한국해안·해양공학회논문집 (Journal of Korean Society of Coastal and Ocean Engineers)

  • 제24권5호
  • /
  • Pages.333-342
  • /
  • 2012
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  • 1976-8192(pISSN)
  • /
  • 2288-2227(eISSN)
한국해안·해양공학회 (Korean Society of Coastal and Ocean Engineers)
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전지구 파랑 예측시스템의 민감도 분석

Sensitivity Analysis of Global Wind-Wave Model

  • 박종숙 (기상청/국립기상연구소 지구환경시스템연구과) ;
  • 강기룡 (기상청/국립기상연구소 지구환경시스템연구과)
  • Park, Jong Suk (Global Environment System Research Division, National Institute of Meteorological Research/Korea Meteorological Administration) ;
  • Kang, KiRyong (Global Environment System Research Division, National Institute of Meteorological Research/Korea Meteorological Administration)
  • 투고 : 2012.09.03
  • 심사 : 2012.10.22
  • 발행 : 2012.10.31
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초록

파랑 모델에서 시공간적인 해상도의 변경은 결과에 많은 영향을 끼친다. 본 연구에서는 모델 입력장의 해상도 변경, 파랑 모델의 해상도 변경 그리고 물리적 옵션에 따른 모델의 민감도를 분석하였다. 모델의 분석을 위해서 전지구 부이관측자료와 위성자료를 이용하였다. 고해상도의 입력장을 사용할 경우 유의파고를 과대 산정하는 경향을 보였고, RSME는 약간 감소하였다. 고해상도의 파랑 모델을 수행할 경우 평균편향 및 RMSE가 약간 증가하였다. 또한, 유효 해상풍 계수를 기존의 값인 1.4보다 작게 설정할 경우 편향과 RMSE가 모두 감소하였다.

We studied the characteristics of spatial distribution of global wave height and carried out the modelsensitivity test by changing the input field, model resolution and physical factor (effective wind factor) since the spatial and temporal resolution in wind wave forecasting is one of most important factors. Comparisons among the different cases, and also between model, buoy and satellite data have been made. As a results of the wind-wave model run using the high resolution wind field, the bias of significant wave height showed the positive tendency and the Root-Mean Square Error(RMSE) was a bit decreased based on the comparison with buoy data. When the model resolution was changed to higher, the bias and RMSE was increased, and as the effective wind factor was smaller than default value(= 1.4) the bias and RMSE showed also decreasing pattern.

키워드

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피인용 문헌

  1. The Characteristics in the Simulation of High-resolution Coastal Weather Using the WRF and SWAN Models vol.23, pp.3, 2014, https://doi.org/10.5322/JESI.2014.23.3.409
  2. Development and Evaluation of an Ensemble Forecasting System for the Regional Ocean Wave of Korea vol.30, pp.2, 2018, https://doi.org/10.9765/KSCOE.2018.30.2.84