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This datasets provide predictions of the terrestrial water storage anomalies (TWSAs) during the 11-month gap (July 2017-May 2018) between the GRACE satellite and its follow-on GRACE-FO. The predictions were obtained by a hydroclimatic data-driven Bayesian convolutional neural network driven. The training period is April 2002-March 2014. Based on the predicted TWSAs, the terrestrial water storage deficit (WSD) dataset and its standardized version, the WSD index (WSDI) dataset, are also provided. The GIF animation depicts the GRACE and BCNN TWSAs in the 70 testing months (April 2014-June 2017 and June 2018-December 2020) and the 11-month gap (July 2017-May 2018).
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