• 제목/요약/키워드: MERRA reanalysis data

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해상풍력자원 평가를 위한 ERA-Interim/MERRA 재해석 데이터 신뢰성 평가 (Reliability assessment of ERA-Interim/MERRA reanalysis data for the offshore wind resource assessment)

  • 변종기;손진혁;고경남
    • 동력기계공학회지
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    • 제20권4호
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    • pp.44-51
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    • 2016
  • An investigation on reliability of reanalysis wind data was conducted using the met mast wind data at four coastal regions, Jeju Island. Shinchang, Handong, Udo and Gangjeong sites were chosen for the met mast sites, and ERA-Interim and MERRA reanalysis data at two points on the sea around Jeju Island were analyzed for creating Wind Statistics of WindPRO software. Reliability of reanalysis wind data was assessed by comparing the statistics from the met mast wind data with those from Wind Statistics of WindPRO software. The relative error was calculated for annual average wind speed, wind power density and annual energy production. In addition, Weibull wind speed distribution and monthly energy production were analyzed in detail. As a result, ERA-Interim reanalysis data was more suitable for wind resource assessment than MERRA reanalysis data.

해상풍력발전단지 연간발전량 예측을 위한 MERRA 재해석 데이터 적용 타당성 연구 (A Feasibility Study on Annual Energy Production of the Offshore Wind Farm using MERRA Reanalysis Data)

  • 송원;김현규;변준호;백인수;유능수
    • 한국태양에너지학회 논문집
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    • 제35권2호
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    • pp.33-41
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    • 2015
  • A feasibility study to estimate annual energy production of an offshore wind farm was performed using MERRA reanalysis data. Two well known commercial codes commonly used to wind farm design and power prediction were used. Three years of MERRA data were used to predict annual energy predictions of the offshore wind farm close to Copenhagen from 2011 to 2013. The availability of the wind farm was calculated from the power output data available online. It was found from the study that the MERRA reanalysis data with commercial codes could be used to fairly accurately predict the annual energy production from offshore wind farms when a meteorological mast is not available.

MERRA 재해석자료를 이용한 서해상 풍력자원평가 (Wind Resource Assessment on the Western Offshore of Korea Using MERRA Reanalysis Data)

  • 김현구;장문석;유기완
    • 풍력에너지저널
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    • 제4권1호
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    • pp.39-45
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    • 2013
  • Massive offshore wind projects of have recently been driven in full gear on the Western Offshore of Korea including the 2.5 GW West-Southern Offshore Wind Project of the Ministry of Trade, Industry and Energy, and the 5 GW Offshore Wind Project of the Jeollanamdo Provincial Government. On this timely occasion, this study performed a general wind resource assessment on the Western Offshore by using the MERRA reanalysis data of temporal-spatial resolution and accuracy greatly improved comparing to conventional reanalysis data. It is hard to consider that wind resources on the Western Sea are excellent, since analysis results indicated the average wind speed of 6.29 ± 0.39 m/s at 50 m above sea level, and average wind power density of 307 ± 53 W/m2. Therefore, it is considered that activities shall be performed for guarantee economic profits from factor other than wind resources when developing an offshore wind project on the Western Offshore.

MERRA-2 재분석자료를 활용한 적도 대류권계면층의 오존 수송 및 계절변동성 분석 (Analysis of the Ozone Transport and Seasonal Variability in the Tropical Tropopause Layer using MERRA-2 Reanalysis Data)

  • 류호선;김주완
    • 대기
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    • 제30권1호
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    • pp.91-102
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    • 2020
  • MERRA-2 ozone and atmospheric data are utilized to test the usefulness of reanalysis-based tracer transport analysis for ozone in the tropical tropopause layer (TTL). Transport and mixing processes related to the seasonal variation of TTL ozone are examined using the tracer transport equation based on the transformed Eulerian mean, and the results are compared to previously proposed values from model analyses. The analysis shows that the seasonal variability of TTL ozone is mainly determined by two processes: vertical mean transport and horizontal eddy mixing of ozone, with different contributions in the Northern and Southern Hemispheres. The horizontal eddy mixing process explains the major portion of the seasonal cycle in the northern TTL, while the vertical mean transport dominates in the southern TTL. The Asian summer monsoon likely contributes to this observed difference. The ozone variability and related processes in MERRA-2 reanalysis show qualitatively similar features with satellite- and model-based analyses, and it provides advantages of fine-scale analyses. However, it still shows significant quantitative biases in ozone budget analysis.

MERRA 재해석 데이터를 이용한 중국 동하이대교 풍력단지 에너지발전량 예측 (Prediction of Energy Production of China Donghai Bridge Wind Farm Using MERRA Reanalysis Data)

  • 고월;김병수;이중혁;백인수;유능수
    • 한국태양에너지학회 논문집
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    • 제35권3호
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    • pp.1-8
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    • 2015
  • The MERRA reanalysis data provided online by NASA was applied to predict the monthly energy productions of Donghai Bridge Offshore wind farms in China. WindPRO and WindSim that are commercial software for wind farm design and energy prediction were used. For topography and roughness map, the contour line data from SRTM combined with roughness information were made and used. Predictions were made for 11 months from July, 2010 to May, 2011, and the results were compared with the actual electricity energy production presented in the CDM(Clean Development Mechanism)monitoring report of the wind farm. The results from the prediction programs were close to the actual electricity energy productions and the errors were within 4%.

MERRA 재해석 자료를 이용한 복잡지형 내 풍력발전단지 연간에너지발전량 예측 (Prediction of Annual Energy Production of Wind Farms in Complex Terrain using MERRA Reanalysis Data)

  • 김진한;권일한;박웅식;유능수;백인수
    • 한국태양에너지학회 논문집
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    • 제34권2호
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    • pp.82-90
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    • 2014
  • The MERRA reanalysis data provided online by NASA was applied to predict the annual energy productions of two largest wind farms in Korea. The two wind farms, Gangwon wind farm and Yeongyang wind farm, are located on complex terrain. For the prediction, a commercial CFD program, WindSim, was used. The annual energy productions of the two wind farms were obtained for three separate years of MERRA data from June 2007 to May 2012, and the results were compared with the measured values listed in the CDM reports of the two wind farms. As the result, the prediction errors of six comparisons were within 9 percent when the availabilities of the wind farms were assumed to be 100 percent. Although further investigations are necessary, the MERRA reanalysis data seem useful tentatively to predict adjacent wind resources when measurement data are not available.

Generation and Verification on the Synthetic Precipitation/Temperature Data

  • Oh, Jai-Ho;Kang, Hyung-Jeon
    • 한국농림기상학회:학술대회논문집
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    • 한국농림기상학회 2016년도 추계 학술발표논문집
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    • pp.25-28
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    • 2016
  • Recently, because of the weather forecasts through the low-resolution data has been limited, the demand of the high-resolution data is sharply increasing. Therefore, in this study, we restore the ultra-high resolution synthetic precipitation and temperature data for 2000-2014 due to small-scale topographic effect using the QPM (Quantitative Precipitation Model)/QTM (Quantitative Temperature Model). First, we reproduce the detailed precipitation and temperature data with 1km resolution using the distribution of Automatic Weather System (AWS) data and Automatic Synoptic Observation System (ASOS) data, which is about 10km resolution with irregular grid over South Korea. Also, we recover the precipitation and temperature data with 1km resolution using the MERRA reanalysis data over North Korea, because there are insufficient observation data. The precipitation and temperature from restored current climate reflect more detailed topographic effect than irregular AWS/ASOS data and MERRA reanalysis data over the Korean peninsula. Based on this analysis, more detailed prospect of regional climate is investigated.

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성산 풍력발전단지의 연간발전량 예측 정확도 평가 (Accuracy Assessment of Annual Energy Production Estimated for Seongsan Wind Farm)

  • 주범철;신동헌;고경남
    • 한국태양에너지학회 논문집
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    • 제36권2호
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    • pp.9-17
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    • 2016
  • In order to examine how accurately the wind farm design software, WindPRO and Meteodyn WT, predict annual energy production (AEP), an investigation was carried out for Seongsan wind farm of Jeju Island. The one-year wind data was measured from wind sensors on met masts of Susan and Sumang which are 2.3 km, and 18 km away from Seongsan wind farm, respectively. MERRA (Modern-Era Retrospective Analysis for Research and Applications) reanalysis data was also analyzed for the same period of time. The real AEP data came from SCADA system of Seongsan wind farm, which was compare with AEP data predicted by WindPRO and Meteodyn WT. As a result, AEP predicted by Meteodyn WT was lower than that by WindPRO. The analysis of using wind data from met masts led to the conclusion that AEP prediction by CFD software, Meteodyn WT, is not always more accurate than that by linear program software, WindPRO. However, when MERRA reanalysis data was used, Meteodyn WT predicted AEP more accurately than WindPRO.

대류권 오존 재분석 자료의 품질 검증: 포항 오존존데와 비교 검증 (Evaluation of the Troposphere Ozone in the Reanalysis Datasets: Comparison with Pohang Ozonesonde Observation)

  • 박진경;김서연;손석우
    • 대기
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    • 제29권1호
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    • pp.53-59
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    • 2019
  • The quality of troposphere ozone in three reanalysis datasets is evaluated with longterm ozonesonde measurement at Pohang, South Korea. The Monitoring Atmospheric Composition and Climate (MACC), European Centre for Medium-Range Weather Forecasts Interim Reanalysis (ERAI) and Modern Era Retrospective-Analysis for Research and Applications version 2 (MERRA2) are particularly examined in terms of the vertical ozone structure, seasonality and long-term trend in the lower troposphere. It turns out that MACC shows the smallest biases in the ozone profile, and has realistic seasonality of lower-tropospheric ozone concentration with a maximum ozone mixing ratio in spring and early summer and minimum in winter. MERRA2 also shows reasonably small biases. However, ERAI exhibits significant biases with substantially lower ozone mixing ratio in most seasons, except in mid summer, than the observation. It even fails to reproduce the seasonal cycle of lower-tropospheric ozone concentration. This result suggests that great caution is needed when analyzing tropospheric ozone using ERAI data. It is further found that, although not statistically significant, all datasets consistently show a decreasing trend of 850-hPa ozone concentration since 2003 as in the observation.

동아시아 지역 오존 전량 재분석 자료의 검증 (Evaluation of the Total Column Ozone in the Reanalysis Datasets over East Asia)

  • 한보름;오지영;박선민;손석우
    • 대기
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    • 제29권5호
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    • pp.659-669
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    • 2019
  • This study assesses the quality of the total column ozone (TCO) data from five reanalysis datasets against nine independent observation in East Asia. The assessed datasets are the ECMWF Interim reanalysis (ERAI), Monitoring Atmosphere Composition and Climate reanalysis (MACC), Copernicus Atmosphere Monitoring Service reanalysis (CAMS), the NASA Modern-Era Retrospective analysis for Research and Applications, Version2 (MERRA2), and NCEP Climate Forecast System Reanalysis (CFSR). All datasets reasonably well capture the spatial distribution, annual cycle and interannual variability of TCO in East Asia. In particular, characteristics of TCO according to the latitude difference were similar at all points with a maximum bias of less than about 4%. Among them, CAMS and CFSR show the smallest mean bias and root-mean square error across all nine ground-based observations. This result indicates that while TCO data in modern reanalyses are reasonably good, CAMS and CFSR TCO data are the best for analysing the spatio-temporal variability and change of TCO in East Asia.