기상청 천리안 위성 자료를 활용한 태양광 기상자원 특성 및 오차 분석
Characteristics and Error Analysis of Solar Resources Derived from COMS Satellite
4
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
The characteristics of solar resources in South Korea were analyzed by comparing the solar irradiance derived from COMS (Communication, Ocean and Meteorological Satellite) with in-situ ground observation data (Pyranometer). Satellite-derived solar irradiance and in-situ observation showed general coincidence with correlation coefficient higher than 0.9, but the satellite observations tended to overestimate the radiation amount compared to the ground observations. Analysis of hourly and monthly irradiance showed that relatively large discrepancies between the satellite and ground observations exist after sunrise and during July~August period which were mainly attributed to uncertainties in the satellite retrieval such as large atmospheric optical thickness and cloud amount. But differences between the two observations did not show distinct diurnal or seasonal cycles. Analysis of regional characteristics of solar irradiance showed that differences between satellite and in-situ observations are relatively large in metrocity such as Seoul and coastal regions due to air pollution and sea salt aerosols which act to increase the uncertainty in the satellite retrieval. It was concluded that the satellite irradiance data can be used for assessment and prediction of solar energy resources overcoming the limitation of ground observations, although it still has various sources of uncertainty.
Abstract
The characteristics of solar resources in South Korea were analyzed by comparing the solar irradiance derived from COMS (Communication, Ocean and Meteorological Satellite) with in-situ ground observation data (Pyranometer). Satellite-derived solar irradiance and in-situ observation showed general coincidence with correlation coefficient higher than 0.9, but the satellite observations tended to overestimate the radiation amount compared to the ground observations. Analysis of hourly and monthly irradiance showed that relatively large discrepancies between the satellite and ground observations exist after sunrise and during July~August period which were mainly attributed to uncertainties in the satellite retrieval such as large atmospheric optical thickness and cloud amount. But differences between the two observations did not show distinct diurnal or seasonal cycles. Analysis of regional characteristics of solar irradiance showed that differences between satellite and in-situ observations are relatively large in metrocity such as Seoul and coastal regions due to air pollution and sea salt aerosols which act to increase the uncertainty in the satellite retrieval. It was concluded that the satellite irradiance data can be used for assessment and prediction of solar energy resources overcoming the limitation of ground observations, although it still has various sources of uncertainty.
참고문헌 (22)
- Ayash, T., "Direct and indirect shortwave radiative effects of sea salt aerosols", J. Climate, 21, pp.3207~3220 (2008)
- 백종진, "천리안 위성의 일사량 검증: 설마천, 청미천", 대한원격탐사학회지, 29(1), pp.137~150 (2013), 대한원격탐사학회[DOI]
- Cristobal, J., "Validation of a Meteosat Second Generation solar radiation dataset over the northeastern Iberian Peninsula", Hydrol. Earth Syst. Sci, 17, pp.163~175 (2013)[DOI]
- Foltescu, V. L., "Sea salt generation, dispersion and removal on the regional scale", Atmos. Environ, 39, pp.2123~2133 (2005)
- Gueymard, C. A., "Modeling Solar Radiation at the Earth Surface", pp.1~27 (2008), Springer
- 지준범, "일사 관측 자료에 의한 남한의 태양복사 시공간 분포", 한국지구과학회지, 31(7), pp.720~737 (2011), 한국지구과학회
- Kariuki, B. W., "Interannual and spatial variability of solar radiation energy potential in Kenya using Meteosat satellite", Renew. Energy, 116, pp.88~96 (2018)[DOI]
- Kawai, Y., "Validation and improvement of satellite-derived surface solar radiation over the Northwestern Pacific Ocean", J. Oceanogr, 61, pp.79~89 (2005)
- Kawamura, H., "Estimation of insolation over the Pacific Ocean off the Sanriku Coast", J. Oceanogr, 54, pp.457~464 (1998)
- 김창기, "Evaluation of Global Horizontal Irradiance Derived from CLAVR-x Model and COMS Imagery Over the Korean Peninsula", 신재생에너지, 12, pp.13~20 (2016), 한국신·재생에너지학회
- INS: Insolation Algorithm Theoretical Basis Document (INS-v5.0), "KMA", NMSC, ATBD, pp.INS, 2012[DOI]
- Lorenz, E., "hort term forecasting of solar radiation based on satellite data", EUROSUN2004 (ISES Europe Solar Congress), pp.8~ (2004)
- Mazorra Aguiar, L., "Combining solar irradiance measurements, satellite-derived data and a numerical weather prediction model to improve intra-day solar forecasting", Renew. Energy, 97, pp.599~610 (2016)[DOI]
- Nottrott, A., "Validation of the NSRDBSUNY global horizontal irradiance in California", Sol. Energy, 84, pp.1816~1827 (2010)[DOI]
- Otkin, J. A., "Validation of GOES-based insolation estimates using data from the U.S. Climate Reference Network", J. Hydrometeor, 6, pp.460~475 (2005)
- Osinowo, A. A., "Analysis of global solar irradiance over climatic zones in Nigeria for solar energy applications", J. Sol. Energy, 9, pp.819307~ (2015)[DOI]
- Perez, R., "Validation of short and medium term operational solar radiation forecasts in the US", Sol. Energy, 84, pp.2161~2172 (2010)[DOI]
- "Fundamentals of Physical Geography" (2006)[URL]
- Sutter, M., "Comparison of two radiation algorithms for surface-based cloud-free sky detection", J. Geophys. Res., 109, pp.D17202~ (2004)[DOI]
- Thomas, C., "Validation of three satellite-derived databases of surface solar radiation using measurements performed at 42stations in Brazil", Adv. Sci. Res, 13, pp.81~86 (2016)[DOI]
- 염종민, "표면도달일사량 검증 시 발생하는 시간 불일치 조정을 통한 정확한 일사량 검증: MTSAT-1R 자료 이용", 대한원격탐사학회지, 24(6), pp.605~612 (2008), 대한원격탐사학회
- Jong-Min Yeom, "Evaluation on Penetration Rate of Cloud for Incoming Solar Radiation Using Geostationary Satellite Data", Asia-Pacific Journal of Atmospheric Sciences, 48(2), pp.115~123 (2012), 한국기상학회[DOI]