한국수자원학회논문집 (Journal of Korea Water Resources Association)

  • 제41권7호
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  • Pages.681-692
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  • 2008
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  • 2799-8746(pISSN)
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  • 2799-8754(eISSN)
한국수자원학회 (Korea Water Resources Association)
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연속수정법을 이용한 레이더 자료와 지상 강우자료의 합성

Synthesis of Radar Measurements and Ground Measurements using the Successive Correction Method(SCM)

  • 김경준 (고려대학교 건축.사회환경공학과) ;
  • 최정호 (고려대학교 건축.사회환경공학과) ;
  • 유철상 (고려대학교 건축.사회환경공학과)
  • Kim, Kyoung-Jun (Department of Civil, Environmental and Architectural Engineering, Korea University) ;
  • Choi, Jeong-Ho (Department of Civil, Environmental and Architectural Engineering, Korea University) ;
  • Yoo, Chul-Sang (Department of Civil, Environmental and Architectural Engineering, Korea University)
  • 발행 : 2008.07.31
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초록

본 연구에서는 자료동화 기법의 가장 간단한 방법이라 할 수 있는 연속수정법(successive correction method)을 이용한 레이더 강우자료와 지상 강우자료의 합성방법에 대한 적용성을 검토하였다. 우선 연속수정법의 적용 시 고려해야 할 사항인 반복계산 횟수 및 영향 반경의 규모를 민감도 분석을 통해 결정하였다. 또한 자료 합성에 대한 정량적인 평가를 위해 밀도 있는 지상 강우자료를 공간분포시켜 실제 강우장을 가정하였다. 최근 자료 합성에 많이 이용되고 있는 co-Kriging을 이용하여 두 자료를 합성하여 연속수정법에 의한 자료 합성 결과를 정량적으로 분석하였다. 그 결과 간단하고 경제적인 자료동화 기법인 연속수정법으로도 co-Kriging을 이용하는 경우의 통계적 특성 및 정확도를 확보할 수 있다는 것을 알 수 있었다.

This study investigated the application of the successive correction method(SCM), a simple data assimilation method, for synthesizing the radar and rain gauge data. First, the number of iteration and influence radius for the SCM application were decided based on their sensitivity analysis. Also, for the evaluation of synthetic rainfall, the distributed rainfall field using the dense rainfall gauge network was assumed to be the true one. The synthetic rainfall field based on the SCM was also compared quantitatively with the one based on the co-Kriging frequently used nowadays. As the results, the SCM, a simple and economical data assimilation method, was found to secure the accuracy and statistical characteristics of the co-Kriging application.

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피인용 문헌

  1. Comparison of Quantitative Precipitation Estimation Algorithms using Dual Polarization Radar Measurements in Korea vol.14, pp.6, 2014, https://doi.org/10.9798/KOSHAM.2014.14.6.105
  2. Runoff Simulation of An Urban Drainage System Using Radar Rainfall Data vol.15, pp.3, 2013, https://doi.org/10.17663/JWR.2013.15.3.413
  3. Evaluation of Error Indices of Radar Rain Rate Targeting Rainfall-Runoff Analysis vol.21, pp.9, 2016, https://doi.org/10.1061/(ASCE)HE.1943-5584.0001393
  4. The Adjustment of Radar Precipitation Estimation Based on the Kriging Method vol.34, pp.1, 2013, https://doi.org/10.5467/JKESS.2013.34.1.13
  5. Quantification of Error in Reflectivity for Improving the Accuracy of the Radar Rainfall Estimated from Single Polarization Radar vol.18, pp.5, 2018, https://doi.org/10.9798/KOSHAM.2018.18.5.255