@COMMENT This file was generated by bib2html_grace.pl version 0.94
@COMMENT written by Patrick Riley
@COMMENT This file was prepared using the NASA Astrophysics Data System (ADS)
@COMMENT https://ui.adsabs.harvard.edu/
@ARTICLE{2022JHyd..60427244M,
author = {{Mo}, Shaoxing and {Zhong}, Yulong and {Forootan}, Ehsan and {Mehrnegar}, Nooshin and {Yin}, Xin and {Wu}, Jichun and {Feng}, Wei and {Shi}, Xiaoqing},
title = "{Bayesian convolutional neural networks for predicting the terrestrial water storage anomalies during GRACE and GRACE-FO gap}",
journal = {Journal of Hydrology},
keywords = {GRACE, Bayesian convolutional neural network, Gap filling, ERA5, Deep learning},
year = 2022,
month = jan,
volume = {604},
eid = {127244},
pages = {127244},
doi = {10.1016/j.jhydrol.2021.127244},
adsurl = {https://ui.adsabs.harvard.edu/abs/2022JHyd..60427244M},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}