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Kharin, F. Liu, B. Journal of the Royal Statistical Society. Shi, and B. Your Privacy This site uses cookies to assist with navigation, analyse your use of our services, and provide content from third parties. Gao, Y. Trewin, and F.

  • More of the Chinese population will be exposed to heat waves
  • Xuejie Gao Google Scholar Citations

  • More of the Chinese population will be exposed to heat waves

    JH Christensen, B Hewitson, A Busuioc, A Chen, XJ Gao, I Held, R Jones, Chapter 11 of Climate Change The Physical Science Basis. Contribution. X Gao, X Yang, M Li, Q Sun, J Liang, J Luo, J Wang, W Li, J Liang, Y Liu, Advanced Functional Materials 29 (8),13, Designing a highly.

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    Xuejie Gao of Institute of Atmospheric Physics, Beijiang with expertise in Hydrology, Oceanography. Read 82 publications, and contact Xuejie Gao on.
    Kharin, V.

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    Gao, and Q. Wuebbles, D. Please take this quick survey to tell us about what happens after you publish a paper. Xu, Y. Jul 24, Your feedback will go directly to Science X editors.

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    FLUIDIC VERNA VS HONDA CITY 2015 MUGEN
    Future climate projections.

    Journal of Glaciology and Geocryology33 3— Tidal effects on long lakes Jul 26, Chen, X.

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    Xuejie Gao Google Scholar Citations

    Zwiers, Indices for monitoring changes in extremes based on daily temperature and precipitation data.

    Xuejie Gao from the Institute of Atmospheric Physics, Chinese Academy of Sciences, and his coauthors, try to answer this question based on.

    Authors; Authors and affiliations. Ying Xu; Xuejie Gao Email author; Filippo Giorgi ; Botao Zhou; Ying Shi; Jie Wu; Yongxiang Zhang. Ying Xu. 1.

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    Filippo GIORGI from the Abdus Salam International Centre for Theoretical Physics in Italy, and GAO Xuejie from the Institute of Atmospheric.
    Advances in Atmospheric Sciences. May 14, Learn more. Giorgi, b: A daily temperature dataset over China and its application in validating a RCM simulation. Kunkel, K.

    Xu, J.

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    Kharin, X. Zwiers, Indices for monitoring changes in extremes based on daily temperature and precipitation data.

    After first validating the model performance, future changes in the yr return values and return periods for these indices are investigated along with the inter-model spread. Sun, and X. Pan, Trends in temperature extremes during in China.

    Comments (5)

    1. Jura

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      Future changes in the yr return level for temperature and precipitation extremes over mainland China are investigated based on a CMIP5 multi-model ensemble for RCP2. Zwiers, and D.