• Title/Summary/Keyword: 구름 분석

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An Estimation of Concentration of Asian Dust (PM10) Using WRF-SMOKE-CMAQ (MADRID) During Springtime in the Korean Peninsula (WRF-SMOKE-CMAQ(MADRID)을 이용한 한반도 봄철 황사(PM10)의 농도 추정)

  • Moon, Yun-Seob;Lim, Yun-Kyu;Lee, Kang-Yeol
    • Journal of the Korean earth science society
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    • v.32 no.3
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    • pp.276-293
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    • 2011
  • In this study a modeling system consisting of Weather Research and Forecasting (WRF), Sparse Matrix Operator Kernel Emissions (SMOKE), the Community Multiscale Air Quality (CMAQ) model, and the CMAQ-Model of Aerosol Dynamics, Reaction, Ionization, and Dissolution (MADRID) model has been applied to estimate enhancements of $PM_{10}$ during Asian dust events in Korea. In particular, 5 experimental formulas were applied to the WRF-SMOKE-CMAQ (MADRID) model to estimate Asian dust emissions from source locations for major Asian dust events in China and Mongolia: the US Environmental Protection Agency (EPA) model, the Goddard Global Ozone Chemistry Aerosol Radiation and Transport (GOCART) model, and the Dust Entrainment and Deposition (DEAD) model, as well as formulas by Park and In (2003), and Wang et al. (2000). According to the weather map, backward trajectory and satellite image analyses, Asian dust is generated by a strong downwind associated with the upper trough from a stagnation wave due to development of the upper jet stream, and transport of Asian dust to Korea shows up behind a surface front related to the cut-off low (known as comma type cloud) in satellite images. In the WRF-SMOKE-CMAQ modeling to estimate the PM10 concentration, Wang et al.'s experimental formula was depicted well in the temporal and spatial distribution of Asian dusts, and the GOCART model was low in mean bias errors and root mean square errors. Also, in the vertical profile analysis of Asian dusts using Wang et al's experimental formula, strong Asian dust with a concentration of more than $800\;{\mu}g/m^3$ for the period of March 31 to April 1, 2007 was transported under the boundary layer (about 1 km high), and weak Asian dust with a concentration of less than $400\;{\mu}g/m^3$ for the period of 16-17 March 2009 was transported above the boundary layer (about 1-3 km high). Furthermore, the difference between the CMAQ model and the CMAQ-MADRID model for the period of March 31 to April 1, 2007, in terms of PM10 concentration, was seen to be large in the East Asia area: the CMAQ-MADRID model showed the concentration to be about $25\;{\mu}g/m^3$ higher than the CMAQ model. In addition, the $PM_{10}$ concentration removed by the cloud liquid phase mechanism within the CMAQ-MADRID model was shown in the maximum $15\;{\mu}g/m^3$ in the Eastern Asia area.

Estimation of Total Cloud Amount from Skyviewer Image Data (Skyviewer 영상 자료를 이용한 전운량 산출)

  • Kim, Bu-Yo;Jee, Joon-Bum;Jeong, Myeong-Jae;Zo, Il-Sung;Lee, Kyu-Tae
    • Journal of the Korean earth science society
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    • v.36 no.4
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    • pp.330-340
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    • 2015
  • For this study, we developed an algorithm to estimate the total amount of clouds using sky image data from the Skyviewer equipped with CCD camera. Total cloud amount is estimated by removing mask areas of RGB (Red Green Blue) images, classifying images according to frequency distribution of GBR (Green Blue Ratio), and extracting cloud pixels from them by deciding RBR (Red Blue Ratio) threshold. Total cloud amount is also estimated by validity checks after removing sunlight area from those classified cloud pixels. In order to verify the accuracy of the algorithm that estimates total cloud amount, the research analyzed Bias, RMSE, and correlation coefficient compared to records of total cloud amount earned by human observation from the Gangwon Regional Meteorological Administration, which is in the closest vicinity of the observation site. The cases are selected four daily data from 0800 LST to 1700 LST for each season. The results of analysis showed that the Bias in total cloud amount estimated by the Skyviewer was an average of -0.8 tenth, and the RMSE was 1.6 tenths, indicating the difference in total cloud amount within 2 tenths. Also, correlation coefficient was very high, marking an average of over 0.91 in all cases, despite the distance between the two observation sites (about 4 km).

On the Relation Between Cloud-to-Ground Lightning and Rainfall During 2006 and 2007 Summer Cases (2006-2007년 여름 사례로 본 구름-지면 낙뢰와 강우의 관계)

  • Oh, Seok-Geun;Suh, Myoung-Seok;Lee, Yun-Jeong
    • Journal of the Korean earth science society
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    • v.31 no.7
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    • pp.749-761
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    • 2010
  • A relationship between cloud-to-ground lightning and rainfall was investigated by using the two-years (2006-2007) summer lightning data and the automatic weather stations (AWSs) data of the Korea Meteorological Administration. The negative lightning occurred at the core of highly concentrated convection, which is often accompanied with heavy rains. Whereas most positive lightning occurred at the anvil cloud with low density and light rains. The rainfall intensity is strongest when the negative and positive lightning occurred concurrently, and one with lightning is much stronger than that without lightning. A portion of the positive lightning of the total lightning was less than 10% during summer seasons, and the lightning without rains was about 34%. The rain rate was strongly correlated with the negative flash rate, and the correlation coefficients varied between 0.87 and 0.94 according to the co-location radius (5-15 km) of AWSs. Most of the lightning occurred 10 minutes before and/or concurrently occurred with rains. A portion of the convective rainfalls of the total rainfalls was at least 20% when we define the rainfalls with lightning as convective. The convective rainfall was greater during August than in June and July. In general, the portion of convective rainfalls showed a maximum diurnal variation during late afternoon as in the rains and lightning.

Analysis of the Effectiveness on Instructional Program by Water Circulation System Device (물의 순환 시스템 장치 개발 및 수업 프로그램 효과 분석)

  • Kang, Jung Su;Kim, Hyoungbum
    • Journal of the Korean Society of Earth Science Education
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    • v.11 no.1
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    • pp.21-37
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    • 2018
  • The purpose of the study is to visualize the concept of water circulation in elementary school students through science behavioral system. Elementary school students found it difficult to understand concepts related to the water cycle. Most of the elementary school children think it rains because the clouds are heavier. It is most difficult to explain invisible concepts to elementary school children. Also, experiments in current textbooks are likely to disrupt scientific concepts. Accordingly, conventional water cycle, dew, fog, and cloud experiments were integrated into one system. The researchers then developed a device that allowed students to see the water's circulation at a glance. It is intended to enable integrated thinking on evaporation, condensation and precipitation. In addition, a instruction program to guide students using the system has been developed to demonstrate its effectiveness. Employing a quasi-experimental design, the participants were measured on their concepts of evaporation, condensation, and water circulation before and after participation. The findings indicated that the experiment is more effective in changing the concepts of evaporation, condensation, and water circulation than in previous experiments. Also, the optimal conditions for making use of the device were found, and there were no various experimental parameters, such as condensation.

Application of the Rule-Based Image Classification Method to Jeju Island (규칙기반 영상분류 방법의 제주도 지역의 적용)

  • Lee, Jin-A;Lee, Sung-Soon
    • Spatial Information Research
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    • v.21 no.1
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    • pp.63-73
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    • 2013
  • Geographic features are reflected in satellite images, which contain characteristic elements. Information on changes can be obtained through a comparison of images taken at different times. If multi-temporal images can be classified through the use of an unsupervised method, this is likely to improve the accuracy of image classification and contribute to various applications. A rule-based image classification algorithm for automatic processing without human involvement has been developed, but it must be verified that its results are not affected by imperfect elements. In this study, Landsat images of Jeju Island were used to carry out a rule-based image classification. The application results were examined for complex cases, including the presence of clouds in the images, different photographed times, and the type of target area, such as city, mountain, or field. The presence of clouds did not affect calculations, and appropriate classification rules were applied, depending on the different photographed times. The expansion of the urban areas of Jeju and the increase of facilities such as vinyl greenhouses in Seoguipo were identified. Furthermore, space information changes and accurate classifications for Jeju Island were obtained. With the goal of performing high-quality unsupervised classifications, measures to generalize and improve the methods employed were searched for. The findings of this study could be used in time-series analyses of images for various applications, including urban development and environmental change monitoring.

Verification of precipitation enhancement by weather modification experiments using radar data (레이더 자료를 이용한 기상조절 실험에 의한 강수 증가 검증 연구)

  • Ro, Yonghun;Cha, Joo-Wan;Chae, Sanghee
    • Journal of Korea Water Resources Association
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    • v.53 no.11
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    • pp.999-1013
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    • 2020
  • Weather modification research has been actively performed worldwide, but a technology that can more quantitatively prove the research effects are needed. In this study, the seeding effect, the efficiency of precipitation enhancement in weather modification experiment, was verified using the radar data. Also, the effects of seeding material on hydrometeor change was analyzed. For this, radar data, weather conditions, and numerical simulation data for diffusion were applied. First, a method to analyze the seeding effect in three steps was proposed: before seeding, during seeding, and after seeding. The proposed method was applied to three cases of weather modification experiments conducted in Gangwon-do and the West Sea regions. As a result, when there is no natural precipitation, the radar reflectivity detected in the area where precipitation change is expected was determined as the seeding effect. When natural precipitation occurs, the seeding effect was determined by excluding the effect of natural precipitation from the maximum reflectivity detected. For the application results, it was found that the precipitation intensity increased by 0.1 mm/h through the seeding effect. In addition, it was confirmed that ice crystals, supercooled water droplets, and mixed-phase precipitation were distributed in the seeding cloud. The results of these weather modification research can be used to secure water resources as well as for future study of cloud physics.

Sensitivity Analysis of IR Aerosol Detection Algorithm (적외선 채널을 이용한 에어로솔 탐지의 경계값 및 민감도 분석)

  • Ha, Jong-Sung;Lee, Hyun-Jin;Kim, Jae-Hwan
    • Korean Journal of Remote Sensing
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    • v.22 no.6
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    • pp.507-518
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    • 2006
  • The radiation at $11{\mu}m$ absorbed more than at $12{\mu}m$ when aerosols is loaded in the atmosphere, whereas it will be the other way around when cloud is present. The difference of the two channels provides an opportunity to detect aerosols such as Yellow Sand even with the presence of clouds and at night. However problems associated with this approach arise because the difference can be affected by various atmospheric and surface conditions. In this paper, we has analyzed how the threshold and sensitivity of the brightness temperature difference between two channel (BTD) vary with respect to the conditions in detail. The important finding is that the threshold value for the BTD distinguishing between aerosols and cloud is $0.8^{\circ}K$ with the US standard atmosphere, which is greater than the typical value of $0^{\circ}K$. The threshold and sensitivity studies for the BTD show that solar zenith angle, aerosols altitude, surface reflectivity, and atmospheric temperature profile marginally affect the BTD. However, satellite zenith angle, surface temperature along with emissivity, and vertical profile of water vapor are strongly influencing on the BTD, which is as much as of about 50%. These results strongly suggest that the aerosol retrieval with the BTD method must be cautious and the outcomes must be carefully calibrated with respect to the sources of the error.

A Longitudinal Study on Customers' Usable Features and Needs of Activity Trackers as IoT based Devices (사물인터넷 기반 활동량측정기의 고객사용특성 및 욕구에 대한 종단연구)

  • Hong, Suk-Ki;Yoon, Sang-Chul
    • Journal of Internet Computing and Services
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    • v.20 no.1
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    • pp.17-24
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    • 2019
  • Since the information of $4^{th}$ Industrial Revolution is introduced in WEF (World Economic Forum) in 2016, IoT, AI, Big Data, 5G, Cloud Computing, 3D/4DPrinting, Robotics, Nano Technology, and Bio Engineering have been rapidly developed as business applications as well as technologies themselves. Among the diverse business applications for IoT, wearable devices are recognized as the leading application devices for final customers. This longitudinal study is compared to the results of the 1st study conducted to identify customer needs of activity trackers, and links the identified users' needs with the well-known marketing frame of marketing mix. For this longitudinal study, a survey was applied to university students in June, 2018, and ANOVA were applied for major variables on usable features. Further, potential customer needs were identified and visualized by Word Cloud Technique. According to the analysis results, different from other high tech IT devices, activity trackers have diverse and unique potential needs. The results of this longitudinal study contribute primarily to understand usable features and their changes according to product maturity. It would provide some valuable implications in dynamic manner to activity tracker designers as well as researchers in this arena.

Swelling of the BAEGDU Stratovolcanic Mountain Observed by DInSAR (DInSAR에 의한 백두산 성층화산암체의 지표변위)

  • 김상완;원중선;김정우;문우일;민경덕
    • Proceedings of the KSRS Conference
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    • 2001.03a
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    • pp.128-132
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    • 2001
  • 본 연구의 수행을 위해 23개의 JERS-1 SAR 와 두 개의 ERS-2 SAR 자료를 이용하였다. 비록 ERA-2 pair로부터 생성된 인터훼로그램(interferogram)은 70일의 짧은 간격 자료임에도 불구하고 수목, 구름, 눈 등에 의한 temporal decorrelation 과 낮은 관측각에 의한 layover등에 의해 인터훼로그램의 질이 좋지 않아 분석에 이용될 수 없었다. 반면에 JERS-1 SAR(L 밴드) 자료간의 pair는 매우 긴 시간 간격에도 불구하고 비교적 높은 긴밀도를 가지고 있어, 본 연구지역과 같이 지표 변화률이 매우 느릴 것으로 예상되는 지역에서 장기간의 변화를 관측하기에는 적합하다. 우리는 altitude of ambiguities가 매우 큰 3개의 인터훼로그램과 2-pass, 3-pass DInSAR 방법을 사용하여 1992년 9월과 1998년 10월 까지 약 6년 동안의 지표변위를 관측하였다. 다양한 시간 간격(704, 1056, 1100, 1118, 1232, 2112 days) 별로의 차분 인터훼로그램(differential interferogram)의 결과와 그들간의 상호관계성를 이용하여 연구지역의 지표변위를 분석하였다. 2-pass, 3-pass, 그리고 altitude of ambiguity가 큰 인터훼로그램으로부터 관측된 결과 모두, 백두산 산체와 남서쪽에 위치하고 있는 홍두산을 중심으로 수십km에 걸쳐서 지표가 상승하고 있음을 지시한다. 계산된 지표상승률은 1년에 약 9cm 정도이다.

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한반도 지표형태에 대한 MODIS TOA Radiance 분석

  • Lee, Sun-Gu;Kim, Yong-Seung
    • Aerospace Engineering and Technology
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    • v.2 no.1
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    • pp.190-196
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    • 2003
  • The top-of-atmosphere(TOA) radiance and its seasonal variation for various surface types have been analyzed using the MODIS direct broadcasting data acquired from the KARI ground station for the period between July 2002 and November 2003. The selected study areas considering the MODIS spatial resolution and the characteristics of the Korean peninsular are as follows: agricultural land, forest land, inland water, sea water, urban land, wetland, and atmosphere(cloud). The results showed that TOA radiances depend on the surface characteristics for the selected sample areas. Furthermore, the MODIS observations appear to well depict the general features of earth radiation properties. The authors hope that this study may provide the basic information on the analysis of hyperspectral data.

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