RM-REC

Graph Neural Networks Reconstruct Historical Water Storage Data

Researchers have developed a novel approach using spatio-temporal graph neural networks (MTGNN) to reconstruct historical terrestrial water storage (TWS) data. This deep learning model learns from meteorological forcing…