A Multi‐Resolution Deep‐Learning Surrogate Framework for Global Hydrological Models
Abstract Global hydrological models are important decision support tools for policy making in today's water‐scarce world as their process‐based nature allows for worldwide water resources assessments under various climate‐change and socio‐economic scenarios. Although efforts are continuously be...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-04-01
|
| Series: | Water Resources Research |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2024WR037736 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
