Reference:Reference-010605
From CSDMS
Publication information
| Author(s) | Fan, Shuntao; Xiao, Nianhao; Dong, Sheng; |
| BibType | journalArticle |
| Title | A novel model to predict significant wave height based on long short-term memory network |
| Year | 2020-06-01 |
| Journal | Ocean Engineering |
| Volume | 205 |
| Pages | 107298 |
| URL | https://linkinghub.elsevier.com/retrieve/pii/S0029801820303401 |
| DOI | 10.1016/j.oceaneng.2020.107298 |
| Note | Auto downloaded ref at: 2020-06-27 |
Open Access
| Icon | Status | Best URL | Best PDF URL | License | Version | Last checked |
|---|---|---|---|---|---|---|
| closed | 2026-08-31 |
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| Highlighted paper on group site | No | |
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| Feature reference | No | |
| Semantic_ID | 1bf6758dc69d81f26dbd2b334f8613bccee60c27 | |
| Nr of citations | 292 | |
| 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: | SWAN |
