Reference:Reference-023957
From CSDMS
| Author(s) | Bu, Jinwei; Yu, Kegen; Ni, Jun; Huang, Weimin; |
| BibType | journalArticle |
| Title | Combining ERA5 data and CYGNSS observations for the joint retrieval of global significant wave height of ocean swell and wind wave: a deep convolutional neural network approach |
| Editors | |
| Year | 2023-08 |
| Journal | Journal of Geodesy |
| Booktitle | |
| Volume | 97 |
| Pages | |
| URL | https://link.springer.com/10.1007/s00190-023-01768-4 |
| DOI | 10.1007/s00190-023-01768-4 |
| ISBN | |
| Note | Auto downloaded ref at: 2024-08-30
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| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 0 |
| Semantic_ID | 859a63edb2c10e796d5ceef74e59391b3ff060ac |
| Nr of citations | 7 |
| 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: | WAVEWATCH III ^TM
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