GRACE and GRACE-FO Related Publications (no abstracts)

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Bayesian Model Averaging Ensemble Approach for Multi-Time-Ahead Groundwater Level Prediction Combining the GRACE, GLEAM, and GLDAS Data in Arid Areas

Zhou, Ting, Wen, Xiaohu, Feng, Qi, Yu, Haijiao, and Xi, Haiyang, 2022. Bayesian Model Averaging Ensemble Approach for Multi-Time-Ahead Groundwater Level Prediction Combining the GRACE, GLEAM, and GLDAS Data in Arid Areas. Remote Sensing, 15(1):188, doi:10.3390/rs15010188.

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@ARTICLE{2022RemS...15..188Z,
       author = {{Zhou}, Ting and {Wen}, Xiaohu and {Feng}, Qi and {Yu}, Haijiao and {Xi}, Haiyang},
        title = "{Bayesian Model Averaging Ensemble Approach for Multi-Time-Ahead Groundwater Level Prediction Combining the GRACE, GLEAM, and GLDAS Data in Arid Areas}",
      journal = {Remote Sensing},
         year = 2022,
        month = dec,
       volume = {15},
       number = {1},
        pages = {188},
          doi = {10.3390/rs15010188},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2022RemS...15..188Z},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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