Journal of the Korean Solar Energy Society ISSN:1598-6411(Print) 2508-3562(Online) 한국태양에너지학회 논문집

Recently, satellite-derived solar irradiance data, generated by the Korea Institute of Energy Research, has been opened for public use via the Public Big Data Platform organized by the Ministry of Public Administration and Security. These data are the monthly mean of daily total irradiance for the domain with latitude between 32°N and 40°N and longitude between 124°E and 130°E with a horizontal resolution of 1 km. The purpose of this study is to evaluate the monthly mean of daily total irradiance by comparing it with the ground truth obtained from the Automated Synoptic Observing System (ASOS) in the Korea Meteorological Administration (KMA). For the investigation period, that is, from 2012 to 2019, the average value of the correlation coefficients for all stations is 0.913. In addition, the root mean square error, which is normalized to the observation, is 12.2%, which is larger than that reported in previous studies. The ground observations employed for the evaluation were not performed by data quality control system. In the Daejeon station, in-situ observation from ASOS in KMA is significantly different from the measurement that is controlled by a data quality system, which means that in-situ observation from ASOS in KMA would be dangerous for use in the evaluation. With the solar irradiance controlled by the data quality control system, the root mean square error is reduced from 15.8% to 5.3%. Therefore, it is necessary to examine the in-situ observation via data quality control for the quantitative analysis of satellite-derived solar irradiance.