Bayesian convolutional neural networks for predicting the terrestrial water storage anomalies during GRACE and GRACE-FO gap
Shaoxing Mo, Yulong Zhong, Ehsan Forootan, Nooshin Mehrnegar, Xin Yin, Jichun Wu, Wei Feng, Xiaoqing Shi
Topics & Concepts
Bridging (networking)Convolutional neural networkBayesian probabilityBayesian networkScale (ratio)Environmental scienceWater storageComputer scienceArtificial intelligenceGeologyOceanographyCartographyGeographyInletComputer networkGeophysics and Gravity MeasurementsGNSS positioning and interferenceSolar and Space Plasma Dynamics