• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2015년도 학술발표회
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• pp.229-229
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• 2015

Downscaling is a fundamental procedure in the assessment of the future climate change impact at regional and watershed scales. Hence, it is important to investigate the spatial variability of the climate conditions that are constructed by various downscaling methods in order to assess whether each method can model the climate conditions at various spatial scales properly. This study introduces a fundamental research from Jang and Kavvas(2015) that precipitation variability from a popular statistical downscaling method (BCSD) and a dynamical downscaling method (MM5) that is based on the NCAR/NCEP reanalysis data for a historical period and on the CCSM3 GCM A1B emission scenario simulations for a projection period, is investigated by means of some spatial characteristics: a) the normalized standard deviation (NSD), and b) the precipitation change over Northern California region. From the results of this study it is found that the BCSD method has limitations in projecting future precipitation values since the BCSD-projected precipitation, being based on the interpolated change factors from GCM projected precipitation, does not consider the interactions between GCM outputs and local geomorphological characteristics such as orographic effects and land use/cover patterns. As such, it is not clear whether the popular BCSD method is suitable for the assessment of the impact of future climate change at regional, watershed and local scales as the future climate will evolve in time and space as a nonlinear system with land-atmosphere feedbacks. However, it is noted that in this study only the BCSD procedure for the statistical downscaling method has been investigated, and the results by other statistical downscaling methods might be different.

• 대기
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• 제31권4호
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• pp.395-404
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• 2021

In order to investigate downslope windstorm by using more detailed observation, we observed 6 cases at 3 sites - Inje, Yongpyeong, and Bukgangneung - during "3-D Meteorological Observation Project in Yeongdong region of Gangwon province, South Korea in 2020." The results from analysis of the project data were as follows. First, AWS data showed that a subsidence inversion layer appeared in 800~700 hPa on the windward side and 900~850 hPa on the leeward side. Second, before strong wind occurred, the inversion layer had descended to about 880~800 hPa. Third, with mountain wave breaking, downslope wind was intensified at the height of 2~3 km above sea level. After the downslope wind began to descend, the subsidence inversion layer developed. When the subsidence inversion layer got close to the ground, wind peak occurred. In general, UM (Unified Model) GDAPS (Global Data Assimilation Prediction System) have had negative bias in wind speed around peak area of Taebaek mountain range, and positive bias in that of East Sea coast area. The stronger wind blew, the larger the gap between observed and predicted wind speed by GDAPS became. GDAPS predicted strong p-velocity at 0600 LST 25 Apr 2020 (4^th case) and weak p-velocity at 2100 LST 01 Jun 2020 (6^th case) on the lee-side of Taebaek mountain range near Yangyang. As hydraulic jump theory was proved, which is known as a mechanism of downslope windstorm in Yeongdong region, it was confirmed that there is a relationship between p-velocity of lee-side and wind speed of eastern slope of Taebaek mountain range.

• 대기
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• 제31권4호
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• pp.445-459
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• 2021

This study uses a cloud-resolving storm simulator (CReSS) to understand the individual effect of determinant meteorological factors on snowfall characteristics in the Yeongdong region based on the rawinsonde soundings for two snowfall cases that occurred on 23 February (Episode 1) and 13 December (Episode 2) 2016; one has a single-layered cloud and the other has two-layered cloud structure. The observed cloud and precipitation (snow crystal) features were well represented by a CReSS model. The first ideal experiment with a decrease in low-level temperature for Episode 1 indicates that total precipitation amount was decreased by 19% (26~27% in graupel and 53~67% in snow) compared with the control experiment. In the ideal experiment that the upper-level wind direction was changed from westerly to easterly, although total precipitation was decreased for Episode 1, precipitation was intensified over the southwestern side (specifically in terrain experiment) of the sounding point (128.855°E, 37.805°N). In contrast, the precipitation for Episode 2 was increased by 2.3 times greater than the control experiment under terrain condition. The experimental results imply that the low-level temperature and upper-level dynamics could change the location and characteristics of precipitation in the Yeongdong region. However, the difference in precipitation between the single-layered experiment and control (two-layered) experiment for Episode 2 was negligible to attribute it to the effect of upper-level cloud. The current results could be used for the development of guidance of snowfall forecast in this region.

• 국제지역연구
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• 제15권3호
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• pp.393-405
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• 2011

미국의 장단기 국채 수익률 스프레드와 한국 거래소시장의 종합주가지수 변화를 통해 한국경제와 미국경제에 동조화가 존재하는지, 또 동조화가 존재한다면 어느 정도의 시차로 동조화가 진행되고 있는지, 그리고 미국의 금융위기로 동조화의 내용에 사실상 어떤 변화가 발생했는지를 분석하였다. 본 연구는 먼저 한국의 대표적 자산시장인 거래소시장이 미국의 장단기 국채금리 스프레드와 동조화를 보이고 있는 사실을 발견하였다. 또 동조화의 방향도 미국 국채의 장단기 금리차가 벌어지면, 즉 세계경제의 견인차 역할을 하고 있는 미국경제의 전망이 밝아지는 경우 자산시장에서 안전자산보다는 위험자산을 선호하는 분위기가 조성되어 국제적으로 자금이 고수익을 기대할 수 있는 한국과 같은 신흥시장으로 흘러들어오면서 신흥시장의 주가를 끌어올리게 될 것이라는 일반적인 예상과 일치하였다. 본 연구에서는 또 다양한 시차를 대상으로 하여 동조화가 극대화되는 시점을 조사했는데 양국 시장의 동조화가 불과 1주일 만에 극대화되는 사실도 발견하였다. 또 가변수를 이용하여 미국에서 시작된 금융위기가 동조화에 어떤 변화를 주었는지에 대한 분석에서는 금융위기 후 동조화의 강도가 현저하게 낮아진 사실도 발견하였다.

• 국제지역연구
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• 제13권3호
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• pp.461-480
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• 2009

본 연구는 한류로 인해 한국의 문화와 엔터테인먼트에 대해 고도의 관여도를 보이는 한류관광객을 대상으로 몰입(flow)의 결정요인과 몰입(flow)정도, 각 몰입(flow)요인간의 경로 등을 규명하여 한류의 성장과 지속의 전략과 이론적 근거를 도출해내고자 하는 것을 연구목적으로 한다. 이 연구목적의 달성을 위해 첫째, 관광활동의 새로운 패턴으로 부각되는 방문 혹은 잠재적 한류관광의 현황과 문제점을 파악한 후에 한류관광객을 대상으로 한류브랜드에 대한 몰입(flow)경험의 결정요인을 도출한다. 둘째, 도출된 몰입 결정요인들이 몰입(flow)을 경험하기 위한 단계별 과정에서 어떠한 상관관계를 갖는지 밝혀내고 그 관계를 검증한다. 셋째, 한류를 통한 한국 방문동기나 관여정도가 한류에 의해 유발된 관광활동이나 몰입경험과 어떤 상관관계를 갖는지 구조적으로 살펴본다. 넷째, 제시된 몰입경험구조 모형의 실증적 영향력 검증을 통하여 한류 브랜드의 몰입경험구조를 파악하고, 이에 따른 모델의 적합성과 타당성을 검토한다. 다섯째, 한류 시장의 몰입단계별 관광 마케팅 차원의 객관적 자료를 도출하여, 한류 브랜드의 성장에 필요한 한류에 대한 몰입효과 유지 및 증대를 도모할 수 있는 방향성을 제시한다.

• 대기
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• 제29권2호
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• pp.165-181
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• 2019

In this study, the regional climate model, RegCM4.0 (25 km), with the HadGEM2-AO data as boundary conditions, was used to simulate the mean climate changes in the mid and late 21st century for CORDEX Phase 2 East Asian region. 122 years (1979~2100) of simulation were performed, and RCP 4.5 and RCP 8.5 were used for the simulation of future climate. In the mid-21st century, the temperature is expected to increase by about 0.5 to $3.0^{\circ}C$ in all regions of East Asia, regardless of season and scenario. The increase in temperature is greater in summer and winter, especially in the northern part of simulation domain. Interannual variability (IAV) is expected to decrease by 25% in summer for RCP 8.5, while it is expected to increase by more than 30% in autumn for both scenarios. Regardless of the scenario, the precipitation in South Korea is expected to increase in late June but decrease in mid-July, with an increase in precipitation greater than $100mm\;day^{-1}$. In RCP 4.5 of the late 21st century, relatively uniform temperature increase ($1.0{\sim}2.5^{\circ}C$) is expected throughout the continent, while RCP 8.5 shows a very diverse increase ($3.0{\sim}6.0^{\circ}C$) depending on season and geographical location. In addition, the IAV of temperature is expected to decrease by more than 35% in both scenarios in the summer. In most of the Northwest Pacific region, precipitation is expected to decrease in all seasons except for the summer, but in South Korea, it is projected to increase by about 10% in all seasons except autumn.

• 한국산학기술학회논문지
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• 제20권6호
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• pp.9-13
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• 2019

본 연구에서는 박막 패턴의 히터를 반도체 공정 기술을 이용하여 소형 백금 박막 히터를 실리콘 기판 상에 제작하고 박막히터의 인가전압, 전력, 온도의 열특성을 측정 분석하였다. 박막 패턴 히터의 온도는 전력 증가에 따라서 증가하였으나 높은 전력구간에서는 온도 증가율이 완만해지는 결과를 확인하였다. 백금 박막 패턴 히터의 고온구간의 특성은 측정 환경에 의한 영향으로서 대기분위기와 진공분위기에서 측정한 결과를 열저항 모델을 이용하여 열특성을 해석하였다. 진공분위기에서 측정한 경우가 열저항값 0.79 [K/mW]로서 대기분위기에서의 열저항 값 0.69 [K/mW]보다 높게 측정되었다. 대기분위기보다는 진공분위기에서 낮은 전력으로 박막 패턴 히터의 온도를 유지할 수 있었고 이들 결과는 박막 패턴 히터 소자의 구조 설계에 활용이 기대된다.

• 한국기후변화학회지
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• 제7권4호
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• pp.433-442
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• 2016

In this study, we examine future changes in surface radiation associated with cloud amount and aerosol emission over East Asia. Data in this study is HadGEM2-CC (Hadley Centre Global Environmental Model version 2, Carbon Cycle) simulations of the Representative Concentration Pathways (RCPs) 2.6/4.5/8.5. Results show that temperature and precipitation increase with rising of the atmosphere $CO_2$. At the end of $21^{st}$ century (2070~2099) relative to the end of $20^{st}$ century (1981~2005), changes in temperature and precipitation rate are expected to increase by $+1.85^{\circ}C/+6.6%$ for RCP2.6, $+3.09^{\circ}C/+8.5%$ for RCP4.5, $+5.49^{\circ}C/10%$ for RCP8.5. The warming results from increasing Net Down Surface Long Wave Radiation Flux (LW) and Net Down Surface Short Wave Radiation Flux (SW) as well. SW change increases mainly from reduced total Aerosol Optical Depth (AOD) and low-level cloud amount. LW change is associated with increasing of atmospheric $CO_2$ and total cloud amount, since increasing cloud amounts are related to absorb LW radiation and remit the energy toward the surface. The enhancement of precipitation is attributed by increasing of high-level cloud amount. Such climate conditions are favorable for vegetation growth and extension. Expansion of C3 grass and shrub is distinct over East Asia, inducing large latent heat flux increment.

• 대기
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• 제28권4호
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• pp.509-520
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• 2018

The performance of the newly designed Pusan National University Coupled General Circulation Model (PNU CGCM) Ensemble Forecast System which produce 40 ensemble members for 12-month lead prediction is evaluated and analyzed in terms of boreal winter temperature over South Korea (S. Korea). The influence of ensemble size on prediction skill is examined with 40 ensemble members and the result shows that spreads of predictability are larger when the size of ensemble member is smaller. Moreover, it is suggested that more than 20 ensemble members are required for better prediction of statistically significant inter-annual variability of wintertime temperature over S. Korea. As for the ensemble average (ENS), it shows superior forecast skill compared to each ensemble member and has significant temporal correlation with Automated Surface Observing System (ASOS) temperature at 99% confidence level. In addition to forecast skill for inter-annual variability of wintertime temperature over S. Korea, winter climatology around East Asia and synoptic characteristics of warm (above normal) and cold (below normal) winters are reasonably captured by PNU CGCM. For the categorical forecast with $3{\times}3$ contingency table, the deterministic forecast generally shows better performance than probabilistic forecast except for warm winter (hit rate of probabilistic forecast: 71%). It is also found that, in case of concentrated distribution of 40 ensemble members to one category out of the three, the probabilistic forecast tends to have relatively high predictability. Meanwhile, in the case when the ensemble members distribute evenly throughout the categories, the predictability becomes lower in the probabilistic forecast.

• 디지털융복합연구
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• 제17권4호
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• pp.291-298
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• 2019

본 연구는 '청년 창의인력 취 창업지원사업' 분석을 통해 디자이너-메이커스 비즈니스 생태계 조성에 있어 정부 디자인 지원정책의 핵심 내용과 시사점을 고찰하고 있다. 메이커 기술에 기반한 디자인 브랜드 육성과 청년 주도형 지역 일자리 창출을 목적으로 하는 이 사례는 디자이너-메이커스가 보다 자유롭고 창의적인 분위기에서 창작활동이 가능하도록 창의문화 조성자로서 정부의 역할을 제시한다. 나아가 각 정부 부처에서 시행 중인 유사 메이커 지원정책들의 효율적인 통합 및 재편과 이를 실리적으로 추진할 로드맵의 필요성, 질적 내실화 지원의 중요성을 강조한다. 결과적으로, 디자이너-메이커스 비즈니스 활성화를 위한 정부의 디자인 지원정책은 신규 일자리를 창출하는 경제적 수치적 목표를 넘어 성숙한 공유문화를 토대로 한 지식재산의 질적 발전, 개방형 메이커 무브먼트에 기반 한 제조업의 신(新)생산 패러다임 모델 발굴이라는 진화된 지향점으로 발전해야 할 것이다.