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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2020.12
- 수록면
- 89 - 94 (6page)
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초록· 키워드
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We evaluated the forecast performance of solar radiation on the Korean Peninsula from the solar radiation data provided by the UASIBS-KIER model of KIER with the solar radiation forecast data generated by the GFS model of the NCEP. In this study, the spatial and temporal downscaling of the GFS model, a cumulative solar radiation forecast model per 3 hours units, was conducted to measure forecast performance. First, in the case of spatial downscaling, K-means clustering of solar radiation values corresponding to all latitude and longitude values of the Korean Peninsula was performed, and seven clusters were formed. Second, in the case of temporal downscaling, the cumulative solar radiation forecast value over 3 h was converted to the cumulative solar radiation value over 1 h. To measure the downscaling performance, the downscaling results of the cumulative forecast over 1 h of the GFS model were compared with the observed solar radiation values of the UASIBS-KIER model. We performed downscaling by using the same average ratio as the cumulative value over 3 h. In addition, we performed downscaling by using the correlation between the cumulative value over 1 h by the UASIBS-KIER model. Based on the rRMSE and rMAE, the use of the correlation was found to be more efficient that the use of the same average ratio.
목차
Abstract
1. 서론
2. GFS 모델의 공간적 상세화
3. GFS 모델의 시간적 상세화
4. 결론
REFERENCES
참고문헌 (5)
참고문헌 신청
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Lee, T., Park, T., Lee, H., and Jeong, C., Temporal Downscaling of Precipitation from Daily to Hourly Based on Nonparaetric Approach: Assessment of the Climate Change Impacts on the Hourly Precipitation for the Gyeongnam Region, Journal of Korean Society of Hazard Mitigation, Vol. 14, No. 4, pp. 301-308, 2014.
Gutierrez, J. M., Cofino, A. S., Cano, R., and Rodriguez, M. A., Clustering methods for statistical downscaling in short-range weather forecasts, Monthly Weather Review, Vol. 132, No. 9, pp. 2169-2183, 2004.
Sachindra, D. A., Ahmed, K., Rashid, M. M., Shahid, S., and Perera, B. J. C., Statistical Downscaling of Precipitation Using Machine Learning Techniques, Atmospheric Research, Vol. 212, pp. 240-258, 2018.
Campozano, L., Tenelanda, D., Sanchez, E., Samaniego, E., and Feyen, J., Comparison of Statistical Downscaling Methods for Monthly Total Precipitation: Case Study for the Paute River Basin in Southern Ecuador, Advances in Meteorology, 2016.
Lee, T., Park, T., Lee, H., and Jeong, C., Temporal Downscaling of Precipitation from Daily to Hourly Based on Nonparaetric Approach: Assessment of the Climate Change Impacts on the Hourly Precipitation for the Gyeongnam Region, Journal of Korean Society of Hazard Mitigation, Vol. 14, No. 4, pp. 301-308, 2014.
Gutierrez, J. M., Cofino, A. S., Cano, R., and Rodriguez, M. A., Clustering methods for statistical downscaling in short-range weather forecasts, Monthly Weather Review, Vol. 132, No. 9, pp. 2169-2183, 2004.
Sachindra, D. A., Ahmed, K., Rashid, M. M., Shahid, S., and Perera, B. J. C., Statistical Downscaling of Precipitation Using Machine Learning Techniques, Atmospheric Research, Vol. 212, pp. 240-258, 2018.
Campozano, L., Tenelanda, D., Sanchez, E., Samaniego, E., and Feyen, J., Comparison of Statistical Downscaling Methods for Monthly Total Precipitation: Case Study for the Paute River Basin in Southern Ecuador, Advances in Meteorology, 2016.
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UCI(KEPA) : I410-ECN-0101-2021-563-001444297