• Korean Journal of Agricultural and Forest Meteorology
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• v.19 no.3
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• pp.75-85
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• 2017

A method to estimate hourly temperature profiles on calm and clear nights was developed based on temporal changes of inversion height and strength. A meteorological temperature profiler (Model MTP5H, Kipp and Zonen) was installed on the rooftop of the Highland Agriculture Research Institute, located in Daegwallyeong-myeon, Pyeongchang-gun, Gangwon-do. The hourly vertical distribution of air temperature was measured up to 600 m at intervals of 50 m from May 2007 to March 2008. Temperature and relative humidity data loggers (HOBO U23 Pro v2, Onset Computer Corporation, USA) were installed in the Jungdae-ri Valley, located between Gurye-gun, Jeollanam-do and Gwangyang-si, Jeollanam-do. These loggers were used to archive measurements of weather data 1.5 m above the surface from October 3, 2014, to November 23, 2015. The inversion strength was determined using the difference between the temperature at the inversion height, which is the highest temperature in the profile, and the temperature at 100 m from the surface. Empirical equations for the changes of inversion height and strength were derived to express the development of temperature inversion on calm and clear nights. To estimate air temperature near the ground on a slope exposed to crops, the equation's parameters were modified using temperature distribution of the mountain slope obtained from the data loggers. Estimated hourly temperatures using the method were compared with observed temperatures at 19 weather sites located within three watersheds in the southern Jiri-mountain in 2015. The mean error (ME) and root mean square error (RMSE) of the hourly temperatures were $-0.69^{\circ}C$ and $1.61^{\circ}C$, respectively. Hourly temperatures were often underestimated from 2000 to 0100 LST the next day. When temperatures were estimated at 0600 LST using the existing model, ME and RMSE were $-0.86^{\circ}C$ and $1.72^{\circ}C$, respectively. The method proposed in this study resulted in a smaller error, e.g., ME of $-0.12^{\circ}C$ and RMSE of $1.34^{\circ}C$. The method could be improved further taking into account various weather conditions, which could reduce the estimation error.

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 2001.06a
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• pp.68-71
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• 2001

밝고 바람이 없는 저녁, 지표근처의 냉각은 많고 일출 전후에 최저기온이 나타난다(Nishiyama, 1985). 그리고 기온은 지표근처에서 가장 낮고 고도가 높아질수록 높아진다. 이러한 상태를 지표역전(surface inversion) 또는 지면역전(ground inversion)이라 한다. 지표 역전층은 지표근처에 강한 복사냉각(radiative cooling)에 의해 형성되고, 다른 하나는 차가운 공기의 drainage에 의해 이류(advection) 되어 지표근처에 축적된다.(중략)

• Journal of the Korean Geographical Society
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• v.33 no.2
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• pp.165-177
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• 1998

본 연구에서는 충주호가 그 주변지역의 안개 특성 변화에 미친 영향을 파악하고자 하였다. 충주호 하류에 위치하는 충주와 상류의 제천지역을 사례로 안개일수, 안개 발생.소산시각, 안개 발생 전일의 바람과 일교차 및 기압배치, 상층의 바람 등을 분석하였다. 충주댐 건설 후 두 지역의 안개일수가 크게 증가하였는데, 제천에서는 상대습도와 수증기압이 증가하였으나 충주의 경우는 감소하였다. 또한 충주지역에서는 안개 발생시각이 빨라졌는데, 북서풍계 바람이 불 경우 더욱 뚜렷하며 안개의 빈도도 증가하였다. 안개 소산시각은 충주에서는 빨라졌으나 제천에서는 늦어졌다. 일교차는 충주에서는 감소하였고, 제천지역에서는 증가하였다. 제천의 안개 증가가 충주호에서 공급되는 수증기에 의한 것인데 반하여, 충주의 그것은 방류수의 수온과 기온 차이에 의한 것이다. 이에 따라 충주에서는 동절기에는 증발현상에 의한 안개가, 하절기에는 수면에서의 기온역전에 의한 안개가 크게 늘었다.

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 2018.06a
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• pp.136-136
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• 2018

• Korean Journal of Agricultural and Forest Meteorology
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• v.15 no.2
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• pp.76-84
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• 2013

An adequate downscaling of the official forecasts of Korea Meteorological Administration (KMA) is a prerequisite to improving the value and utility of agrometeorological information in rural areas, where complex terrain and small farms constitute major features of the landscape. In this study, we suggest a simple correction scheme for scaling down the KMA temperature forecasts from mesoscale (5 km by 5 km) to the local scale (30 m by 30 m) across a rural catchment, especially under temperature inversion conditions. The study area is a rural catchment of $50km^2$ area with complex terrain and located on a southern slope of Mountain Jiri National Park. Temperature forecasts for 0600 LST on 62 days with temperature inversion were selected from the fall 2011-spring 2012 KMA data archive. A geospatial correction scheme which can simulate both cold air drainage and the so-called 'thermal belt' was used to derive the site-specific temperature deviation across the study area at a 30 m by 30 m resolution from the original 5 km by 5 km forecast grids. The observed temperature data at 12 validation sites within the study area showed a substantial reduction in forecast error: from ${\pm}2^{\circ}C$ to ${\pm}1^{\circ}C$ in the mean error range and from $1.9^{\circ}C$ to $1.6^{\circ}C$ in the root mean square error. Improvement was most remarkable at low lying locations showing frequent cold pooling events. Temperature prediction error was less than $2^{\circ}C$ for more than 80% of the observed inversion cases and less than $1^{\circ}C$ for half of the cases. Temperature forecasts corrected by this scheme may accelerate implementation of the freeze and frost early warning service for major fruits growing regions in Korea.

• Korean Journal of Agricultural and Forest Meteorology
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• v.5 no.1
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• pp.43-47
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• 2003

Air temperature was continuously measured in hilly pear orchards at 4 sites with elevations of 10, 49, 104 and 253 m above sea level. The mean air temperature, averaged over the 10-month period from August 2001 to June 2002, decreased as the site elevation increased by 0.2$^{\circ}C$ per 100 m. This weak lapse condition was amplified during daytime by sun-slope geometry. But on most days an inversion condition began by sunset and persisted until the next sunrise. During the observation period, daily minimum temperature at the valley bottom was lower than that of the hilltop on 67% of the days, and the average temperature difference was 1.4$^{\circ}C$. Inversion of daily minimum temperature under clear sky conditions was stronger in spring and autumn than in winter with a maximum of 6$^{\circ}C$. Lapse condition was predominant in daily minimum temperature on rainy days, and the lapse rate was strongest in winter.

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 2019.08a
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• pp.198-198
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• 2019

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.2
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• pp.119-125
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• 2019

Recently, it has become a social problem due to fine particles. There are more people wearing masks, weather alerts and disaster notices. Research and policy are actively underway. Meteorologically, the biggest damage caused by fine particles is the inversion layer phenomenon. In this study, we designed a system to warn fine Particles by analyzing inversion layer and wind direction. This weather information system proposes a system that can efficiently perform scalability and parallel processing by using OGC sensor web enablement system and NoSQL storage for sensor control and data exchange.

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 2013.11a
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• pp.73-78
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• 2013

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2002.04a
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• pp.169-170
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• 2002

스모그는 대기오염으로 인해 나타나는 대표적인 오염 현상이다. 스모그는 시정을 감소시키고, 눈ㆍ코ㆍ호흡기 등을 자극하여 인체의 건강에 나쁜 영향을 미친다. 스모그 현상은 주로 바람이 약하고 지표부근의 기온이 역전하는 특정한 기상상태에서 대기 중 가스와 입자간의 반응에 의해 여러 경로론 거쳐 생성된 에어로졸이 증가하여 나타난다. 최근 자동차 수의 급속한 증가와 휘발성 유기화합물질 (volatile organic compounds, VOCs)의 사용으로 인하여 서울 지역에서 스모그가 발생하는 빈도가 많아지고 있다. (중략)