Reference:Reference-020421: Difference between revisions
From CSDMS
Created page with "{{CSDMS reference template cargo |DOIentry=10.5194/ascmo-8-83-2022 }} {{RefsInt1 |FeatureRef=No |PublicationClusterID=0 |MS_PublicationClusterID=0 |Semantic_ID=ffc6d28d899bdde1c9a4c5f96fd5fb0161ca37dc |PublicationWhatKindOf=a module application description |PublicationHPCCYesno=No |PublicationNrofModels=a single module }} {{RefsInt2 |PublicationMultipleModelsCargo=WAVEWATCH III ^TM }} {{RefsInt3}}" |
m Text replacement - "None" to "" |
||
| (2 intermediate revisions by 2 users not shown) | |||
| Line 1: | Line 1: | ||
{{ | {{BibEntryCargo | ||
| | |Firstname=Michel, Marceau; Obakrim, Said; Raillard, Nicolas; Ailliot, Pierre; Monbet, Valérie; | ||
|BibType=journalArticle | |||
|Title=Deep learning for statistical downscaling of sea states | |||
|Year=2022-04-07 | |||
|Journal=Advances in Statistical Climatology, Meteorology and Oceanography | |||
|Booktitle= | |||
|Volume=8 | |||
|Pages=83–95 | |||
|URL=https://ascmo.copernicus.org/articles/8/83/2022/ | |||
|DOI=10.5194/ascmo-8-83-2022 | |||
|Note=Auto downloaded ref at: 2022-10-06 | |||
}} | }} | ||
{{RefsInt1 | {{RefsInt1 | ||
| Line 7: | Line 17: | ||
|MS_PublicationClusterID=0 | |MS_PublicationClusterID=0 | ||
|Semantic_ID=ffc6d28d899bdde1c9a4c5f96fd5fb0161ca37dc | |Semantic_ID=ffc6d28d899bdde1c9a4c5f96fd5fb0161ca37dc | ||
|CorpusID=0 | |||
|PublicationWhatKindOf=a module application description | |PublicationWhatKindOf=a module application description | ||
|PublicationNrofModels=a single module | |||
|PublicationHPCCYesno=No | |PublicationHPCCYesno=No | ||
}} | }} | ||
{{RefsInt2 | {{RefsInt2 | ||
|PublicationMultipleModelsCargo=WAVEWATCH III ^TM | |PublicationMultipleModelsCargo=WAVEWATCH III ^TM | ||
}} | }} | ||
{{RefsInt3}} | {{RefsInt3 | ||
|PublicationAnimationsCargo= | |||
}} | |||
{{RefsInt3 | |||
|PublicationAnimationsCargo= | |||
}} | |||
Latest revision as of 11:39, 12 November 2024
| Author(s) | Michel, Marceau; Obakrim, Said; Raillard, Nicolas; Ailliot, Pierre; Monbet, Valérie; |
| BibType | journalArticle |
| Title | Deep learning for statistical downscaling of sea states |
| Editors | |
| Year | 2022-04-07 |
| Journal | Advances in Statistical Climatology, Meteorology and Oceanography |
| Booktitle | |
| Volume | 8 |
| Pages | 83–95 |
| URL | https://ascmo.copernicus.org/articles/8/83/2022/ |
| DOI | 10.5194/ascmo-8-83-2022 |
| ISBN | |
| Note | Auto downloaded ref at: 2022-10-06
|
| |
|
| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 0 |
| Semantic_ID | ffc6d28d899bdde1c9a4c5f96fd5fb0161ca37dc |
| 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: |
|
| Model(s) discussed: | WAVEWATCH III ^TM
|
