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오재호(Jai-Ho Oh),김백조(Baek-Jo Kim),권원태(Won-Tae Kwon) 한국자료분석학회 2000 Journal of the Korean Data Analysis Society Vol.2 No.4
한반도의 기상재해 중에서 가장 빈번히 발생하는 집중호우는 중규모적 특성을 보임에도 불구하고 종관 자료의 시·공간적 제약으로 인해 집중호우와 관련된 중규모 물리 과정을 밝히지 못하고 있다. 이러한 집중 호우에 대한 예측 능력을 향상시키기 위해서는 중규모 수치 모델의 개선 및 모델 결과의 검정을 위하여 고해상도의 관측 자료가 생산이 필요하다. 장마집중감시사업은 현재의 장마 및 집중호우 감시 체제에 대한 문제점을 극복하고 장마와 집중호우 감시와 예측능력을 향상시키기 위해서 집중관측실험을 통해 시공간적으로 고분해능의 관측 자료를 생산하고 이들 자료들 토대로 장마 및 집중호우 분석과 예측 연구에 활용하여 장마와 연관된 기상재해를 감소시키는데 이바지 할 것이다. The meso-scale physical processes of heavy rainfall in Korea rarely have been revealed due to temporal and spatial limitations of synoptic observational data used in the analysis and modelling of heavy rainfall. The higher-resolution observational data are an important component for the improvement of predictive skill of heavy rainfall as well as mesoscale numerical model. Therefore, the Korea Monsoon Experiment (KORMEX) has been conducted to improve the monitoring and prediction of Changma and related to heavy rainfall based on higher-resolution observational data on the temporal and spatial scales obtained from the comprehensive observational experiment, resulting in the reduction of meteorological disasters associated with Changma through the application studies of KORMEX observational data
오재호 ( Jai-ho Oh ),심지한 ( J. H. Shim ),오지원 ( J. W. Oh ),허모랑 ( M. R. Hue ) 한국물환경학회 2020 한국물환경학회·대한상하수도학회 공동 춘계학술발표회 Vol.2020 No.-
A method was developed to estimate a synthetic precipitation record for ungauged sites using irregular coarse observations. The proposed synthetic precipitation data were produced with ultra-high hourly resolution on a regular 1 × 1 km grid. The proposed method was used to analyze selected real-time observational data collected in South Korea from 2010 to the end of 2014. The observed precipitation data were measured using the Automatic Weather System and Automated Synoptic Observing System. The principal objective of the proposed method was to estimate the additional effects of orography on precipitation introduced by ultra-high-resolution (1 × 1 km) topography provided by a digital elevation model. The Global Forecast System analysis of the National Centers for Environmental Prediction was used for the upper atmospheric conditions, necessary for estimating the orographic effects. Precipitation data from 48 of the more than 600 observation sites used in the study, which matched the grid points of the synthetic data, were not included in the synthetic data estimation. Instead, these data were used to evaluate the proposed method by direct comparison with the real observations at these sites. A bias score was investigated by comparison of the synthetic precipitation data with the observations. In this comparison, the number of Hit, False, Miss, and Correct results for 2010-2014 was 74738, 25778, 7544, and 367981, respectively. In the Hit cases, the bias score was 1.22 and the correlation coefficient was 0.74. The means of the differences between the synthetic data and the observations were 0.3, -3.9, -14.4, and -34.9 mm h-1 and the root mean square errors (RMSEs) were 2.7, 8.3, 19.3, and 39.6 mm h-1 for the categories of 0.5-10.0, 10.0-30.0, 30.0-50.0, and 50.0-100.0 mm h-1, respectively. In addition, in each range, the 60% difference between the synthetic precipitation data and the observation data was - 1.5 to +1.5, -5.0 to +5.0, -17.0 to +17.0, and -33.0 to +33.0 mm h-1, respectively. Overall, the correlation coefficient of the synthetic precipitation data was >0.7 for 43 of the 48 test stations and the RMSE was <4 mm h-1 at 31 stations. The results are significant at all evaluation stations at the 0.05 significance level. This synthetic ultra-high resolution precipitation data may be used to verify the radar precipitation algorithm to overcome the limitation of the observation in operation.
오재호(Jai-Ho Oh) 한국가시화정보학회 2007 한국가시화정보학회지 Vol.5 No.2
Typhoon simulation based on dynamical forecasting results is demonstrated by utilizing geodesic model GME (operational global numerical weather prediction model of German Weather Service). It is based on uniform icosahedral-hexagonal grid. The GME gridpoint approach avoids the disadvantages of spectral technique as well as the pole problem in latitude-longitude grids and provides a data structure extremely well suited to high efficiency on distributed memory parallel computers. In this study we made an attempt to simulate typhoon NARI that passed over the Korean Peninsula in 2007. GME has attributes of numerical weather prediction model and its high resolution can provide details on fine scale. High resolution of GME can play key role in the study of severe weather phenomenon such as typhoons. Simulation of future typhoon that is assumed to occur under the global warming situation shows that the life time of that typhoon will last for a longer time and the intensity will be extremely stronger.