Reference:Reference-036602
From CSDMS
Publication information
| Author(s) | Droppers, B.; Bierkens, M. F. P.; Wanders, N.; |
| BibType | journalArticle |
| Title | A Multi‐Resolution Deep‐Learning Surrogate Framework for Global Hydrological Models |
| Year | 2025-04 |
| Journal | Water Resources Research |
| Volume | 61 |
| URL | https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2024WR037736 |
| DOI | 10.1029/2024WR037736 |
| Note | Auto downloaded ref at: 2026-06-11 |
Open Access
| Icon | Status | Best URL | Best PDF URL | License | Version | Last checked |
|---|---|---|---|---|---|---|
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gold | cc-by | publishedVersion | 2026-08-31 |
Download locations
| URL | Host | License | Version | |
|---|---|---|---|---|
| link | repository | cc-by-sa | submittedVersion | |
| link | publisher | cc-by | publishedVersion |
Additional information
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| Highlighted paper on group site | ||
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| Feature reference | No | |
| Semantic_ID | 0995ffd4402de313f1879ed49b02a4295fe6dfda | |
| Nr of citations | 8 | |
| Sort of publication | a module application description | |
| Sort of model publication | a single module | |
| Is the CSDMS HPC used | No | |
| If HPC is used, for what project was it?: | ||
| Associated simulation movie if any: |
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| Model(s) discussed: | PCR-GLOBWB
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