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Surface solar irradiance retrieval approach based on satellite band optimal combination and multi-spatial scale mapping

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  • Li, Na
  • Zhen, Zhao
  • Wang, Fei

Abstract

To address the gap in existing studies on surface solar irradiance (SSI) retrieval using satellite remote sensing data, where the impact of observed satellite bands and spatial observation range on SSI retrieval at specific locations has not been thoroughly analyzed, this paper proposes an SSI retrieval approach based on satellite band optimal combination and multi-spatial scale mapping. The SSI retrieval approach mainly consists of three parts: weather classification and satellite band optimal combination, weather type recognition, SSI retrieval based on multi-spatial scale observation. Specifically, First, weather types are first classified based on irradiance curve fluctuations. Next, irradiance data for each weather type is decomposed using the CEEMDAN method, with satellite band data optimal combination performed based on the correlation between each frequency component and the satellite channel data. Then, the threshold method and the Naive Bayes method is used to identify weather type. Finally, a method combining CNN-ATT-LSTM and GAT-FC NN is developed to perform SSI retrieval based on multi-spatial observation scale for each weather type. The experimental results show the necessity of optimizing satellite band data and analyzing the impact of satellite data across different scales for improving SSI retrieval accuracy.

Suggested Citation

  • Li, Na & Zhen, Zhao & Wang, Fei, 2026. "Surface solar irradiance retrieval approach based on satellite band optimal combination and multi-spatial scale mapping," Renewable Energy, Elsevier, vol. 256(PD).
    • Handle: RePEc:eee:renene:v:256:y:2026:i:pd:s0960148125017690
    DOI: 10.1016/j.renene.2025.124105
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    References listed on IDEAS

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