Articles | Volume 18, issue 23
https://doi.org/10.5194/amt-18-7315-2025
https://doi.org/10.5194/amt-18-7315-2025
Research article
 | 
03 Dec 2025
Research article |  | 03 Dec 2025

Validating physical and semi-empirical satellite-based irradiance retrievals using high- and low-accuracy radiometric observations in a monsoon-influenced continental climate

Yun Chen, Dazhi Yang, Chunlin Huang, Hongrong Shi, Adam R. Jensen, Xiang'ao Xia, Yves-Marie Saint-Drenan, Christian A. Gueymard, Martin János Mayer, and Yanbo Shen

Related authors

The radiative forcing of PM2.5 heavy pollution, its influencing factors and importance to precipitation during 2014–2023 in the Bohai Rim, China
Jun Zhu, Yingying Wang, Xu Yue, Huizheng Che, Xiangao Xia, Xiaofei Lu, Chenguang Tian, and Hong Liao
EGUsphere, https://doi.org/10.5194/egusphere-2025-4464,https://doi.org/10.5194/egusphere-2025-4464, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
First High-Resolution Surface Spectral Clear-Sky Ultraviolet Radiation Dataset across China (1981–2023): Development, Validation, and Variability
Qinghai Qi, Yuting Tan, Christian A Gueymard, Martin Wild, Bo Hu, Wenmin Qin, Taowen Sun, Ming Zhang, and Lunche Wang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-368,https://doi.org/10.5194/essd-2025-368, 2025
Revised manuscript accepted for ESSD
Short summary
Identification of Snowfall Riming and Aggregation Processes Using Ground-Based Triple-Frequency Radar
Danyang Wang, Wenying He, Yongheng Bi, Xiangao Xia, and Hongbin Chen
EGUsphere, https://doi.org/10.5194/egusphere-2025-4233,https://doi.org/10.5194/egusphere-2025-4233, 2025
This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).
Short summary
Validating global horizontal irradiance retrievals from Meteosat SEVIRI at increased spatial resolution against a dense network of ground-based observations
Job I. Wiltink, Hartwig Deneke, Yves-Marie Saint-Drenan, Chiel C. van Heerwaarden, and Jan Fokke Meirink
Atmos. Meas. Tech., 17, 6003–6024, https://doi.org/10.5194/amt-17-6003-2024,https://doi.org/10.5194/amt-17-6003-2024, 2024
Short summary
A Global Terrestrial Precipitable Water Vapor Dataset from 2012 to 2020 Based on Microwave Radiation Imager Measurements from Three Fengyun Satellites
Xinran Xia, Rubin Jiang, Min Min, Shengli Wu, Peng Zhang, and Xiangao Xia
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-395,https://doi.org/10.5194/essd-2024-395, 2024
Revised manuscript not accepted
Short summary

Cited articles

Alvo, M. and Yu, P. L. H.: Exploratory Analysis of Ranking Data, in: Statistical Methods for Ranking Data, Frontiers in Probability and the Statistical Sciences, Springer New York, 7–21, https://doi.org/10.1007/978-1-4939-1471-5, 2014. a
Atiya, A. F.: Why does forecast combination work so well?, International Journal of Forecasting, 36, 197–200, https://doi.org/10.1016/j.ijforecast.2019.03.010, 2020. a
Blaga, R., Sabadus, A., Stefu, N., Dughir, C., Paulescu, M., and Badescu, V.: A current perspective on the accuracy of incoming solar energy forecasting, Progress in Energy and Combustion Science, 70, 119–144, https://doi.org/10.1016/j.pecs.2018.10.003, 2019. a
Bright, J. M.: Solcast: Validation of a satellite-derived solar irradiance dataset, Solar Energy, 189, 435–449, https://doi.org/10.1016/j.solener.2019.07.086, 2019. a
Chen, S., Liang, Z., Guo, S., and Li, M.: Estimation of high-resolution solar irradiance data using optimized semi-empirical satellite method and GOES-16 imagery, Solar Energy, 241, 404–415, https://doi.org/10.1016/j.solener.2022.06.013, 2022. a
Download
Short summary
We tested two satellite-based irradiance datasets against both high- and low-accuracy ground-based measurements. The dataset is unique: it includes irradiance measurements from a new research-grade monitoring station in a rare climate, along with new satellite data from China's Fengyun-4B geostationary satellite. Findings suggest that using low-accuracy measurements as a reference for validation can be risky.
Share