• Korean Journal of Optics and Photonics
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• v.30 no.3
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• pp.87-93
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• 2019

Phase screens are widely used to simulate the effects of atmospheric turbulence on the phase fluctuations of a light beam. We compare three sampled-based phase-screen-generation methods (the fast-Fourier-transform, subharmonic, and covariance-matrix methods), in terms of accuracy and simulation time. We show that the covariance method generates the phase screens most accurately, with simulation time comparable to the other sampled-based methods.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.1
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• pp.151-156
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• 2021

The speed and direction of the earth's fluid motion is measured by a remote sensing method using electromagnetic waves. Using UHF radar and GPS Sonde, the vertical profile of fluid velocity was calculated by the Euler measurement method and the Lagrange measurement method, respectively. Since the wind direction, which is the direction of motion of the atmosphere, is indicated in the direction of the wind blowing, and a circular value of 0° - 360° is used, it is necessary to pay attention to statistical analysis. Errors caused by calculation conditions are provided, and the corrected accuracy of comparison results is improved by 400%.

• Korean Journal of Remote Sensing
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• v.22 no.6
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• pp.485-493
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• 2006

This study is to combine precipitation data with different spatial-temporal characteristics using an optimal weighting method. This optimal weighting method is designed for combination of AWS rain gage data and S-band RADAR-estimated rain data with weighting function in inverse proportion to own mean square error for the previous time step. To decide the optimal weight coefficient for optimized precipitation according to different training time, the method has been performed on Changma case with a long spell of rainy hour for the training time from 1 hour to 10 hours. Horizontal field of optimized precipitation tends to be smoothed after 2 hours training time, and then optimized precipitation has a good agreement with synoptic station rainfall assumed as true value. This result suggests that this optimal weighting method can be used for production of high-resolution quantitative precipitation rate using various data sets.

• Journal of the Korean Chemical Society
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• v.62 no.4
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• pp.288-298
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• 2018

In this study, we surveyed pre- and post-perceptions of fourteen science teachers related to the atmosphere composition of molecules with different masses by the developed test. As a result of the test, the teachers were classified into two types of thoughts; One of them is considered the atmosphere to be a homogeneous solution, and the other is a thought that the composition ratio of the atmosphere was not homogeneous considering the different weights of particles. The two types were reclassified into three categories; one of them is considering large gravity effect, another is considering small gravity effect, and the other is considering medium scale gravity effect. Total six types of thoughts were found from the pre-test. After introducing crosscutting concepts which are related to the composition of atmosphere. The teachers discussed the phenomena with the molecular motion by weights of atoms and temperature, the homogeneity of the solution of air in chemistry domain. They also discussed with the relationship between mass and gravity and distance in physics domain. And the discussion included distribution of the atmosphere, convection phenomena, etc. After the discussion, the teachers changed their pre-conceptions to post-concoctions considering combined perspectives of gravity, mass, temperature, altitude etc. Through these changes, we are able to confirm the importance of crosscutting concepts covered in various disciplines. In the integrated science, we should help teachers to provide students with these types of thinking in order to form a coherent world-view and to carry out inquiry thinking as an intellectual tool.

• Korean Journal of Agricultural and Forest Meteorology
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• v.22 no.3
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• pp.171-175
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• 2020

Studies in socioeconomic impacts of air pollution are inevitable to merge data of the air pollutant density, weather, and socioeconomic variables. Due to their spatiotemporal disparities in units, to combine these data are time and effort consuming generically. The data described in this article aims to provide the major variables of air pollution and weather at the Si-Gun-Gu level to meet the data needs from social science. The latest (August 2020) data distributed are the balanced panel of 250 Si-Gun-Gu in South Korea for 2001-2018. The weather variables in this data are directly applicable to other social science topics, which are not limited to air pollution research.

• Atmosphere
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• v.33 no.2
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• pp.247-263
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• 2023

A brief history of the Korean Meteorological Society (KMS) is presented for the 60-year period (1963~2022). And academic activities during the period are examined to evaluate their contributions to the achievement of the KMS's goal, that is, the advance of meteorology and circulation of meteorological knowledge. Membership of the KMS was less than 300 before 1990, but increased fast afterwards, exceeding 1000, 2000 and 3000 in 2002, 2014 and 2019, respectively. After 1990, 11 professional committees were set up gradually and played important roles in the advances of professional fields. Size of the KMS budget grew gradually in the 1990s and faster during the 2000s, showing fluctuations in the 2010s. The KMS has been quite active in academic activities such as academic journals, domestic and international conferences, and book publishing. The Journal of the KMS (JKMS) has led the advance of meteorology in Korea since the beginning of the KMS, while "Asia-Pacific Journal of Atmospheric Sciences", which succeeded the JKMS in 2008, has been showing significant paper contributions from scientists around the world and increase of impact factor. Total number of presentations in the regular KMS conferences for the 2010s is 5 times larger than that for the 1990s, with a significant diversification of subject area. Internationally, the trilateral conference of the meteorological societies of Korea, China and Japan had been held since 2005. In 2015, the 3 societies stopped the conference and, instead, launched "Asian Conference on Meteorology". Meanwhile, the KMS has published glossaries, dictionaries, and textbooks of atmospheric sciences.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.04a
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• pp.892-895
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• 2010

무선 기기의 소형화와 무선 통신 기술의 발달, 그리고 센서의 환경 정보 측정 기술 및 센서 네트워크의 확산으로 홍수, 태풍, 지진, 환경 오염, 등 재난의 피해를 줄이고자 재해 방지 시스템에 대한 연구가 활발하게 진행되고 있다. 그리고 이러한 재해는 특정한 시간에 특정 지점에만 발생하는 특징이 있으며, 이 발생 시간을 제외한 나머지 시간대에서는 정상적인 상황을 유지한다. 이와 같은 특성은 센서 네트워크 응용에서 센서의 배터리 전력 유지 및 환경 정보 획득 방법을 설계할 때, 주요한 사안으로 고려되고 있다. 이 논문에서는 센서의 전력소비를 줄이고 대기 오염에 대한 정보를 오염 발생 시간에 따라 적절히 획득하기 위하여, 대기 오염 방지 시스템에서의 센서 샘플링 주기 조정 기법을 제안한다. 제안된 기법은 대기 오염의 현재와 가까운 미래의 상태를 기반으로 센서의 샘플링 주기가 변화하는 규칙과 경계, 가중치를 설정한다. 그리고 매 샘플링 주기마다 센서 데이터 값과 이전에 저장된 오염 레벨을 고려하여 다음 샘플링 주기를 갱신한다. 이렇게 변화하는 샘플링 주기로 인해 대기 오염 감지 시스템은 측정 데이터의 정확도와 센서의 배터리 전력 소비의 균현을 적절히 유지할 수 있다. 제안된 샘플링 주기 기법은 다양한 환경 감시 응용에 활용될 수 있다.

• Atmosphere
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• v.33 no.5
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• pp.457-475
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• 2023

Accurately predicting localized heavy rainfall is challenging without high-resolution mesoscale cloud information in the numerical model's initial field, as precipitation intensity and amount vary significantly across regions. In the Korean Peninsula, the radar observation network covers the entire country, providing high-resolution data on hydrometeors which is suitable for data assimilation (DA). During the pre-processing stage, radar reflectivity is classified into hydrometeors (e.g., rain, snow, graupel) using the background temperature field. The mixing ratio of each hydrometeor is converted and inputted into a numerical model. Moreover, assimilating saturated water vapor mixing ratio and decomposing radar radial velocity into a three-dimensional wind vector improves the atmospheric dynamic field. This study presents radar DA experiments using a numerical prediction model to enhance the wind, water vapor, and hydrometeor mixing ratio information. The impact of radar DA on precipitation prediction is analyzed separately for each radar component. Assimilating radial velocity improves the dynamic field, while assimilating hydrometeor mixing ratio reduces the spin-up period in cloud microphysical processes, simulating initial precipitation growth. Assimilating water vapor mixing ratio further captures a moist atmospheric environment, maintaining continuous growth of hydrometeors, resulting in concentrated heavy rainfall. Overall, the radar DA experiment showed a 32.78% improvement in precipitation forecast accuracy compared to experiments without DA across four cases. Further research in related fields is necessary to improve predictions of mesoscale heavy rainfall in South Korea, mitigating its impact on human life and property.

• The Science & Technology
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• no.9 s.424
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• pp.32-33
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• 2004

• The Science & Technology
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• no.4 s.419
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• pp.20-23
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• 2004