Reference:Reference-034814
From CSDMS
Publication information
| Author(s) | Kim, Young Woo; Cha, YoonKyung; Shin, Jihoon; |
| BibType | journalArticle |
| Title | A modular deep learning surrogate model for simulating harmful algal blooms in complex process-based systems |
| Year | 2025-10 |
| Journal | Water Research |
| Volume | 285 |
| Pages | 124059 |
| URL | https://linkinghub.elsevier.com/retrieve/pii/S0043135425009674 |
| DOI | 10.1016/j.watres.2025.124059 |
| Note | Auto downloaded ref at: 2026-06-11 |
Open Access
| Icon | Status | Best URL | Best PDF URL | License | Version | Last checked |
|---|---|---|---|---|---|---|
| closed | 2026-10-15 |
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| Feature reference | No | |
| Semantic_ID | 9d9419648f171e51dc36c1385dde012ae49c8551 | |
| Nr of citations | 5 | |
| 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: | Delft3D
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