나라와 가까운 지점에서 바람의 약 30% 이상이 제트 기류였고, 다섯 지점의 제트 기류의 풍향은 상층보다 하층에서 대부분 우리나라와 일본으로 향하고 있었으며, HYSPLIT의 역궤적 추적을 통해서도 하층 제트가 비래해충의 국내 유입에 영향을 준 것으로 분석이 되었다. 이 연구는 원하는 지점에서의 하층 제트의 풍속과 풍향을 비래해충 발생 시기와 비발생 시기를 비교 분석한 것으로, 국내로 유입되는 비래해충의 시기와 바람 통로에 대한 수평 및 연직적 연관 분석에 도움을 줄 것이다. 국내 144개 시군 농업기술센터에서 운영 중인 공중 포충망 설치 지역에 대한 검토와 평가에도 활용될 수 있을 것이다.