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    • Spatial‒temporal patterns and influencing factors of lake‒land cloud fraction difference in summer and autumn across China based on Sentinel‒5P observations

    • “The study revealed the spatiotemporal pattern of cloud cover differences between 334 lakes in China and adjacent land. "When lake winds occur, the sinking airflow of the lake surface suppresses the formation of clouds, thereby amplifying the difference in cloud cover between lakes and land," providing a key basis for lake land radiation research and lake model improvement.”
      • role：First author第一作者
      • Affiliation：

        Yale-NUIST Center on Atmospheric Environment, Key Laboratory of Ecosystem Carbon Source and Sink-China Meteorological Administration (ECSS-CMS) / Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, China

        Xinjiang Meteorological Service Center, Urumqi 830002, China

      • Email：202312080049@nuist.edu.cn
      • Introduction：王博，研究方向为湖气交换。E-mail： 202312080049@nuist.edu.cn

      WANG Bo

      13,
      • role：Corresponding author通信作者
      • Affiliation：

        Yale-NUIST Center on Atmospheric Environment, Key Laboratory of Ecosystem Carbon Source and Sink-China Meteorological Administration (ECSS-CMS) / Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, China

        Key Laboratory of Urban Meteorology, China Meteorological Administration, Beijing 100089, China

      • Email：wangw@nuist.edu.cn
      • Introduction：王伟，研究方向为地气系统能量平衡与水分循环。E-mail： wangw@nuist.edu.cn

      WANG Wei

      12 * ,
      • Affiliation：

        Yale-NUIST Center on Atmospheric Environment, Key Laboratory of Ecosystem Carbon Source and Sink-China Meteorological Administration (ECSS-CMS) / Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, China

      LYU Heng

      1,
      • Affiliation：

        Yale-NUIST Center on Atmospheric Environment, Key Laboratory of Ecosystem Carbon Source and Sink-China Meteorological Administration (ECSS-CMS) / Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, China

      WEN Zhiwen

      1,
      • Affiliation：

        Yale-NUIST Center on Atmospheric Environment, Key Laboratory of Ecosystem Carbon Source and Sink-China Meteorological Administration (ECSS-CMS) / Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, China

      ZHU Zihan

      1,
      • Affiliation：

        Yale-NUIST Center on Atmospheric Environment, Key Laboratory of Ecosystem Carbon Source and Sink-China Meteorological Administration (ECSS-CMS) / Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, China

      JIN Qiuxiang

      1,
      • Affiliation：

        Xinjiang Meteorological Service Center, Urumqi 830002, China

      CHEN Dongmei

      3,
      • Affiliation：

        Xinjiang Meteorological Service Center, Urumqi 830002, China

      LI Yiteng

      3
    • Vol. 30, Issue 1, Pages: 103-117(2026)  

    • DOI：10.11834/jrs.20255061    

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