학술논문
Bayesian convolutional neural networks for predicting the terrestrial water storage anomalies during GRACE and GRACE-FO gap
Document Type
Article
Author
Source
In: Journal of Hydrology . (Journal of Hydrology, January 2022, 604)
Subject
Language
English
ISSN
00221694