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백정애(Jungae Baik),김인경(In Kyoung Kim),김진영(Jin Yung Kim),노용환(Yong Hwan Noh),배선영(Sunyoung Bae),우명원(Myoung Won Woo),장혁기(Hyukki Chang),조성돈(Sung Don Cho),장매희(Maehee Chiang) 인간식물환경학회 2011 인간식물환경학회지 Vol.14 No.3
This study was investigated to research the basis of interdisciplinary fusion through the survey on the basis of the answers of professionals and general public, gender, humanities, science and engineering about the question of climate change and chimera which is one of the various phenomena that affect the human life. All respondents’ perceptions of climate change was high and natural disasters was showed the most destruction according to climate change. The answer of awareness of climate change and the damage, chimerism was significant differences between age groups sex, specialized domain-specific individuals. In addition, a group of respondents for science and engineering professionals was higher for awareness of climate change and the chimerism and heir negative opinion for chimerism was relatively low in comparison of other research groups.
김진영(Jin-Young Kim),김현구(Hyun-Goo Kim),강용혁(Yong-Heack Kang),윤창열(Chang-Yeol Yun),김창기(Chang Ki Kim),김지영(Ji-Young Kim),이준신(Jun-Shin Lee) 한국신재생에너지학회 2016 신재생에너지 Vol.12 No.S2
Improvement of a simple and practical Ensemble Prediction System (EPS) based on multi-models for wind power forecasting was performed by optimizing various ensemble member combinations. Three types of ensemble methods were compared; multi-models, multi-physics and hybrid ensemble. Multi-models were composed of four different numerical weather prediction models; WRF-NMM, WRF-ARW with small and large domains, UM-RDAPS and WW3. WRF-ARW was also used in multi-physics by designing two different planetary boundary layer and surface layer scheme, respectively. As a result, simulated wind speed from the multi-models EPS showed smaller root-mean-square error (RMSE) and a higher spread (SPRD) than those of the multi-physics EPS. Among the five different multi-models, three models such as KIER1, KIER2 and KMA-WW3 were reliable in terms of RMSE and correlation coefficient (CORR) for all typhoon cases. Therefore, a new EPS constructed by simple averaging the wind speeds taken from the three models. The new EPS showed a higher correlation and agreement with a value of 1.4% and 2.1% compared to those in old EPS, respectively.