Acta Optica Sinica, Volume. 45, Issue 12, 1201008(2025)

Atmospheric Model Construction Method Based on K‑means Clustering and Random Forest Regression

Haosen Wang1,2, Chen Cheng2、*, Hailiang Shi2, Xianhua Wang2, Hanhan Ye2, Shichao Wu2, and Erchang Sun2
Author Affiliations
  • 1School of Electronic and Information Engineering, Anhui Jianzhu University, Hefei 230601, Anhui , China
  • 2Anhui Institute of Optics and Fine Mechanics, Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei 230031, Anhui , China
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    References(16)

    [2] Dai C M, Wei H L, Hu S X. Analysis on upper atmospheric radiance transfer characteristic to different HITRAN databases[J]. Acta Optica Sinica, 33, 0501001(2013).

    [8] Dai C M, Chen X H, Wei H L. The upper atmospheric radiative transfer code (SHARC) and its applications[J]. Infrared and Laser Engineering, 39, 233-238(2010).

    [9] Qin Q B, Wei H L. Construction of real-time atmospheric parameter profiles based on average radiosonde profiles and surface meteological datas[J]. Journal of Atmospheric and Environmental Optics, 8, 161-168(2013).

    [10] Gui Y, Duan S B, Yang J J et al. Construction of local atmospheric models in China based on UWYO atmospheric profiles[J]. China Agricultural Informatics, 33, 44-55(2021).

    [15] Wang S, Liu C, Xing S J. Review on K-means clustering algorithm[J]. Journal of East China Jiaotong University, 39, 119-126(2022).

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    Haosen Wang, Chen Cheng, Hailiang Shi, Xianhua Wang, Hanhan Ye, Shichao Wu, Erchang Sun. Atmospheric Model Construction Method Based on K‑means Clustering and Random Forest Regression[J]. Acta Optica Sinica, 2025, 45(12): 1201008

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    Paper Information

    Category: Atmospheric Optics and Oceanic Optics

    Received: Jan. 20, 2025

    Accepted: Feb. 17, 2025

    Published Online: Apr. 27, 2025

    The Author Email: Chen Cheng (chengchen@aiofm.ac.cn)

    DOI:10.3788/AOS250520

    CSTR:32393.14.AOS250520

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