• Journal of the Korean Data and Information Science Society
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• v.28 no.3
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• pp.483-492
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• 2017

Precipitation is one of key components in hydrological modeling and water balance studies. A comprehensive, optimized and sustainable water balance monitoring requires the availability of accurate precipitation data. The amount of precipitation measured in a gauge is less than the actual precipitation reaching the ground. The objective of this study is to determine the wind-induced under-catch of solid precipitation and develop a continuous adjustment function for measurements of all types of winter precipitation (from rain to dry snow), which can be used for operational measurements based on data available at standard automatic weather stations. This study provides Bayesian analysis for the systematic structure of catch ratio in precipitation measurement.

• Journal of Korean Society for Geospatial Information Science
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• v.18 no.3
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• pp.37-48
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• 2010

The purpose of this paper is to evaluate how the rainfall field effect on a runoff simulation using grid radar rainfall data and ground gauge rainfall. The Gwangdeoksan radar and ground-gauge rainfall data were used to estimate a spatial rainfall field, and a hydrologic model was used to evaluate whether the rainfall fields created by each method reproduced a realistically valid spatial and temporal distribution. Pilot basin in this paper was the Naerin stream located in Inje-gun, Gangwondo, 250m grid scale digital elevation data, land cover maps, and soil maps were used to estimate geological parameters for the hydrologic model. For the rainfall input data, quantitative precipitation estimation(QPE), adjusted radar rainfall, and gauge rainfall was used, and then compared with the observed runoff by inputting it into a $Vflo^{TM}$ model. As a result of the simulation, the quantitative precipitation estimation and the ground rainfall were underestimated when compared to the observed runoff, while the adjusted radar rainfall showed a similar runoff simulation with the actual observed runoff. From these results, we suggested that when weather radars and ground rainfall data are combined, they have a greater hydrological usability as input data for a hydrological model than when just radar rainfall or ground rainfall is used separately.

• Journal of Multimedia Information System
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• v.5 no.1
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• pp.1-8
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• 2018

The coordinate system conversion of weather radar data is a basic and important process because it can be a factor to measure the accuracy of radar precipitation rate by comparison with the ground rain gauge. We proposed a real-time coordinate system conversion method that combines the advantages of the interpolation masks of SPRINT and REORDER to use tables of predetermined radar samples for each interpolated object coordinate and also distance weights for each precomputed sample. Experimental results show that the proposed method improves the computation speed more than 20~30 times compared with the conventional method and shows that the deterioration of image quality is hardly ignored.

• Proceedings of the KSRS Conference
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• v.2
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• pp.660-663
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• 2006

Rainfall estimation is important to weather forecast, flood control, hydrological plan. The empirical and statistical methods by measured data(surface rain gauge, rainfall radar, Satellite) is commonly used for rainfall estimation. In this study, the rainfall intensity for East Asia region was estimated using the empirical relationship between SSM/I data of DMSP satellite and brightness temperature of GEOS-9(10.7${\mu}m$) with cloud types(ISCCP and MSG classification). And the empirical formula for rainfall estimation was produced by PMM (Probability Matching Method).

• Korean Journal of Hydrosciences
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• v.3
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• pp.31-44
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• 1992

Precise run-off forecasting depends on the ability to predict quantitative rainfall intensity. The purpose of this study is to develop a stochastic model for the shori-term rainfall prediction. It is required for the model to predict rainfall intensities at all the telemetered rain-gauge locations simultaneously. All the model parameters, which are used in this work ; velocity and direction of storm movement, radial spectrum, and dimensionless time distribution of rainfall, are the results of the previous study. We formulated the model and operated it, so that in this study was analyzed particulary the influence of 4 dimensionless time distributions on the prediction and the influence of the model on run-off.

• Atmosphere
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• v.16 no.4
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• pp.343-350
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• 2006

The rainfall amount measured by Chugugi at Gongju was found in "Gaksadeungnok". Gaksadeungnok is ancient documents from governmental offices in Joseon dynasty. Rainfall data at Gongju are restored for 18 years of 19th century. In 1871, total rainfall amount is 1,338 mm. It is different by about 11% in the amount compared with Seoul Chugugi rainfall in 1871 and Daejeon modern raingauge measurement result during the 30 years (1971-2000). Annual march of monthly rainfall data at Gongju is similar with that of Seoul. Based on the results, restored rainfall at Gongju is consistent with Seoul Chugugi rainfall data. The rainfall amount restored in this study is measured by Chugugi which was installed at Gongju, in Chung-Cheong province. Furthermore, Gaksadeungnok includes rainfall amount reports by agricultural tool measurement in addition to Chugugi measurement. These facts prove a network of rain gauge in Joseon dynasty.

• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.1948-1952
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• 2007

본 연구에서는 레이더 강우의 지상보정(ground-truth)을 위해 사용가능한 기상청(KMA), AWS 및 건설교통부(MOCT) 강우자료를 다양한 지상보정 설계에 적용하여 비교 평가하였다. 본 연구에서는 동일 기간의 KMA, MOCT, AWS의 우량계 자료와 관악산 레이더 강우자료를 이용하였으며, 각각 두 관측방법사이의 차이(오차)를 편의(bias)의 유무 및 크기의 관점에서 평가하였다. 추가로 호우 사상의 특성에 따른 차이도 함께 검토하였다. 그 적용 결과 지상우량계 자료별 편의의 차이는 확연하게 부각되지는 않았으나, 통계 특성치에서는 어느 정도의 차이가 존재함을 확인하였다. 전체적으로 보면 MOCT 우량계 자료를 이용하는 경우가 다른 강우자료를 이용하는 경우에 비해 편의의 규모가 제일 작은 것으로 확인되었다. 호우 사상별로는 강우의 공간적 간헐성이 가장 큰 장마 기간의 경우가 태풍이나 대류성 강우에 비해 설계편의가 작게 나타나는 것으로 확인되었다.

• Water for future
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• v.23 no.3
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• pp.341-350
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• 1990

Precise run-off forecasting depends on the ability to predict quantitative rainfall intensity. This study suggests a stochastic model for 1 hour order rainfall prediction. The model simultaneously predicts rainfall intensity at all telemetered rain-gauge locations. All model parameters, velocity and direction of storm movement, radial spectrum, dimensionless time distribution of rainfall, are estimated from telemetered and historical data for the basin being predicted. Also the estimated parameters are based on the previous study. The results are the influence of dimensionless time distributions on the prediction and the model on run-off.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.1951-1955
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• 2010

우량관측용으로 사용되고 있는 강우량계는 전도형, 저수형, 로드셀형, 중량식 등이 있으며 이 중 측정과 신호의 처리가 간편한 전도형 우량계가 널리 사용되고 있다. 우량관측은 목적에 따라 기상청은 0.5 mm 급 전도형 우량계를 주로 사용하고 있으며, 국토해양부에서는 1 mm 급 전도형 우량계를 주로 사용하고 있다. 본 연구에서는 강우량 증가 및 강우강도에 따른 0.5 mm 및 1 mm 급 전도형 우량계의 측정값을 분석하여 실제값과 얼마의 오차를 보이는지 그 특성을 비교 분석하였다. 이 실험은 수문조사기기 검정대행기관인 유량조사사업단에서 우량계 검정에 사용하고 있는 강우량 검정용 기준기를 이용하여 10~20 mm 강우량 및 20~100 mm/h의 강우강도 변화에 따라 0.5 mm 및 1 mm 급 전도형 우량계의 측정값을 비교하여 각 우량계에 대한 특성을 분석하였다. 본 연구는 향후 실제 강우에 대한 같은 특성 분석 연구를 통해 이 결과를 확인 및 보완하는 연구를 진행할 예정이다.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.352-352
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• 2023

본 연구에서는 제주도권역 강우관측소의 고도별 공간분포의 적정성을 평가하기 위한 방안으로 고도별 강우관측소의 최근린지수(Nearest Neighbor Index, NNI)를 산정하고 현재 강우관측소 공간분포의 적정성을 평가하였다. 또한, 제주도권역을 고도에 따라 등면적으로 구분하고, 고도마다 상이한 지형조건을 고려하기 위해 등면적으로 구분된 각 강우관측소의 최대 NNI를 최적화 기법의 하나인 화음탐색법(Harmony Search, HS)을 이용하여 산정하였다. 이와같이 현재 강우관측소설치위치를 기준으로 산정한 NNI와 HS를 이용하여 산정한 최대 NNI의 차이를 바탕으로 지형적인 특성을 고려한 제주도권역 강우관측소 분포를 비교·검토하였다. 그 결과 고도가 높아짐에 따라 강우관측소의 개수가 낮은 고도에 비해 상대적으로 적어 관측소 밀도가 작은 것으로 산정되었다. 향후 제주도권역 강우관측소의 지형적인 특성을 반영한다면 보다 효율적인 제주도권역 강우량관측이 가능할 것으로 판단된다.