6 citations · 8 across the 4 of their papers we have counts for
5 papers
Toward Enhanced Water Detection in SWOT Pixel Clouds using Dynamic Graph Neural Networks
Christoph Baumann, Junyang Gou, Christian Schwatke +3
The Surface Water and Ocean Topography (SWOT) mission offers unprecedented freshwater monitoring capabilities through its innovative wide-swath measurement system, which generates…
D-SHIFT: Transferring High Spatial Information from GRACE Monthly TWSA Mascon to Daily Products Using Generative Adversarial Networks
Andreas Dombos, Junyang Gou, Benedikt Soja
The Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On missions provide monthly terrestrial water storage anomaly (TWSA) estimates for monitoring large-scale water…
CIDR interpolation: an enhanced SSA-based temporal filling framework for restoring continuity in downscaled GRACE(-FO) TWSA products
Yu Gao, Wenyuan Zhang, Junyang Gou +3
Global total water storage anomaly (TWSA) products derived from the Gravity Recovery and Climate Experiment (GRACE) and its Follow-On mission (GRACE-FO) are critical for hydrologic…
Uncertainties of Satellite-based Essential Climate Variables from Deep Learning
Junyang Gou, Arnt-Børre Salberg, Mostafa Kiani Shahvandi +9
Accurate uncertainty information associated with essential climate variables (ECVs) is crucial for reliable climate modeling and understanding the spatiotemporal evolution of the E…
Downscaling GRACE-derived ocean bottom pressure anomalies using self-supervised data fusion
Junyang Gou, Lara Börger, Michael Schindelegger +1
The gravimetry measurements from the Gravity Recovery and Climate Experiment (GRACE) and its follow-on (GRACE-FO) satellite mission provide an essential way to monitor changes in o…