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  1. No Access

    Article

    Analysis of global vegetation resilience under different future climate scenarios

    Terrestrial ecosystems are experiencing notable changes due to global change, making it crucial to determine their future responses under different climate scenarios. In previous theories, it has been proposed...

    Zheng Chen, Peiyi Fan, **ntong Hou, Fei Ji, Li Li, Zhonghua Qian… in Climate Dynamics (2024)

  2. No Access

    Article

    Effects of CO \(_2\) vegetation forcing on precipitation and heat extremes in China

    Anthropogenic CO \(_2\) 2 ...

    Zheng Chen, **ntong Hou, Peiyi Fan, Fei Ji, Li Li, Guiquan Sun… in Climate Dynamics (2024)

  3. No Access

    Article

    Characteristics of regional heavy rainfall in the pre-flood season in South China and prediction skill of NCEP S2S

    South China stands out as one of the regions experiencing the longest flood season and the highest frequency of floods in China. Understanding the characteristics of heavy precipitation during the flood season...

    Ting Zheng, Zhihai Zheng, Guolin Feng, Yuheng Zhao, Peiyi Fan in Climate Dynamics (2024)

  4. No Access

    Article

    Feature selection using symmetric uncertainty and hybrid optimization for high-dimensional data

    Recently, when handling high-dimensional data, it has become extremely difficult to search this optimal subset of selected features due to the restriction of reducing the exponential increase of the search pro...

    Lin Sun, Shu**g Sun, Wei** Ding… in International Journal of Machine Learning … (2023)

  5. No Access

    Article

    Anthropogenic Contribution to the Rapid Warming over the Tibetan Plateau

    The Tibetan Plateau (TP) is rapidly warming, posing potential risks to regional to global climate and ecosystems. However, it remains ambiguous to what extent anthropogenic forcing contributes to the rapid TP ...

    Yu Wang, Pengcheng Yan, Fei Ji, Bicheng Huang, Peiyi Fan, Guolin Feng in Climate Dynamics (2023)

  6. No Access

    Article

    Summer precipitation prediction in eastern China based on machine learning

    In recent years, the development of machine learning, especially deep learning, has provided new methods and ideas for current climate research. Stacked auto-encoder based on deep learning are used to perform ...

    Peiyi Fan, Jie Yang, Zeng** Zhang, Naihui Zang, Yingfa Li… in Climate Dynamics (2023)