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Acta Optica Sinica, Volume. 44, Issue 18, 1800002(2024)

Progress in Quantitative Applications of Fengyun Meteorological Satellite Observations in Weather Nowcasting (Invited)

Jun Li1,2,3, Jing Zheng1,2,3、*, Min Min4, Bo Li1,2,3, Yunheng Xue5, Yayu Ma6, Han Lin7,8, Suling Ren1,2,3, Ning Niu9, Ling Gao1,2,3, Yan’an Liu10, Lizhi Wang11, and Zechun Li12
Author Affiliations
  • 1National Satellite Meteorological Center (National Center for Space Weather), Beijing 100081, China
  • 2Innovation Center for Fengyun Meteorological Satellite (FYSIC), Beijing 100081, China
  • 3Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, China Meteorological Administration, Beijing 100081, China
  • 4School of Atmospheric Sciences and Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University and Southern Laboratory of Ocean Science and Engineering, Zhuhai 519082, Guangdong , China
  • 5School of Atmospheric Sciences and Remote Sensing, Wuxi University, Wuxi 214105, Jiangsu , China
  • 6School of Computer Science, Chengdu University of Information Technology, Chengdu 610225, Sichuan , China
  • 7Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, Fuzhou 350108, Fujian , China
  • 8National & Local Joint Engineering Research Center of Satellite Geospatial Information Technology, Fuzhou University, Fuzhou 350108, Fujian , China
  • 9China Meteorological Administration Training Center, Beijing 100081, China
  • 10Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, Shanghai 200241, China
  • 11Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
  • 12China Meteorological Center, Beijing 100081, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (6)
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    References (51)
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    Figures & Tables(6)
    Results of radar composite reflectivity (CREF). (a) Actual observed CREF (20200709T01:00Z); (b) corresponding simulated CREF based on FY-4A observation data

    Fig. 1. Results of radar composite reflectivity (CREF). (a) Actual observed CREF (20200709T01:00Z); (b) corresponding simulated CREF based on FY-4A observation data

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    An example of convection in North China. (a) Recognition results of convective clouds based on FY-4A (20230730T06:16Z); (b) corresponding CREF

    Fig. 2. An example of convection in North China. (a) Recognition results of convective clouds based on FY-4A (20230730T06:16Z); (b) corresponding CREF

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    An example of SWIPE2.0 warning for convection. (a)(b) Warning signals for local convection at different levels (red indicates strong convection and green indicates weak convection); (c) CREF; (d) cumulative precipitation

    Fig. 3. An example of SWIPE2.0 warning for convection. (a)(b) Warning signals for local convection at different levels (red indicates strong convection and green indicates weak convection); (c) CREF; (d) cumulative precipitation

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    Cloud image extrapolation and cloud cover nowcasting system based on time series forecast technique[45]

    Fig. 4. Cloud image extrapolation and cloud cover nowcasting system based on time series forecast technique[45]

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    • Table 1. Statistical performance of CBH algorithm in different sample sets

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      Table 1. Statistical performance of CBH algorithm in different sample sets

      Sample subsetSample countRMSE /kmPCC
      Total sample （CALIPSO）1949491.870.92
      High confidence sample1574821.140.97
      Low confidence sample374673.580.69
      COD<0.1489782.570.88
      0.1<COD≤0.5687361.800.92
      0.5<COD≤1.0310221.400.92
      1.0<COD≤2.0244421.290.94
      2.0<COD≤3.0119001.280.94
      COD>3.098691.300.88

      Total sample

      （CloudSat+CALIPSO）

      		5918891.410.92

    • Table 2. Performance of Fengyun StormCast under development

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      Table 2. Performance of Fengyun StormCast under development

      ComponentFunction
      PrecipitationCastNowcasting for precipitation
      SWIPEStorm‐warning in pre‐convection environment
      RadarCastNowcasting for radar
      ImageCastNowcasting for cloud image
      LightningCastNowcasting for lightning
      HailCastNowcasting for hail
      WindCastNowcasting for wind
      TyphoonCastNowcasting for typhoon
      FireCastNowcasting for fire
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    Jun Li, Jing Zheng, Min Min, Bo Li, Yunheng Xue, Yayu Ma, Han Lin, Suling Ren, Ning Niu, Ling Gao, Yan’an Liu, Lizhi Wang, Zechun Li. Progress in Quantitative Applications of Fengyun Meteorological Satellite Observations in Weather Nowcasting (Invited)[J]. Acta Optica Sinica, 2024, 44(18): 1800002

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    Paper Information

    Category: Reviews

    Received: Feb. 29, 2024

    Accepted: Jul. 17, 2024

    Published Online: Sep. 11, 2024

    The Author Email: Jing Zheng (zhengjing@cma.gov.cn)

    DOI:10.3788/AOS240675

    CSTR:32393.14.AOS240675

    Topics

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