
Applicability Evaluation of Himawari-9 Downward Surface Shortwave Radiation (DSSR) Product under Complex Weather Conditions: A Case Study of Guangxi
DOI:
https://doi.org/10.30564/jees.v8i4.13029Abstract
The Advanced Himawari Imager (AHI) aboard Himawari-8/9 can provide downward surface shortwave radiation (DSSR) with 5 km and a high temporal resolution of 10 min. To evaluate its applicability under complex meteorological and topographic conditions, this study systematically assesses the overall quality of the Himawari-9 DSSR product in Guangxi region and its performance under different cloud and aerosol conditions, based on ground-observed observations from photovoltaic and meteorological stations in 2023. The overall comparison of hourly AHI DSSR and ground DSSR shows a high correlation coefficient (R = 0.85); however, there is also a large bias (RPE (relative prediction error) = 46.71%, RMSE (root mean square error) = 162.99 W/m2). Errors are larger in spring and summer, and spatially, errors are significantly higher in the hilly and mountainous areas of northwestern Guangxi compared to the flatter southern and central regions. Satellite retrieval accuracy degrades markedly as cloud cover and aerosol level intensify, with the correlation coefficients dipping from 0.90 (clear sky) to the lowest values of 0.11 (COD (cloud optical depth) > 50) and slightly decreasing from 0.84 (0 ≤ AOD (aerosol optical depth) ≤ 0.1) to 0.79 (AOD >2), respectively. These findings reveal critical limitations of satellite DSSR products under specific atmospheric conditions, providing essential guidance for photovoltaic resource assessment and power forecasting applications in Guangxi. It also serves as an important reference for the evaluation and application of satellite-derived surface radiation products at the national scale.
Keywords:
Downward Surface Shortwave Radiation (DSSR); Himawari-9; Photovoltaic Stations; Cloud Optical Depth (COD); Aerosol Optical Depth (AOD)References
[1] Trenberth, K.E., Fasullo, J.T., Kiehl, J., 2009. Earth's global energy budget. Bulletin of the American Meteorological Society. 90(3), 311–324.
[2] Stephens, G.L., Li, J., Wild, M., et al., 2012. An update on Earth's energy balance in light of the latest global observations. Nature Geoscience. 5(10), 691–696.
[3] Wild, M., 2012. Enlightening global dimming and brightening. Bulletin of the American Meteorological Society. 93(1), 27–37.
[4] Wild, M., Folini, D., Schär, C., et al., 2013. The global energy balance from a surface perspective. Climate Dynamics. 40(11), 3107–3134.
[5] Yin, J., Molini, A., Porporato, A., 2020. Impacts of solar intermittency on future photovoltaic reliability. Nature Communications. 11(1), 4781.
[6] Jin, H., Wang, S.J., Yan, P., et al., 2022. Spatial and temporal characteristics of surface solar radiation in China and its influencing factors. Frontiers in Environmental Science. 10, 973050.
[7] Hakuba, M.Z., Folini, D., Sanchez-Lorenzo, A., et al., 2013. Spatial representativeness of ground-based solar radiation measurements. Journal of Geophysical Research: Atmospheres. 118(15), 8585–8597.
[8] Huang, G., Li, Z., Li, X., et al., 2019. Estimating surface solar irradiance from satellites: Past, present, and future perspectives. Remote Sensing of Environment. 233, 111371.
[9] Shi, H., Li, W., Fan, X., et al., 2018. First assessment of surface solar irradiance derived from Himawari-8 across China. Solar Energy. 174, 164–170.
[10] Tang, W., He, J., Qi, J., et al., 2023. A dense station-based, long-term and high-accuracy dataset of daily surface solar radiation in China. Earth System Science Data. 15(10), 4537–4551.
[11] Liang, S., Wang, D., He, T., et al., 2019. Remote sensing of Earth's energy budget: Synthesis and review. International Journal of Digital Earth. 12(7), 737–780.
[12] Xia, X.A., Yang, D., Shen, Y., 2024. Fengyun radiation services for solar energy meteorology: Status and perspective. Advances in Atmospheric Sciences. 42, 252–260.
[13] Li, R., Wang, D., Liang, S., 2021. Comprehensive assessment of five global daily downward shortwave radiation satellite products. Science of Remote Sensing. 4, 100028.
[14] Yu, Y.C., Shi, J., Wang, T., et al., 2021. All-sky total and direct surface shortwave downward radiation (SWDR) estimation from satellite: Applications to MODIS and Himawari-8. International Journal of Applied Earth Observation and Geoinformation. 102, 102380.
[15] Huang, C., Shi, H., Yang, D., et al., 2023. Retrieval of sub-kilometer resolution solar irradiance from Fengyun-4A satellite using a region-adapted Heliosat-2 method. Solar Energy. 264, 112038.
[16] Yu, Y., Shi, J., Wang, T., et al., 2019. Evaluation of the Himawari-8 shortwave downward radiation (SWDR) product and its comparison with the CERES-SYN, MERRA-2, and ERA-Interim datasets. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(2), 519–532.
[17] Lu, L., Li, Y., Liang, L., et al., 2024. Diurnal variation in surface incident solar radiation retrieved by CERES and Himawari-8. Remote Sensing. 16(14), 2670.
[18] Xu, L., Mao, Y., 2024. Evaluation of two satellite surface solar radiation products in the urban region in Beijing, China. Remote Sensing. 16(11), 2030.
[19] Damiani, A., Irie, H., Horio, T., et al., 2018. Evaluation of Himawari-8 surface downwelling solar radiation by ground-based measurements. Atmospheric Measurement Techniques. 11(4), 2501–2521.
[20] Frouin, R., Murakami, H., 2007. Estimating photosynthetically available radiation at the ocean surface from ADEOS-II global imager data. Journal of Oceanography. 63(3), 493–503.
[21] Wang, L., Lang, Q., Wang, Z., et al., 2024. Quantifying and mitigating errors in estimating downward surface shortwave radiation caused by cloud mask data. IEEE Transactions on Geoscience and Remote Sensing. 62, 1–15.
[22] He, R., Zhou, S.Y., Su, Z., et al., 2015. Study on distribution characteristics and utilization suggestions of solar energy in Guangxi. Anhui Agricultural Science Bulletin. 21(24), 34–36. (in Chinese)
[23] Liang, Y.L., Shen, Y.B., Bai, L., et al., 2017. Assessment of solar energy resource and its exploitation potential in South China. Journal of Applied Meteorological Science. 28(4), 481–492. DOI: https://doi.org/10.11898/1001-7313.20170409 (in Chinese)
[24] Chen, L., Liu, C., Wang, J., et al., 2025. How is the spatiotemporal representativeness of ground- and satellite-based aerosol optical depth (AOD) measurements over Asia?. Atmospheric Research. 315, 107857.
[25] Imai, T., Yoshida, R., 2016. Algorithm theoretical basis for Himawari-8 cloud mask product. Meteorological Satellite Center Technical Note. 61, 1–17.
[26] Khatri, P., Iwabuchi, H., Hayasaka, T., et al., 2019. Retrieval of cloud properties from spectral zenith radiances observed by sky radiometers. Atmospheric Measurement Techniques. 12(11), 6037–6047.
[27] Huang, X., Ding, A., Liu, L., et al., 2016. Effects of aerosol-radiation interaction on precipitation during biomass-burning season in East China. Atmospheric Chemistry and Physics. 16(15), 10063–10082.
[28] Chen, J., Li, C., Ristovski, Z., et al., 2017. A review of biomass burning: Emissions and impacts on air quality, health and climate in China. Science of the Total Environment. 579, 1000–1034.
[29] Chepfer, H., Brogniez, H., Noel, V., 2019. Diurnal variations of cloud and relative humidity profiles across the tropics. Scientific Reports. 9(1), 16045.
[30] Hu, S., Gao, T.C., Li, H., et al., 2016. Atmospheric polarization pattern simulation for small solar elevation angles and the analysis of atmospheric effect. Acta Physica Sinica. 65(1), 014203. (in Chinese)
[31] Herrería-Alonso, S., Suárez-González, A., Rodríguez-Pérez, M., et al., 2020. A solar altitude angle model for efficient solar energy predictions. Sensors. 20(5), 1391.
[32] Huang, Y., Siems, S., Manton, M., et al., 2019. Evaluating Himawari-8 cloud products using shipborne and CALIPSO observations: Cloud-top height and cloud-top temperature. Journal of Atmospheric and Oceanic Technology. 36(12), 2327–2347.
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Copyright © 2026 Yiming Qin, Jiaqiu Hu, Lu Zhang, Kui Huang, Houjian Zhan, Jian Tang

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Yiming Qin