Pablo Facundo Orte, Anabela Lusi, Facundo Carmona, R. D’Elia, A. Faramiñán, E. Wolfram
{"title":"Comparison of NASA-POWER solar radiation data with ground-based measurements in the south of South America","authors":"Pablo Facundo Orte, Anabela Lusi, Facundo Carmona, R. D’Elia, A. Faramiñán, E. Wolfram","doi":"10.1109/RPIC53795.2021.9648428","DOIUrl":null,"url":null,"abstract":"Accurate information of solar radiation from satellites is crucial for many applications, mainly in regions with lack of ground-based measurements. In this sense, comparison with ground-based measurement is necessary to ensure the reliability of the information. In this work, the daily global solar irradiation data from NASA’s Prediction of Worldwide Energy Resources (NASA-POWER; power.larc.nasa.gov) were compared with ground-based measurements in the 8 stations of the Saver-Net solar irradiance network (http://www.savernet-satreps.org/en) installed in the south of South America. A linear regression analysis was performed to analyze the agreement between satellite data and ground-based measurements. The coefficient of determination shows very good correspondence with a mean value of 0.95. The mean absolute error (0.63 kWh/m2/d) and the root mean squared error (0.48 kWh/m2/d) reflect a low difference.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 XIX Workshop on Information Processing and Control (RPIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RPIC53795.2021.9648428","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Accurate information of solar radiation from satellites is crucial for many applications, mainly in regions with lack of ground-based measurements. In this sense, comparison with ground-based measurement is necessary to ensure the reliability of the information. In this work, the daily global solar irradiation data from NASA’s Prediction of Worldwide Energy Resources (NASA-POWER; power.larc.nasa.gov) were compared with ground-based measurements in the 8 stations of the Saver-Net solar irradiance network (http://www.savernet-satreps.org/en) installed in the south of South America. A linear regression analysis was performed to analyze the agreement between satellite data and ground-based measurements. The coefficient of determination shows very good correspondence with a mean value of 0.95. The mean absolute error (0.63 kWh/m2/d) and the root mean squared error (0.48 kWh/m2/d) reflect a low difference.