A Physics-Informed Dual-Stream Architecture for Spatiotemporal Downscaling of GRACE/GRACE-FO to Daily Resolution
A physics-informed Dual-Stream Deep Learning architecture that synchronously trains a monthly physics-constrained estimator by enforcing strict mass conservation via a global mass budget projection and a daily probabilistic estimator that models conditional predictive distributions using a Student-t likelihood to accom...