• 제목/요약/키워드: weather station

검색결과 537건 처리시간 0.034초

AWS 지점별 기상데이타를 이용한 진화적 회귀분석 기반의 단기 풍속 예보 보정 기법 (Evolutionary Nonlinear Regression Based Compensation Technique for Short-range Prediction of Wind Speed using Automatic Weather Station)

  • 현병용;이용희;서기성
    • 전기학회논문지
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    • 제64권1호
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    • pp.107-112
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    • 2015
  • This paper introduces an evolutionary nonlinear regression based compensation technique for the short-range prediction of wind speed using AWS(Automatic Weather Station) data. Development of an efficient MOS(Model Output Statistics) is necessary to correct systematic errors of the model, but a linear regression based MOS is hard to manage an irregular nature of weather prediction. In order to solve the problem, a nonlinear and symbolic regression method using GP(Genetic Programming) is suggested for a development of MOS wind forecast guidance. Also FCM(Fuzzy C-Means) clustering is adopted to mitigate bias of wind speed data. The purpose of this study is to evaluate the accuracy of the estimation by a GP based nonlinear MOS for 3 days prediction of wind speed in South Korean regions. This method is then compared to the UM model and has shown superior results. Data for 2007-2009, 2011 is used for training, and 2012 is used for testing.

도시기상 관측을 위한 메타데이터의 표준화 (Standardization of Metadata for Urban Meteorological Observations)

  • 송윤영;채정훈;최민혁;박문수;최영진
    • 한국대기환경학회지
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    • 제30권6호
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    • pp.600-618
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    • 2014
  • The metadata for urban meteorological observation is standardized through comparison with those established at the World Meteorological Organization and the Korea Meteorological Administration to understand the surrounding environment around the sites exactly and maintain the networks and sites efficiently. It categorizes into metadata for an observational network and observational sites. The latter is again divided into the metadata for station general information, local scale information, micro scale information, and visual information in order to explain urban environment in detail. The metadata also contains the static information such as urban structure, surface cover, metabolism, communication, building density, roof type, moisture/heat sources, and traffic as well as the update information on the environment change, maintenance, replacement, and/or calibration of sensors. The standardized metadata for urban meteorological observation is applied to the Weather Information Service Engine (WISE) integrated meteorological sensor network and sites installed at Incheon area. It will be very useful for site manager as well as researchers in fields of urban meteorology, radiation, surface energy balance, anthropogenic heat, turbulence, heat storage, and boundary layer processes.

레이더 강수량 데이터가 수문모델링에서 수량에 미치는 영향 -미국 텍사스의 한 유역을 사례로- (The Impacts on Flow by Hydrological Model with NEXRAD Data: A Case Study on a small Watershed in Texas, USA)

  • 이태수
    • 대한지리학회지
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    • 제46권2호
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    • pp.168-180
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    • 2011
  • 강수량 데이터의 정확성은 수리모델링에서 중요하다 WRS-88D (Weather Surveillance Radar - 1988 Doppler) 레이더 시스템에서 예측하는 NEXRAD (Next Generation Radar) 강수량 데이터는 높은 시, 공간 해상도를 갖는 데이터라는 장점이 있다. 이 연구에서는 검증된 SWAT (Soil and Water Assessment Tool) 모델을 이용한 이 전의 연구를 바탕으로 일반 가상관측소와 NEXRAD 강수량 데이터를 비교하여 국지적 강우와 그 강우가 유출량에 미치는 영향에 대해 분석하였다. 이 연구에서는 NEXRAD 강수량 데이터를 이용한 선행 연구에 기상관측소의 데이터를 대체하여 시뮬레이션을 함으로써 그 차이를 알아 보고자 하였다. 한 유역과 1년간의 데이터를 선정하여 비교 분석한 경과 두 강수량 데이터는 큰 차이를 보였다. 이는 기상관측소의 위치가 연구지역과 거리가 있기 때문이다. 가장 큰 강수량의 차이를 보일 때는 3 차이가 94.5mm (NEXRAD 데이터가 더 큰 경우) 와 71.6mm (기상 관측소의 데이터가 더 큰 경우) 까지 나타났다. 이 차이는 강우가 대부분 실제로는 연구지역 밖에서 나타났거나 연구지역만의 국지적 강우임을 나타내는 것이다. 유출량의 비교에서는 NEXRAD를 이용한 시뮬레이션이 측정치에 더 가깝게 예측하였다.

토지이용도와 초기 기상 입력 자료의 선택에 따른 지상 기온 예측 정확도 비교 연구 (Comparative Study on the Accuracy of Surface Air Temperature Prediction based on selection of land use and initial meteorological data)

  • 김해동;김하영
    • 한국환경과학회지
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    • 제33권6호
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    • pp.435-442
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    • 2024
  • We investigated the accuracy of surface air temperature prediction according to the selection of land-use data and initial meteorological data using the Weather Research and Forecasting model-v4.2.1. A numerical experiment was conducted at the Daegu Dyeing Industrial Complex. We initially used meteorological input data from GFS (Global forecast system)and GDAPS (Global data assimilation and prediction system). High-resolution input data were generated and used as input data for the weather model using the land cover data of the Ministry of Environment and the digital elevation model of the Ministry of Land, Infrastructure, and Transport. The experiment was conducted by classifying the terrestrial and topographic data (land cover data) and meteorological data applied to the model. For simulations using high-resolution terrestrial data(10 m), global data assimilation, and prediction system data(CASE 3), the calculated surface temperature was much closer to the automatic weather station observations than for simulations using low-resolution terrestrial data(900 m) and GFS(CASE 1).

관측망 밀도 변화가 기상변수의 공간분포에 미치는 영향: 2019 강원영동 입체적 공동관측 캠페인 (Effects of Observation Network Density Change on Spatial Distribution of Meteorological Variables: Three-Dimensional Meteorological Observation Project in the Yeongdong Region in 2019)

  • 김해민;정종혁;김현욱;박창근;김백조;김승범
    • 대기
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    • 제30권2호
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    • pp.169-181
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    • 2020
  • We conducted a study on the impact of observation station density; this was done in order to enable the accurate estimation of spatial meteorological variables. The purpose of this study is to help operate an efficient observation network by examining distributions of temperature, relative humidity, and wind speed in a test area of a three-dimensional meteorological observation project in the Yeongdong region in 2019. For our analysis, we grouped the observation stations as follows: 41 stations (for Step 4), 34 stations (for Step 3), 17 stations (for Step 2), and 10 stations (for Step 1). Grid values were interpolated using the kriging method. We compared the spatial accuracy of the estimated meteorological grid by using station density. The effect of increased observation network density varied and was dependent on meteorological variables and weather conditions. The temperature is sufficient for the current weather observation network (featuring an average distance about 9.30 km between stations), and the relative humidity is sufficient when the average distance between stations is about 5.04 km. However, it is recommended that all observation networks, with an average distance of approximately 4.59 km between stations, be utilized for monitoring wind speed. In addition, this also enables the operation of an effective observation network through the classification of outliers.

Relation between Disease Incidence of Bacterial Grain Rot of Rice and Weather Conditions

  • Noh, Tae-Hwan;Kim, Hyung-Moo;Song, Wan-Yeob;Lee, Du-ku;Kang, Mi-Hyung;Shim, Hyeong-Kwon
    • Plant Resources
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    • 제7권1호
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    • pp.36-38
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    • 2004
  • Bacterial grain rot of rice caused by Burkholderia glumae was examined between weather condition and disease incidence. From 1998 to 2000, average disease incidence was 3.0 % without difference in survey regions. However, it was related closely to amount of rainfall that disease incidence higher in 1998 and 2000 to 3.0 % and 3.6 % respectively than 2.3 in 1999 relatively small volum of rainfall season.

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NMEA 2000 기반 2차원 초음파 풍향 풍속계에 관한 연구 (A Study on NMEA 2000 based two-dimensional Ultrasonic Anemometer)

  • 김종현;박동현;김경엽;유영호
    • 한국항행학회논문지
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    • 제15권1호
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    • pp.25-31
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    • 2011
  • 최근에는 NMEA 2000 프로토콜이 SOLAS 선박의 실시간 네트워크 장비의 표준으로 인증 된다. 본 논문에서는 항해 필수 장비인 초음파 센서를 이용한 NMEA 2000이 탑재된 2차원 풍향 풍속계를 개발하였다. 개발된 시스템은 NMEA 2000 장비와의 연결을 테스트하기 위해 수심, 속도, GPS 장비로 구성된 NMEA 2000 네트워크에 연결하였으며, 기존에 제작된 타사 풍향 풍속계와 비교하기 위해 기능시험을 수행하였다.

제설작업과 기상정보의 상관관계를 통한 제설취약성 분석 (Analysis of Snow Removal Vulnerability through Relationship between Snow Removal Works and Weather Forecasts)

  • 양충헌;김인수;전우훈
    • 한국도로학회논문집
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    • 제14권4호
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    • pp.141-148
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    • 2012
  • PURPOSES : This study demonstrates the need for the collection of road weather information in order to perform efficient snow removal works during the winter season. Snow removal operations are usually dependent upon weather information obtained from the Automatic Weather Station provided by the Korea Meteorological Administration. However, there are some difference between road weather and weather forecasts in their scope. This is because general weather forecasts are focused on macroscopic standpoints rather than microscopic perspectives. METHODS : In this study, the relationship between snow removal works and historical weather forecasts are properly analyzed to prove the importance of road weather information. We collected both weather data and snow removal works during winter season at "A" regional offices in Gangwon areas. RESULTS : Results showed that the validation of weather forecasts for snow removal works were depended on the height difference between AWS location and its neighboring roadway. CONCLUSIONS : Namely, it appears that road weather information should be collected where AWS location and its neighboring roadway have relatively big difference in their heights.

Evaluation of the Wet Bulb Globe Temperature (WBGT) Index for Digital Fashion Application in Outdoor Environments

  • Kwon, JuYoun;Parsons, Ken
    • 대한인간공학회지
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    • 제36권1호
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    • pp.23-36
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    • 2017
  • Objective: This paper presents a study to evaluate the WBGT index for assessing the effects of a wide range of outdoor weather conditions on human responses. Background: The Wet Bulb Globe Temperature (WBGT) index was firstly developed for the assessment of hot outdoor conditions. It is a recognised index that is used world-wide. It may be useful over a range of outdoor conditions and not just for hot climates. Method: Four group experiments, involving people performing a light stepping activity, were conducted to determine human responses to outside conditions in the U.K. They were conducted in September 2007 (autumn), December 2007 (winter), March 2008 (spring) and June 2008 (summer). Environmental measurements included WBGT, air temperature, radiant temperature (including solar load), humidity and wind speed all measured at 1.2m above the ground, as well as weather data measured by a standard weather station at 3m to 4m above the ground. Participants' physiological and subjective responses were measured. When the overall results of the four seasons are considered, WBGT provided a strong prediction of physiological responses as well as subjective responses if aural temperature, heart rate and sweat production were measured. Results: WBGT is appropriate to predict thermal strain on a large group of ordinary people in moderate conditions. Consideration should be given to include the WBGT index in warning systems for a wide range of weather conditions. However, the WBGT overestimated physiological responses of subjects. In addition, tenfold Borg's RPE was significantly different with heart rate measured for the four conditions except autumn (p<0.05). Physiological and subjective responses over 60 minutes consistently showed a similar tendency in the relationships with the $WBGT_{head}$ and $WBGT_{abdomen}$. Conclusion: It was found that either $WBGT_{head}$ or $WBGT_{abdomen}$ could be measured if a measurement should be conducted at only one height. The relationship between the WBGT values and weather station data was also investigated. There was a significant relationship between WBGT values at the position of a person and weather station data. For UK daytime weather conditions ranging from an average air temperature of $6^{\circ}C$ to $21^{\circ}C$ with mean radiant temperatures of up to $57^{\circ}C$, the WBGT index could be used as a simple thermal index to indicate the effects of weather on people. Application: The result of evaluation of WBGT might help to develop the smart clothing for workers in industrial sites and improve the work environment in terms of considering workers' wellness.