• 대한원격탐사학회지
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• 제29권6호
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• pp.645-655
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• 2013

As one of segmentation techniques for Synthetic Aperture Radar (SAR) image with oil spill, we applied a bimodal histogram method to discriminate oil pixels from non-oil pixels. The threshold of each moving window was objectively determined using the two peaks in the histogram distribution of backscattering coefficients from ENVISAT ASAR image. To reduce the effect of wind speed on oil spill detection, we selected ASAR image which satisfied a limit of wind speeds for successful detection. Overall, a commonly used adaptive threshold method has been applied with a subjectively-determined single threshold. In contrast, the bimodal histogram method utilized herein produces a variety of thresholds objectively for each moving window by considering the characteristics of statistical distribution of backscattering coefficients. Comparison between the two methods revealed that the bimodal histogram method exhibited no significant difference in terms of performance when compared to the adaptive threshold method, except for around the edges of dark oil spots. Thus, we anticipate that the objective method based on the bimodality of oil slicks may also be applicable to the detection of oil spills from other SAR imagery.

• 한국지구과학회지
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• 제39권5호
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• pp.419-435
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• 2018

본 연구의 목적은 서산 태안 지역에서 마늘 생산량에 영향을 주는 기상 및 기후 인자를 파악하고 농가의 기후정보이용에 따른 경제적 가치를 분석하는 것이다. 이 지역에서 기후 특성과 경향이 1984-2013년의 서산지방기상청 기상자료, 1989-2013년의 마늘 생산량 국가통계자료, 2001-2100년간의 기후변화 시나리오 자료(RCP 4.5, 8.5)와 함께 분석되었다. 연구 결과는 다음과 같다. 첫째, 서산 태안 지역에서 겨울철 평균기온과 평균풍속이 다른 마늘 재배 지역에 비해 낮고 강하여 마늘 성장을 위한 저온 조건을 만족하였고, 5월의 누적강수량이 감소하여 한지형 마늘이 생육하기에 적합한 것으로 나타났다. 하지만 마늘의 수확기 때 평균기온, 누적강수량 및 평균풍속 등의 증가추세로 인해 미래 한지형 마늘 재배지는 줄어들 것이다. 둘째, 서산 태안 지역에서 기후변화 시나리오(RCP 4.5, 8.5)를 이용한 한지형과 난지형 마늘 모두 파종적기는 현재보다 늦어지고 수확적기는 빨라지며, 추후 100년 동안 재배기간이 50-90일 정도 짧아지는 것으로 나타난다. 셋째, 마늘 흑색썩음균핵병과 고자리파리의 발생 시작 일이 평균기온($^{\circ}C$)과 토양습도(%)를 이용한 기상 알고리즘을 적용함으로서 산출되었다. 특별히 RCP 4.5와 RCP 8.5 시나리오에서 미래 마늘 흑색썩음균핵병 발생일은 모두 현재보다 앞당겨 지는 것으로 나타났다. 넷째, 서산 태안지역에서 마늘 생산량(ka/10a)은 월동기 최저기온, 추대기 누적강수량, 월동기 평균풍속, 그리고 추대기 평균상대습도와 높은 상관을 나타내었다. 한편 마늘 재배에 있어 기후정보이용에 따른 마늘 생산량은 총생산량의 약 9%로 경제적 가치가 증가하는 것으로 나타났다.

• 대기
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• 제16권4호
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• pp.379-385
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• 2006

Meteorological Research Institute (METRI) participates the R&E (Research and Education) program of Korea Science and Engineering Foundation,"Variability of ocean status around Ulleung basin and Dok-do by using ARGO data" as a part of "Carricula development for gifted students" program. From this program, we support students to have an opportunity for handling scientific data with advanced technology and inspire their scientific interests. In this article, we introduce the training processes of this program and the results of data analysis by the students themselves.

• 한국지구과학회지
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• 제23권5호
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• pp.424-435
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• 2002

이 연구에서는 1997년부터 1999년 3년 간 대구광역시의 시간별 O$_3$ 농도 자료와 기상자료를 분석하여, 대구시의 고농도 오존 발생 일에 나타나는 기상학적 특성을 알아보고자 한다. 고농도 오존 발생 일의 선정은 우리나라 환경기준치인 1시간 평균 오존 농도 100ppb를 초과한 지점이 대구시의 6개 측정 지점 중 한 지점이라도 있는 경우로 정했다. 고농도 오존 발생 일은 13일이었으며, 5월과 9월이 가장 그 빈도가 높았다. 고농도 오존 발생 일의 하루 평균 최대 오존 농도는 81.6ppb이었으며, 8시간 평균 농도는 58.6ppb이었다. 이는 대구의 오존 오염이 연속적으로 그리고 광범위하게 일어났고 있음을 의미한다. 하루 최고 오존 농도는 일사량, 최고 온도와 양의 상관을 보였으며, 상대 습도, 풍속, 구름양과는 음의 상관을 보였다. 일사량과의 상관계수가 0.45로 가장 높았다. 고농도 오존 발생 일의 기상 값과 그 날을 포함하는 월평균 값과의 차이를 보면, +1.58hPa(해면 기압), +3.45${\circ}$C(최고 기온), -5.69%(상대 습도), -0.46ms$^{-1}$(풍속), -1.79(구름양), +3.97MJm$^{-2}$(일사량)을 각각 보였다. 이는 0700${\sim}$1100LST사이의 높은 일사량, 낮은 풍속, 무강수가 고농도 예측의 중요특징임을 나타낸다. 이는 이 시간의 정체와도 연관이 있다.

• Current Optics and Photonics
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• 제2권1호
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• pp.7-14
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• 2018

As a sophisticated detection technology, LIDAR has been widely employed to probe low-altitude windshear. Due to the drawbacks of the traditional ramp algorithm, the alarm accuracy of the LIDAR has not been satisfactory. Aiming at settling this matter, a novel method is proposed on the basis of improved signal smoothing and second windshear detection, which essentially acts as a combination of ramp algorithm and segmentation approach, involving the human factor as well as signal fluctuations. Experiments on the real and artificial signals verify our approach.

• 한국대기환경학회지
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• 제23권6호
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• pp.640-652
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• 2007

The MM5, RAMS and WRF, meteorological models have provided the dynamical parameters as inputs to air quality model. A major content of this study is that significant characteristics of three models for high-ozone occurrence analyze for surface wind and air temperature fields and compare with observation data in Seoul metropolitan area. An analysis of air temperature field revealed that location of core in high temperature of MM5 and WRF differed from that of RAMS. MM5 and WRF indicated high temperature in Seoul but RAMS represented it on the outskirts of Seoul. MM5 and WRF were underestimated maximum temperature during daytime but RAMS simulated similar value with observation data. Surface wind field with three models, it was shown many differences at horizontal distribution of wind direction. RAMS indicated weak wind speed in land and strong sea breeze at coastal areas than MM5 and WRF. However wind speed simulated by three model were overestimated during both daytime and nighttime.

• 한국지구과학회지
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• 제42권6호
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• pp.605-622
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• 2021

Seasonal forecasting has numerous socioeconomic benefits because it can be used for disaster mitigation. Therefore, it is necessary to diagnose and improve the seasonal forecast model. Moreover, the model performance is partly related to the ocean model. This study evaluated the hindcast performance in the upper ocean of the Global Seasonal Forecasting System version 5-Global Couple Configuration 2 (GloSea5-GC2) using a multivariable integrated evaluation method. The normalized potential temperature, salinity, zonal and meridional currents, and sea surface height anomalies were evaluated. Model performance was affected by the target month and was found to be better in the Pacific than in the Atlantic. An increase in lead time led to a decrease in overall model performance, along with decreases in interannual variability, pattern similarity, and root mean square vector deviation. Improving the performance for ocean currents is a more critical than enhancing the performance for other evaluated variables. The tropical Pacific showed the best accuracy in the surface layer, but a spring predictability barrier was present. At the depth of 301 m, the north Pacific and tropical Atlantic exhibited the best and worst accuracies, respectively. These findings provide fundamental evidence for the ocean forecasting performance of GloSea5.

• 한국지구과학회지
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• 제45권1호
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• pp.37-47
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• 2024

In the summer of 2018, the Korea-Japan (KJ) region experienced an extremely severe and prolonged heatwave. This study examines the GloSea6 model's prediction performance for the 2018 KJ heatwave event and investigates how its prediction skill is related to large-scale circulation patterns identified by the k-means clustering method. Cluster 1 pattern is characterized by a KJ high-pressure anomaly, Cluster 2 pattern is distinguished by an Eastern European high-pressure anomaly, and Cluster 3 pattern is associated with a Pacific-Japan pattern-like anomaly. By analyzing the spatial correlation coefficients between these three identified circulation patterns and GloSea6 predictions, we assessed the contribution of each circulation pattern to the heatwave lifecycle. Our results show that the Eastern European high-pressure pattern, in particular, plays a significant role in predicting the evolution of the development and peak phases of the 2018 KJ heatwave approximately two weeks in advance. Furthermore, this study suggests that an accurate representation of large-scale atmospheric circulations in upstream regions is a key factor in seasonal forecast models for improving the predictability of extreme weather events, such as the 2018 KJ heatwave.

• 한국지구물리탐사학회:학술대회논문집
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• 한국지구물리탐사학회 2010년도 학술대회 초록집
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• pp.47-50
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• 2010

• 한국간호교육학회지
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• 제15권2호
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• pp.251-259
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• 2009

Purpose: Climate change affects human health and calls for a health forecasting service. The purpose of this study was to explore the students' actual use and their satisfaction with meteorological information and the demands on health forecasting at a university in South Kyungsang Province. Method: This study used a descriptive design through structured self-report questionnaires including frequency, contents, purpose, perception, satisfaction of meterological information and need and demand of health forecasting. Data were collected from June 1 to 5, 2009 and analyzed using the SPSS 17.0 program. Descriptive statistics, t-test, ANOVA, $\chi^2$ test and Person's correlation coefficient were used to analyze the data. Result: The majority of the students watched the daily weather information to decide about daily work, outdoor activity or habitually. The mean score of need for health forecasting was $3.44{\pm}.81$, and the demand for health forecasting was $2.93{\pm}1.05$. Significant differences were found in the need for health forecasting according to sex, major, and environmental disease. In addition, the higher the satisfaction of health forecasting, the higher the demand for it. Conclusion: I suggest improving the meteorological information system technically and developing a health forecasting service resulting in a healthier and more comfortable life.