A Bayesian convolutional neural network for prediction of GRACE-derived terrestrial water storage anomalies
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This dataset provides predictions of the GRACE-derived terrestrial water storage anomalies to fill the approximately one-year gap (July 2017-May 2018) between GRACE and its successor GRACE Follow-On. The predictions were obtained by a Bayesian convolutional neural network driven by climatic data.
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Zenodo创建时间：
2021-03-09
