Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
A physically guided deep learning reconstruction of terrestrial water storage anomalies at 0.1° across China
Saved in:
| Published in: | Earth System Science Data (ESSD) |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
Similar Items: A physically guided deep learning reconstruction of terrestrial water storage anomalies at 0.1° across China
- SYSU TWSA v1.0: global high-resolution terrestrial water storage anomalies via satellite gravimetry
- The Glorious Past and the Ecologically Modern: A Guided Journey through Reconstructions of China in rural Shanxi
- High-resolution global groundwater storage anomalies: A 1 km downscaled dataset
- Driving force analysis of soil quality across China through an explainable deep learning framework
- FDU-BTR: a physics-guided ensemble learning reconstruction of global surface-ocean pCO2 (1982–2024) with uncertainty diagnostics
- PolyU2025 SLA: a global 0.25° × 0.25° monthly sea-level anomaly dataset (1993–2024) determined from satellite altimetry for sea-level and climate change research
