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The Innovation Geoscience > 2026 Vol. 4 > No. 1 > 100195
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Multisource precipitation data fusion: Generating high-quality precipitation estimates

  • 1.

    National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210098, China

  • 2.

    College of Ocean Engineering and Energy, Guangdong Ocean University, Zhanjiang 524005, China

  • 3.

    State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

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  • Corresponding authors: zengjy@radi.ac.cn (J.Z.);  yongbin@hhu.edu.cn (B.Y.)
  • Received Date:  October 21, 2025
    Accepted Date:  January 12, 2026
    Published Online:  January 14, 2026
The Innovation Geoscience  4(1),  https://doi.org/10.59717/j.xinn-geo.2026.100195  |  Cite this article
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    • REFERENCES
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  • Cite this article:

    Chen H., Zeng J., Lyu Y., et al. (2026). Multisource precipitation data fusion: Generating high-quality precipitation estimates. The Innovation Geoscience 4:100195. https://doi.org/10.59717/j.xinn-geo.2026.100195
    Chen H., Zeng J., Lyu Y., et al. (2026). Multisource precipitation data fusion: Generating high-quality precipitation estimates. The Innovation Geoscience 4:100195. https://doi.org/10.59717/j.xinn-geo.2026.100195

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