• 한국멀티미디어학회논문지
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• 제18권4호
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• pp.473-482
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• 2015

Doppler weather radar is an important tool for meteorological research. Through several decades of development, Doppler weather radar has enormous progress in understanding, detection and warning of meso and micro scale weather system. It makes a significant contribution to weather forecast and weather disaster warning. But the large amount of data process limits the application of Doppler weather radar. This paper proposed for fast weather radar data processing based on CUDA. CDUA is a powerful platform for highly parallel programming developed by NVIDIA. Through running plenty of threads, radar data can be calculated at same time. In experiment, CUDA parallel program can significantly improve weather data processing time.

• 대기
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• 제24권1호
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• pp.77-87
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• 2014

The radar reflectivity is significantly affected by ground clutter, beam blockage, anomalous propagation (AP), birds, insects, chaff, etc. The quality of radar reflectivity is very important in quantitative precipitation estimation. Therefore, Weather Radar Center (WRC) of Korea Meteorological Administration (KMA) employed two quality control algorithms: 1) Open Radar Product Generator (ORPG) and 2) fuzzy quality control algorithm to improve quality of radar reflectivity. In this study, an occurrence of AP echoes and the performance of both quality control algorithms are investigated. Consequently, AP echoes frequently occur during the spring and fall seasons. Moreover, while the ORPG QC algorithm has the merit of removing non-precipitation echoes, such as AP echoes, it also removes weak rain echoes and snow echoes. In contrast, the fuzzy QC algorithm has the advantage of preserving snow echoes and weak rain echoes, but it eliminates the partial area of the contaminated echo, including the AP echoes.

• 한국멀티미디어학회논문지
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• 제19권4호
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• pp.689-705
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• 2016

This paper proposed an realtime total monitoring platform for various kind of multi weather radars to analyze and predict weather phenomenons and prevent meteorological disasters. Our platform is designed to process each weather radar data on each radar site to minimize overloads from conversion and transmission of large volumed radar data, and to set observers up the definitive radar data via public framework server separately. By proposed method, weather radar data having different spatial or temporal resolutions can be automatically synchronized with there own spatio-temporal domains on public GIS platform having only one spatio-temporal criterion. Simulation result shows that our method facilitates the realtime weather monitoring from weather radars having various spatio-temporal resolutions without other data synchronization or assimilation processes. Moreover, since this platform doesn't require some additional computer equipments or high-technical mechanisms it has economic efficiency for it's systemic constructions.

• 한국지능시스템학회논문지
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• 제24권4호
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• pp.360-365
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• 2014

기상 레이더, 인공위성, 라디오존데 등 날씨 예보를 수행하기 위해 많은 종류의 첨단 장비들이 사용되고 있다. 이들 중에서 지상에 설치된 기상 레이더는 넓은 탐지영역, 높은 시간 및 공간 분해능 등과 같은 많은 장점을 가지고 있기 때문에 기상예보 과정에서 필수적인 장비이다. 이러한 기상 레이더 데이터의 내부에는 기상현상 이외에도 여러 가지 외부 요인에 의해 발생하는 비기상현상이 관측되는데, 이는 기상 예보의 정확도를 감소시키는 원인이 된다. 본 논문에서는 기상 레이더 데이터를 이용한 연구를 통하여 비기상현상이 레이더에 관측되어 에코 형태로 나타난 것들 중에서 선 모양으로 발생하는 비기상에코를 제거하는 방법을 제안한다. 원시 레이더 데이터에서 선에코를 구분하여 그 특성을 추출한 후, 이들을 바탕으로 데이터 페어를 구성하여 나이브 베이지안 분류기를 학습시켰다. 그리고 학습된 나이브 베이지안 분류기를 선에코와 기상에 코가 혼재된 사례에 적용하였다. 실제 사례를 바탕으로 한 실험을 통해서 제안한 나이브 베이지안 분류기가 효과적으로 선에코를 식별할 수 있음을 확인하였다.

• 한국멀티미디어학회논문지
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• 제18권7호
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• pp.793-805
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• 2015

Nowadays the amount of data obtained from advanced weather radars is growing to provide higher spatio-temporal resolution. Accordingly radar data compression is important to use limited network bandwidth and storage effectively. In this paper, we proposed a hierarchical compression method for weather radar data having high spatio-temporal resolution. The method is applied to radar reflectivity and evaluated in aspects of accuracy of quantitative rainfall intensity. The technique provides three compression levels from only 1 compressed stream for three radar user groups-signal processor, quality controller, weather analyst. Experimental results show that the method has maximum 13% and minimum 33% of compression rates, and outperforms 25% higher than general compression technique such as gzip.

• Journal of Multimedia Information System
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• 제4권1호
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• pp.1-8
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• 2017

In recent years, the quixotic nature and concentration of rainfall due to global climate change has intensified. To monitor localized heavy rainfalls, a reliable disaster monitoring and warning system with advanced remote observation technology and high-precision display is important. In this paper, we propose a GIS-based intuitive and realistic 3D radar data display technique for accurate and detailed weather analysis. The proposed technique performs 3D object modeling of various radar variables along with ray profiles and then displays stereoscopic radar data on detailed geographical locations. Simulation outcomes show that 3D object modeling of weather radar data can be processed in real time and that changes at each moment of rainfall events can be observed three-dimensionally on GIS.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 춘계학술대회
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• pp.67-69
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• 2021

기상레이더 영상은 시각적인 측면에서 가시성이 높아 다양한 활용이 가능하다. 즉 기상레이더 원시자료뿐 아니라 영상의 변화 특성만으로도 기상 현상의 흐름을 파악할 수 있는 장점을 가지고 있다. 특히 영상처리기법이 기상 연구 분야에서도 점차 확대되고 있고 기상레이더 영상과 같이 높은 해상도를 가지는 영상자료의 경우 영상처리기법이라는 새로운 접근을 통해 유용한 정보 생산을 기대할 수 있다. 본 연구에서는 영상처리기법 중 하나인 광학 흐름(Optical Flow) 기법으로 일정 시간 간격에 따른 기상레이더 이미지의 변화에서 기상 현상 흐름을 벡터로 산출하였다. 기상 현상 규모에 적합한 벡터 분석 해상도, 기상레이더 영상이 존재하지 않는 영역의 벡터보간, 특정 기상 현상의 흐름과 대기 전체 흐름 구분을 위한 상대 흐름 벡터 제거 등을 통해 분석하고자 하는 기상 현상의 특성을 도출하였다. 본 연구를 통해 기상레이더의 원시 자료 활용뿐 아니라 영상자료 고유의 특성 활용이라는 기상레이더 활용 영역 확대와 영상처리기법의 향후 기상학 분야에서의 활발한 활용을 기대해 본다.

• 대기
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• 제30권4호
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• pp.347-360
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• 2020

The automatic algorithm optimized for the Korean Peninsula was developed to detect and track the center of typhoon based on a geometrical method using high-resolution retrieved WISSDOM (WInd Syntheses System using DOppler Measurements) wind and reflectivity data. This algorithm analyzes the center of typhoon by detecting the geometric circular structure of the typhoon's eye in radar reflectivity and vorticity 2D field data. For optimizing the algorithm, the main factors of the algorithm were selected and the optimal thresholds were determined through sensitivity experiments for each factor. The center of typhoon was detected for 5 typhoon cases that approached or landed on Korean Peninsula. The performance was verified by comparing and analyzing from the best track of Korea Meteorological Administration (KMA). The detection rate for vorticity use was 15% higher on average than that for reflectivity use. The detection rate for vorticity use was up to 90% for DIANMU case in 2010. The difference between the detected locations and best tracks of KMA was 0.2° on average when using reflectivity and vorticity. After the optimization, the detection rate was improved overall, especially the detection rate more increased when using reflectivity than using vorticity. And the difference of location was reduced to 0.18° on average, increasing the accuracy.

• 대기
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• 제21권3호
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• pp.285-300
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• 2011

To discriminate and eliminate chaff echoes in radar measurements, a new removal algorithm in two-dimensional reflectivity composite at the height of 1.5 km has been developed by using the brightness temperature($T_B$) obtained from MTSAT-1R. This algorithm utilizes the fact that chaffs are not appeared in infrared satellite data of MTSAT-1R, but detected in radar measurements due to their significant backscattering in the given radar wavelength. The algorithm is evaluated for three different situations: chaff only, chaff mixed with convective storms, and chaff covered with clouds. The algorithm shows excellent performance for the cases of chaff only and chaff mixed with convective storms. However, the performance of the algorithm significantly depends on the presence of clouds. Thus, the statistical analysis of $T_B$ is performed in order to optimize the monthly threshold.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2022년도 학술발표회
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• pp.142-142
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• 2022

Adjusting weather radar data is a prerequisite for its use in various hydrological studies. Effect of spatial variables are considered to adjust weather radar data in many of these researches. The existence of diverse topography in South Korea has increased the importance of analyzing these variables. In this study, some spatial variable like slope, elevation, aspect, distance from the sea, plan and profile curvature was considered. To investigate different topographic conditions, tried to use three radar station of Gwanaksan, Gwangdeoksan and Gudeoksan which are located in northwest, north and southeast of South Korea, respectively. To form the suitable fuzzy model and create the best membership functions of variables, ANFIS-PSO model was applied. After optimizing the model, the correlation coefficient and sensitivity of adjusted Quantitative Precipitation Estimation (QPE) based on spatial variables was calculated to find how variables work in adjusted QPE process. The results showed that the variable of elevation causes the most change in rainfall and consequently in the adjustment of radar data in model. Accordingly, the sensitivity ratio calculated for variables shows that with increasing rainfall duration, the effects of these variables on rainfall adjustment increase. The approach of this study, due to the simplicity and accuracy of this method, can be used to adjust the weather radar data and other required models.