• Title/Summary/Keyword: Observation data

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A Study on Standard Ocean Lighted Buoy Type System for Real-time Ocean Meteorological Observation (실시간 해양관측을 위한 표준형 등부표용 시스템 연구)

  • Park, Sanghyun;Park, Yongpal;Bae, Dongjin;Kim, Jinsul;Park, Jongsu
    • Journal of Digital Contents Society
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    • v.19 no.9
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    • pp.1739-1749
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    • 2018
  • We propose a marine observation system using existing light buoys to observe various marine information of marine locations. Our proposed ocean observation system is composed of the existing standard light buoy type and can be easily connected to the light buoy. The proposed marine observation system measures the mean wave height, maximum wave height, mean wave height and water temperature measured in the ocean. Besides, it can measure the air pressure, temperature, wind speed and wind speed in real time. In order to measure important peaks in marine observations, 2200 peak data are collected for 10 minutes, and the collected data are subjected to spectral analysis to extract significant wave and wave period data. The developed system removes the noise by using the filter because the marine observation system attaches to the light buoy. We compare and analyze the measurement data of the existing proven floating marine observation system and the standard equivalent system developed. Also, it is proved that the data of the standard type backbone ocean observation system developed through the comparative experiment is similar to that of the existing ocean observation system.

Sensitivity Analysis of Simulated Precipitation System to the KEOP-2004 Intensive Observation Data (KEOP-2004 집중관측 자료에 대한 강수예측의 민감도 분석)

  • Park, Young-Youn;Park, Chang-Geun;Choi, Young-Jean;Cho, Chun-Ho
    • Atmosphere
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    • v.17 no.4
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    • pp.435-453
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    • 2007
  • KEOP (Korea Enhanced Observing Period)-2004 intensive summer observation was carried out from 20 June to 5 July 2004 over the Southwestern part of the Korean peninsula. In this study, the effects of KEOP-2004 intensive observation data on the simulation of precipitation system are investigated using KLAPS (Korea Local Analysis and Prediction System) and PSU/NCAR MM5. Three precipitation cases during the intensive observation are selected for detailed analysis. In addition to the control experiments using the traditional data for its initial and boundary conditions, two sensitivity experiments using KEOP data with and without Jindo radar are performed. Although it is hard to find a clear and consistent improvement in the verification score (threat score), it is found that the KEOP data play a role in improving the position and intensity of the simulated precipitation system. The experiments started at 00 and 12 UTC show more positive effect than those of 06 and 18 UTC. The effect of Jindo radar is dependent on the case. It plays a significant role in the heavy rain cases related to a mesoscale low over Changma front and the landing of a Typhoon. KEOP data produce more strong difference in the 06/18 UTC experiments than in 00/12 UTC, but give more positive effects in 00/12 UTC experiments. One of the possible explanations for this is that : KEOP data could properly correct the atmosphere around them when there are certain amounts of data, while gives excessive effect to the atmospheric field when there are few data. CRA analysis supports this reasoning. According to the CRA (Contiguous Rain Area) analysis, KEOP data in 00/12 UTC experiments improve only the surrounding area, resulting in essentially same precipitation system so the effects remain only in each convective cell rather than the system itself. On the other hand, KEOP data modify the precipitation system itself in 06/18 UTC experiments. Therefore the effects become amplified with time integration.

Young Children Teacher's Application Experience and Utilizing Observation of Digital Device

  • Kim, Dae-Wook;Song, Yun-Kyung
    • International Journal of Advanced Culture Technology
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    • v.10 no.4
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    • pp.126-136
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    • 2022
  • The purpose of this study is to investigate the application experience and observation of young children's teachers' digital devices. The participants of this study were 6 young children teachers using digital devices. Individual interviews were conducted as a data collection method. It was conducted 2-3 times per research participant. Data collection was conducted from November to December 2020. The Data analysis was focused on the young children's teachers' digital device application experience and observation use. 'Easy and simple use', 'using existing familiar apps', 'providing healing to teachers', and 'improving the utilization of spare time' were derived as early childhood teachers' experience of applying digital devices. 'Easy use of observation records', 'Use together in various ways', 'Use for parent counseling', 'Use appropriate for observation of revised Nuri Curriculum' through early childhood teacher's experience of observing digital devices ' was derived. As a conclusion of this study, first, it is easy for young children's teachers to apply digital devices to the field. Second, if young children's teachers use digital devices, they can make a wide range of observations, enabling high-quality early childhood education practices.

Development of an AutoFlat program for the acquisition of effective flat images in the automated observation system

  • Yoon, Joh-Na;Kim, Yonggi;Kim, Dong-Heun;Yim, Hong-Suh
    • Journal of Astronomy and Space Sciences
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    • v.30 no.4
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    • pp.327-334
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    • 2013
  • The purpose of this study is to develop an observation program for obtaining effective flat images that are necessary for photometric observation. The development of the program was achieved by improving the existing method for obtaining twilight flat images. The existing method for obtaining twilight flat images acquires flat images by observing the sky light after sunset or light before sunrise. The decision of when to observe flat images at each night is solely dependent on the judgment of an observer, and thus the obtained flat images for particular nights may not be clean. Especially, in the case of the observatories where an automated observation system is in operation, there is a difficulty that an observer should pay attention during sunrise and sunset in order to obtain flat images. In this study, a computer program is developed to improve this inconvenience and to efficiently perform photometric observation in the observatories where an automated observation system is applied. This program can obtain flat images by calculating the time for obtaining flat images automatically and the exposure time using a numerically calculated function. When obtaining twilight flat images at dusk and at dawn, the developed program performs automated observation and provides effective flat images by acquiring appropriate exposure time considering the sunrise and sunset times that vary depending on the day of observation. The code for performing this task was added to Obs Tool II (Yoon et al. 2006), which is the automated observation system of the Chungbuk National University Observatory, and the usefulness of the developed program was examined by performing an actual automated observation. If this program is applied to other observatories where automated observation is in operation, it is expected that stable and high-quality flat images could be obtained, which can be used for the pre-processing of photometric observation data.

Verification of the Global Numerical Weather Prediction Using SYNOP Surface Observation Data (SYNOP 지상관측자료를 활용한 수치모델 전구 예측성 검증)

  • Lee, Eun-Hee;Choi, In-Jin;Kim, Ki-Byung;Kang, Jeon-Ho;Lee, Juwon;Lee, Eunjeong;Seol, Kyung-Hee
    • Atmosphere
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    • v.27 no.2
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    • pp.235-249
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    • 2017
  • This paper describes methodology verifying near-surface predictability of numerical weather prediction models against the surface synoptic weather station network (SYNOP) observation. As verification variables, temperature, wind, humidity-related variables, total cloud cover, and surface pressure are included in this tool. Quality controlled SYNOP observation through the pre-processing for data assimilation is used. To consider the difference of topographic height between observation and model grid points, vertical inter/extrapolation is applied for temperature, humidity, and surface pressure verification. This verification algorithm is applied for verifying medium-range forecasts by a global forecasting model developed by Korea Institute of Atmospheric Prediction Systems to measure the near-surface predictability of the model and to evaluate the capability of the developed verification tool. It is found that the verification of near-surface prediction against SYNOP observation shows consistency with verification of upper atmosphere against global radiosonde observation, suggesting reliability of those data and demonstrating importance of verification against in-situ measurement as well. Although verifying modeled total cloud cover with observation might have limitation due to the different definition between the model and observation, it is also capable to diagnose the relative bias of model predictability such as a regional reliability and diurnal evolution of the bias.

A study on the improvement of rain detectors error status analysis and observation algorithm (강우감지기 오류현황 분석 및 관측 알고리즘 개선 연구)

  • Hwang, SungEun;Kim, ByeongTaek;Lee, YoungTae;In, SoRa
    • Journal of Korea Water Resources Association
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    • v.57 no.9
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    • pp.627-631
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    • 2024
  • We attempted to check the observation failure and error status of rain detectors for weather observation introduced and used in the 1980s and improve the collection and calculation algorithm of 1-minute rain detector data to enhance observation efficiency. Error status analysis revealed that among weather observation devices, rain detectors undergo manual quality control (MQC) the most frequently. It was determined that the precipitation recognition rate could be improved by refining the precipitation calculation algorithm. We examined and selected domestic and international rainfall detection algorithms and compared their precipitation recognition rates using random data. The algorithm that determined 'rainfall' when precipitation was measured at least once every 10 seconds showed the highest precipitation recognition rate. Although the algorithm tends to oversimulate precipitation, this can be improved through quality control of raw data. Based on the results of this study, it is believed that it can contribute to reducing the error rate and improving the accuracy of rain detectors.

Observing Sensitivity Experiment Based on Convective Scale Model for Upper-air Observation Data on GISANG 1 (KMA Research Vessel) in Summer 2018 (현업 국지모델기반 2018년 여름철 기상 1호 특별 고층관측자료의 관측 민감도 실험)

  • Choi, Dayoung;Hwang, Yoonjeong;Lee, Yong Hee
    • Atmosphere
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    • v.30 no.1
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    • pp.17-30
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    • 2020
  • KMA performed the special observation program to provide information about severe weather and to monitor typhoon PRAPIROON using the ship which called the Gisang 1 from 29 June 2018 to 4 July 2018 (UTC). For this period, upper-air was observed 21 times with 6 hour intervals using rawinsonde in the Gisang 1. We investigated the impact of upper-air observation data from the Gisang 1 on the performance of the operational convective scale model (we called LDAPS). We conducted two experiments that used all observation data including upper-air observation data from the Gisang 1 (OPER) and without it (EXPR). For a typhoon PRAPIROON case, track forecast error of OPER was lower than EXPR until forecast 24 hours. The intensity forecast error of OPER for minimum sea level pressure was lower than EXPR until forecast 12 hours. The intensity forecast error of OPER for maximum wind speed was mostly lower than EXPR until forecast 30 hours. OPER showed good performance for typhoon forecast compared with EXPR at the early lead time. Two precipitation cases occurred in the south of the Korean peninsula due to the impact of Changma on 1 July and typhoon on 3 July. The location of main precipitation band predicted from OPER was closer to observations. As assimilating upper-air data observed in the Gisang 1 to model, it showed positive results in typhoon and precipitation cases.

Ethical Conducts in Qualitative Research Methodology :Participant Observation and Interview Process

  • KANG, Eungoo;HWANG, Hee-Joong
    • Journal of Research and Publication Ethics
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    • v.2 no.2
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    • pp.5-10
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    • 2021
  • Purpose: Ethical behaviors become more salient when researchers utilize face-to-face interviews and observation with vulnerable groups or communities, which may be unable to express their emotions during the sessions. The present research aims to investigate ethical behaviors while conducting research have resonance due to the deep nature of observation and interview data collection methods. Research design, data and methodology: The present research obtained non-numeric (Textual) data based on prior literature review to investigate Ethical Conducts in Qualitative Research. Non-numeric data differs from numeric data in how the data is collected, analyzed and presented. It is important to formulate written questions and adopt them what the method claims for the researcher to understand the studied phenomenon. Results: Our findings show that while conducting qualitative research, researchers must adhere to the following ethical conducts; upholding informed consent, confidentiality and privacy, adhering to beneficence's principle, practicing honesty and integrity. Each ethical conduct is discoursed in detail to realize more information on how it impacts the researcher and research participants. Conclusions: The current authors concludes that five ethical conducts are important for realizing extensive and rich information during qualitative research and may be exploited in implementing research policies for researchers utilizing observation and interviews methods of data collection.

Long Term Flux Variation Analysis on the Boseong Paddy Field (보성 농업지역에서의 장기간 플럭스 특성 분석)

  • Young-Tae Lee;Sung-Eun Hwang;Byeong-Taek Kim;Ki-Hun Kim
    • Atmosphere
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    • v.34 no.1
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    • pp.69-81
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    • 2024
  • In this paper, Annual flux variations in the Boseong Tall Tower (BTT) from 2016 to 2020 were analyzed using data from three levels (2.5 m, 60 m, and 300 m). BTT was installed in Boseong-gun, Jeollanam-do in February 2014 and continued to conduct energy exchange observations such as CO2, sensible heat, and latent heat using the eddy covariance method until March 2023. The BTT was located in a very flat and uniform paddy field, and flux observations were conducted at four levels: 2.5 m, 60 m, 140 m, and 300 m above ground. Surface energy balance was confirmed from observed data of net radiation flux, soil heat flux, sensible heat flux, and latent heat flux. Additionally, 2.5 m height surface fluxes, which are most influenced by agricultural land, were compared with data from Local Data Assimilation and Prediction System (LDAPS) of the Korea Meteorological Administration to evaluate the accuracy of LDAPS flux data. The correlation coefficient between LDAPS flux data and observed values was 0.95 or higher. Excluding summer latent heat flux data, there was a general tendency for LDAPS data to be higher than observed values. The footprint areas estimated below 60 m height mainly covered agricultural land, and flux observations at 2.5 m and 60 m heights showed typical agricultural characteristics. In contrast, the footprint estimated at 300 m height did not show agricultural characteristics, indicating that observations at this height encompassed a wide range, including mountains, sea, and roads. The analysis results of long-term flux observations can contribute to understanding the energy and carbon dioxide fluxes in agricultural fields. Furthermore, these results can be utilized as essential data for validating and improving numerical models related to such fluxes.

Numerical Analysis of Wintertime Air Pollution in East Asia Region Using Long-Range Transport Model

  • Jang, Eun-Suk
    • Environmental Sciences Bulletin of The Korean Environmental Sciences Society
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    • v.4 no.2
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    • pp.103-110
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    • 2000
  • In order to understand the wintertime intermittent characteristics of the trans-boundary air pollutant transport observed in East Asia, a numerical simulation of the long-range transport of pollutants was applied using an atmospheric transport model(STEM-II). The numerical simulation was carried out for the entire month of January 1997 and specific atmospheric aerosol (including sulfate, nitrate, and other ion compounds0 observation data were compared from four observation sites(Cheju Island, Kanghwa Island, Dazaifu, and Fukue Island). The observation data revealed that concentration peaks were intermittently observed at 3 to 4-day intervals plus the four observation sites exhibited a very similar spatial variation. The horizontal and spatial scale of the heavily polluted air masses was analyzed based on numerical results. The mechanism of the intermittent transport of air pollutants was clearly explained by a comparison of the observed data with the numerical output. It was found that the wind pattern variations associated with the synoptic scale pressure system changes play an extremely important role in the transport of pollutants in this region.

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