• 정보과학회 컴퓨팅의 실제 논문지
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• 제23권12호
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• pp.660-669
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• 2017

고정된 정적 이미지 형태의 정보제공자 중심 웹기반 또는 지도 상호작용을 통한 시 공간 연속적 정보제공이 가능하나 시스템의 확장성, 서비스 속도, 비표준 인터넷 웹환경, 사용자 접근성, 시 공간 변동성 표현 등에 제한이 있는 웹 GIS 기반 해양정보제공시스템을 개선하고자 HTML5와 동적 파티클을 이용한 웹기반 해양정보 가시화시스템을 구축하였다. 특히 위성을 통한 시 공간 연속 관측자료와 3차원 수치모델을 통해 생산되는 재분석 및 예측자료는 지리정보 기반의 이질적 대용량의 다차원 연속적 시 공간 변동성을 갖는 해양자료이다. 이에 대한 직관적이고 효과적인 이해와 활용을 위하여 동적 파티클을 이용하여 벡터성분의 해양변수 시공간 변동성 지리정보와 연동하여 가시화 하였고, 차세대 웹 플랫폼 표준인 HTML5와 WebGL, Canvas, D3, Leaflet map등의 오픈 라이브러리를 이용하여 구축된 해양정보 가시화시스템에 대해 소개하고자 한다.

• 한국기후변화학회지
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• 제6권1호
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• pp.55-60
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• 2015

Agro-Meteorological Information Service (AMIS) network has been established since 2001 by Rural Development Administration (RDA) in Korea, and has provided access to current and historical weather data with useful information for agricultural activities. AMIS network includes 158 automated weather stations located mostly in farm region, with planning to increase by 200 stations until 2017. Agrometeorological information is disseminated via the web site (http://weather.rda.go.kr) to growers, researchers, and extension service officials. Our services will give enhanced information from observation data (temperature, precipitation, etc.) to application information, such as drought index, agro-climatic map, and early warning service. AMIS network of RDA will help the implementation of an early warning service for weather risk management.

• 대기
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• 제31권5호
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• pp.525-537
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• 2021

Black ices on road surfaces in winter tend to cause severe and terrible accidents. It is very difficult to detect black ice events in advance due to their localities as well as sensitivities to surface and upper meteorological variables. This study develops a methodology to detect the road sections vulnerable to black ice with the use of road surface temperature data obtained from a mobile road weather observation vehicle. The 7 experiments were conducted on the route from Nam-Wonju IC to Nam-Andong IC (132.5 km) on the Jungang Expressway during the period from December 2020 to February 2021. Firstly, temporal road surface temperature data were converted to the spatial data with a 50 m resolution. Then, the spatial road surface temperature was normalized with zero mean and one standard deviation using a simple normalization, a linear de-trend and normalization, and a low-pass filter and normalization. The resulting road thermal map was calculated in terms of road surface temperature differences. A road ice index was suggested using the normalized road temperatures and their horizontal differences. Road sections vulnerable to black ice were derived from road ice indices and verified with respect to road geometry and sky view, etc. It was found that black ice could occur not only over bridges, but also roads with a low sky view factor. These results are expected to be applicable to the alarm service for black ice to drivers.

• KIEAE Journal
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• 제3권1호
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• pp.5-12
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• 2003

Using the wind, we can get a thermal comfort in summer. In winter we must shut out the wind. To achieve sustainable environmental building design, especially wind data is very important. The wind direction and wind velocity of 32 cities were analyzed to suggest the wind map of Korea. The weather data which was used in this paper was from National Weather Service(19711.1~2000.12.31). The results of this study are 1) The monthly wind velocity of Seoul is 1.1m/s-3.8m/s. 2) The maximum wind velocity could be estimated from the annual average wind velocity. The regression curve is Y(The maximum wind velocity)=6.369732 X(annual average wind velocity) + 6.391668 (P< 9.66E-12). 3) The wind velocity at the inland area which is far from 25km sea side is smaller than coastal area. The distance from the sea is major index of wind velocity. 4) The monthly wind direction was compared inland area with coastal area. 5) The uniform-velocity line on the Korean map was obtained.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2017년도 학술발표회
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• pp.467-467
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• 2017

토양수분 및 황사발생 연구에 있어 효율적인 광역 분석을 위하여 위성자료가 활용되고 있다. 활용 시나리오에 따라서는 준실시간 자료 수신, 처리가 필요하며 본 연구에서는 이에 대한 방안을 연구하기 위하여 유럽 EUMETSAT(European Organisation for the Exploitation of Meteorological Satellites)의 ASCAT(Advanced Scatterometer) Metop-A 자료에 대하여 파악하였다. 자료 수신 프로토콜에 있어서 FTP, HTTP 등 전통적 방법에 대한 현황과 함께 비교적 최근 기법인 OGC(Open Geospatial Consortium)　 WMS(Web Map Service), WCS(Web Coverage Service) 방식의 지원 현황에 대하여 확인하였다. 제공되는 자료 Format부분은 EPS Native와 BUFR(Binary Universal Form for the Representation of meteorological data)을 살펴보되 데이터 프로바이더 측에서 대부분 채택되고 있는 NetCDF(network Common Data Form)를 중심으로 파악하였다. 수신된 자료의 처리 자동화를 위한 소프트웨어는 OSGeo(The Open Source Geospatial Foundation)의 GDAL(Geospatial Data Abstraction Library), 미국 NCAR(National Center for Atmospheric Research)의 NCL(NCAR Command Language)을 중심으로 확인하였다. 자료 가공기법은 격자(Raster) 자료에 대한 기본 메타정보 확인, 좌표참조체계 변환, 해상도 및 Format 변환을 중심으로 확인하였다. 한편 OGC WMS, WCS는 자료의 전송 프로토콜 기법이면서 동시에 서버 사이드에서의 자료 변환 기능을 구비하고 있다. 예를 들어 Http Request에서 영역(Extent), Format 형식, 좌표참조체계를 지정할 수 있다. OGC WMS에 대한 EUMETSAT 파일럿 서비스에서 반환 자료의 공간적 영역, 복수 시점 제공 현황, 반환 포맷 지원 상황은 실제 메서드를 사용하여 파악하였고, 향후 발전 방향을 전망하였다.

• 대기
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• 제26권1호
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• pp.111-126
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• 2016

In the numerical weather model, surface properties can be defined by various parameters such as terrain height, landuse, surface albedo, soil moisture, surface emissivity, roughness length and so on. And these parameters need to be improved in the Seoul metropolitan area that established high-rise and complex buildings by urbanization at a recent time. The surface roughness length map is developed from digital elevation model (DEM) and it is implemented to the high-resolution numerical weather (WISE-WRF) model. Simulated results from WISE-WRF model are analyzed the relationship between meteorological variables to changes in the surface roughness length. Friction speed and wind speed are improved with various surface roughness in urban, these variables affected to temperature and relative humidity and hence the surface roughness length will affect to the precipitation and Planetary Boundary Layer (PBL) height. When surface variables by the WISE-WRF model are validated with Automatic Weather System (AWS) observations, NEW experiment is able to simulate more accurate than ORG experiment in temperature and wind speed. Especially, wind speed is overestimated over $2.5m\;s^{-1}$ on some AWS stations in Seoul and surrounding area but it improved with positive correlation and Root Mean Square Error (RMSE) below $2.5m\;s^{-1}$ in whole area. There are close relationship between surface roughness length and wind speed, and the change of surface variables lead to the change of location and duration of precipitation. As a result, the accuracy of WISE-WRF model is improved with the new surface roughness length retrieved from DEM, and its surface roughness length is important role in the high-resolution WISE-WRF model. By the way, the result in this study need various validation from retrieved the surface roughness length to numerical weather model simulations with observation data.

• 한국작물학회지
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• 제34권3호
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• pp.261-269
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• 1989

종관기상자료만으로 충족시킬 수 없는 농업분야 국지기상정보 수요에 대처하기 위해 지형기후 관계식에 의거한 제주도 전역의 정밀기후 추정 및 표출방법을 개발하였다. 먼저 도전역을 250m 간격의 직교격자로 구획하고 교차점의 해발고도를 지형도상에서 판독하여 사방 1km 지역(단위격자)의 평균해발고도, 평균경사도, 그리고 평균 경사방향 등 지형내자를 계산, 정량화하였다. 18개의 기존 및 신설 기상관측소가 위치한 단위격자의 지형 인자값과 실제 관측된 일최저기온값을 중회귀분석하여 지형일기온 관계식을 도출하고 이로부터 미관측 격자에 대하여 주정치를 계산하였다. 구체적으로 겨울철 일최저기온에 대하여 3개의 전형적인 기압계 유형별로 최적 추정식을 만들어 해안지대에 위치한 제주 및 서귀포 관측자료와 기압계 유형판별만으로 도전역의 일최저온 분포 예측을 가능케 하였다.

• The Plant Pathology Journal
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• 제26권1호
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• pp.37-48
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• 2010

This paper describes a web-based information system for plant disease forecast that was developed for crop growers in Gyeonggi-do, Korea. The system generates hourly or daily warnings at the spatial resolution of $240\;m{\times}240\;m$ based on weather data. The system consists of four components including weather data acquisition system, job process system, data storage system, and web service system. The spatial resolution of disease forecast is high enough to estimate daily or hourly infection risks of individual farms, so that farmers can use the forecast information practically in determining if and when fungicides are to be sprayed to control diseases. Currently, forecasting models for blast, sheath blight, and grain rot of rice, and scab and rust of pear are available for the system. As for the spatial interpolation of weather data, the interpolated temperature and relative humidity showed high accuracy as compared with the observed data at the same locations. However, the spatial interpolation of rainfall and leaf wetness events needs to be improved. For rice blast forecasting, 44.5% of infection warnings based on the observed weather data were correctly estimated when the disease forecast was made based on the interpolated weather data. The low accuracy in disease forecast based on the interpolated weather data was mainly due to the failure in estimating leaf wetness events.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2005년도 학술발표회 논문집
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• pp.605-609
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• 2005

This study is to perform the rainfall-runoff analysis of the basin of Yongdam dam where is loacted in the Geumriver basin. The model used is the SAC-SMA model which was developed by U.S. National Weather Service. The Precipitation data used as the input data of the model are daily ones observed in 2002 and the mean of values recorded in 5 rainfall stations. The evaporation data are used observed in Daejeon meteorological station. The geographical data such as basin slope and stream gradient are elicited from the numerical map analysis. In the verification through the comparison of calculated daily inflow with observed one, parameters used in the model are estimated manually. As the result of verification, total annual calculated inflow is 13,547CMS and agree accurately with the observed one. During the period of one year of 2002, before 100 days and after 250 days, the soil moisture condition in the upper zone was significantly dry and in spite of the rainfall in this period, the runoff was not generated. Through this result, we can observe that the moisture condition in the soil affects strongly the runoff in a basin.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2020년도 학술발표회
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• pp.117-117
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• 2020

The main objective of this study was to setup model and evaluate the model performance for streamflow simulation in Burundi using Soil and Water Assessment Tool (SWAT) model. The total area of Burundi is 27,834 ㎢. The elevation of Burundi ranges from 780 m to 2,700m. The West and East are low lands, while the Central part is high land. The topographic data (30 meters Digital Elevation Model) and land use and land cover data of Burundi were obtained respectively from Shuttle Radar Topography Mission (SRTM) and the Regional Centre for Mapping of Resources for Development (RCMRD). The soil data used was obtained from Food and Agriculture Organization (FAO). The local weather data and discharge data were provided by Burundi Hydro meteorological Service (IGEBU). Mean Areal Precipitation (MAP) and Mean Areal Temperature (MAT) were estimated. The streamflow simulation was done for the period 1980-2017. The calibration and validation of river discharge was performed at a daily time step from 2005 through 2011 as the calibration period and 2012 up to 2017 as the validation period. The findings show that streamflow decreases during Jun to September and increases during March to May and October to December.