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Journal of Atmospheric and Environmental Optics, Volume. 18, Issue 5, 434(2023)

Atmospheric visibility prediction method based on ConvLSTM and PredRNN

BAO Xulun1, LI Yi2、*, Hu Yiwen2,3, WANG Yang4, NIU Dan5, ZANG Zengliang2, and CHEN Xisong5
Author Affiliations
  • 1School of Software, Southeast University, Suzhou 215123, China
  • 2College of Meteorology and Oceanography, National University of Defense Technology, Changsha 410000, China
  • 3College of Atmospheric Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China
  • 4Beijing Hongxiang Technology Co., LTD, Beijing 100089, China
  • 5School of Automation, Southeast University, Nanjing 211189, China
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    AbstractGet PDF(in Chinese)
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    Figures & Tables(8)
    Structure diagram of LSTM (a) and ST-LSTM (b)

    Fig. 1. Structure diagram of LSTM (a) and ST-LSTM (b)

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    Structure diagram of ConvLSTM (a) and PredRNN (b)

    Fig. 2. Structure diagram of ConvLSTM (a) and PredRNN (b)

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    Visibility field map at 00:00, September 14, 2020

    Fig. 3. Visibility field map at 00:00, September 14, 2020

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    Example of weather forecast from 12:00 to 17:00, September 14, 2020. (a) True value; (b) ConvLSTM forecast map;(c) PredRNN forecast map

    Fig. 4. Example of weather forecast from 12:00 to 17:00, September 14, 2020. (a) True value; (b) ConvLSTM forecast map;(c) PredRNN forecast map

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    Example of weather forecast from 18:00 to 23:00, September 14, 2020. (a) True value; (b) ConvLSTM forecast map;(c) PredRNN forecast map

    Fig. 5. Example of weather forecast from 18:00 to 23:00, September 14, 2020. (a) True value; (b) ConvLSTM forecast map;(c) PredRNN forecast map

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    Sample test indexes were predicted on September 14, 2020. (a) Image evaluation indicators; (b) CSI evaluation indicators

    Fig. 6. Sample test indexes were predicted on September 14, 2020. (a) Image evaluation indicators; (b) CSI evaluation indicators

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    • Table 1. Average quantitative results of visibility field map data set (6 h)

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      Table 1. Average quantitative results of visibility field map data set (6 h)

      模型MSE (↓)SSIM (↑)LPIPS (↓)CSI-1000 m (↑)CSI-4000 m (↑)CSI-10000 m (↑)
      ConvLSTM33.210.4870.3270.2330.4760.569
      PredRNN31.650.5110.2700.2600.5020.587

    • Table 2. Average quantitative results of visibility field map data set (12 h)

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      Table 2. Average quantitative results of visibility field map data set (12 h)

      模型MSE (↓)SSIM (↑)LPIPS (↓)CSI-1000 m (↑)CSI-4000 m (↑)CSI-10000 m (↑)
      ConvLSTM70.320.3810.3730.1750.4180.511
      PredRNN58.730.4100.3250.1880.4410.541
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    Xulun BAO, Yi LI, Yiwen Hu, Yang WANG, Dan NIU, Zengliang ZANG, Xisong CHEN. Atmospheric visibility prediction method based on ConvLSTM and PredRNN[J]. Journal of Atmospheric and Environmental Optics, 2023, 18(5): 434

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    Paper Information

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    Received: Feb. 11, 2022

    Accepted: --

    Published Online: Dec. 1, 2023

    The Author Email: LI Yi (liyiqxxy@163.com)

    DOI:10.3969/j.issn.1673-6141.2023.05.004

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology