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Evaluation of the gap filler radar as an implementation of the 1.5 km CAPPI data in Korea
Yoo, Chulsang,Yoon, Jungsoo,Kim, Jungho,Ro, Yonghun John Wiley Sons, Ltd 2016 Meteorological applications Vol.23 No.1
<P><B>ABSTRACT</B></P><P>This study evaluated the gap filler radar as an implementation of the 1.5 km CAPPI (constant altitude plan position indicator) data in Korea. The use of the 1.5 km CAPPI data was an inevitable choice, given the topography of the Korean Peninsula and the location of the radar. However, there still exists a significant portion of beam blockage, and thus there has been debate about the need to introduce the gap filler radar (or, the gap‐filler). This study evaluated the possible benefits of introducing gap‐fillers over the Korean Peninsula. As a first step, the radar data error was quantified by <I>G</I>/<I>R</I> ratio and root mean square error (RMSE), and the radar data over the Korean Peninsula were evaluated. The gap‐fillers were then located where the error was high, and their effect was then evaluated by the decrease in the <I>G</I>/<I>R</I> ratio and RMSE. The mean values of the <I>G</I>/<I>R</I> ratio and RMSE of the 1.5 km CAPPI data over the Korean Peninsula were estimated to be about 2.5 and 4.5 mm h<SUP>–1</SUP>, respectively. Even after the mean‐field bias correction, the RMSE of the 1.5 km CAPPI data was not decreased and mostly remained very high, around 4.4 mm h<SUP>–1</SUP>. Unfortunately, the effect of the gap‐filler on the 1.5 km CAPPI data was also found to be very small, just 1–2%. However, the gap‐filler could be beneficial, if the lowest elevation angle data were used instead of the 1.5 km CAPPI data. The effect of five gap‐fillers could be up to 7% decrease in RMSE.</P>
통계분석을 활용한 라그랑지언 기반 전산유체역학의 입자 간격에 대한 독립성 평가
박현규,박성현,서장후 한국건축친환경설비학회 2022 한국건축친환경설비학회 논문집 Vol.16 No.2
With the recent increase in interest in indoor PM and the use of CFD, many studies on indoor PM use CFD. However, in CFD analysis of indoor PM, there is a limit to realizing the same number of particles as in the experiment due to problems of analysis time and physical specifications of the equipment. For this reason, although a limited number of particles is generally used, studies on an appropriate number of particles are scarce. Therefore, in this study, the R2 , Cv (RMSE), error rate of the results and analysis time according to intervals of the initial uniformly distributed particle were compared. In the CFD analysis space of 8 m3 volume, the residual particle concentration after 1 hour of ventilation was compared and analyzed. The Case with the IP (Interval of initial particles) of 40 cm also showed a high correlation based on the case with the IP of 2.5 cm. Considering both the analysis time and the reliability of the results, it is judged that the IP of this analysis is 10 to 20 cm appropriate.
Kim, C.E.,Soo Shin, H.,Moon, P.,Jae Kim, H.,Yun, I. Elsevier 2009 Current Applied Physics Vol.9 No.6
Effects of deposition process parameters on the deposition rate and the electrical properties of In<SUB>2</SUB>O<SUB>3</SUB>-10wt% ZnO (IZO) thin films were modeled and analyzed by using the error back-propagation neural networks (BPNN). Output models were represented by response surface plots and the fitness of models was estimated by calculating the root mean square error (RMSE). The deposition rate of IZO thin films is affected by the RF power and the substrate temperature. The electrical properties of the IZO thin films are mainly controlled by O<SUB>2</SUB> ratio and the substrate temperature. The predicted output characteristics by BPNN can sufficiently explain the mechanism of IZO deposition process. Thus, neural network models can provide the reliable explanation of IZO film deposition.