Reference:Reference-006469
From CSDMS
| Author(s) | Mudunkotuwa, Dulini Yasara; De Silva, Liyanarachchi Waruna Arampath; Yamaguchi, Hajime; |
| BibType | conferencePaper |
| Title | Kalman filter based data assimilation system to improve numerical sea ice predictions in the Arctic Ocean |
| Editors | |
| Year | 2019-06-01 |
| Journal | |
| Booktitle | |
| Volume | |
| Pages | 1–5 |
| URL | https://ieeexplore.ieee.org/document/8867109/ |
| DOI | 10.1109/OCEANSE.2019.8867109 |
| ISBN | |
| Note | Auto downloaded ref at: 2020-06-22
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| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 2979664404 |
| Semantic_ID | 0de268da28f6bc523aae7351f05a32b4873a0c48 |
| Nr of citations | 0 |
| 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: | Princeton Ocean Model (POM) |
