1 row is stored for this page
| Field | Field type | Value |
|---|
| _creationDate | Datetime | 2024-09-08 9:30:40 PM |
| _modificationDate | Datetime | 2024-11-12 9:22:44 PM |
| _pageID | Integer | 123,896 |
| _pageName | Page | Reference:Reference-031978 |
| _pageTitle | String | Reference-031978
|
| _pageNamespace | Integer | 3,020 |
1 row is stored for this page
| Field | Field type | Allowed values | Value |
|---|
| Firstname | String | | Vourlioti, Paraskevi; Kotsopoulos, Stylianos; Mamouka, Theano; Agrafiotis, Apostolos; Nieto, Francisco Javier; Sánchez, Carlos Fernández; Llerena, Cecilia Grela; García González, Sergio; |
| BibType | String | journalArticle · report · bookSection · webpage · conferencePaper · MISC · thesis · blogpost · preprint | journalArticle |
| Title | String | | Maximizing the potential of numerical weather prediction models: lessons learned from combining high-performance computing and cloud computing |
| Editors | String | | |
| Year | Date | | 2023-03-20 |
| Journal | String | | Advances in Science and Research |
| Booktitle | String | | |
| Volume | String | | 20 |
| Pages | String | | 1–8 |
| URL | String | | https://asr.copernicus.org/articles/20/1/2023/ |
| DOI | String | | 10.5194/asr-20-1-2023 |
| ISBN | String | | |
| Note | String | | Auto downloaded ref at: 2024-09-08 |
1 row is stored for this page
| Field | Field type | Value |
|---|
| PublicationMultipleModelsCargo | String | WRF |
1 row is stored for this page
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| HighLightText | String | | |
| HighLightImage | File | | |
| CSDMSGroups | String | Terrestrial Working Group · Coastal Working Group · Marine Working Group · Education and Knowledge Transfer (EKT) Working Group · Cyberinformatics and Numerics Working Group · Hydrology Focus Research Group · Chesapeake Focus Research Group · Critical Zone Focus Research Group · Human Dimensions Focus Research Group · Geodynamics Focus Research Group · Ecosystem Dynamics Focus Research Group · Coastal Vulnerability Initiative · Continental Margin Initiative · Artificial Intelligence & Machine Learning Initiative · Modeling Platform Interoperability Initiative · River Network Modeling Initiative | |
| FeatureRef | String | Yes · No | No |
| PublicationClusterID | String | | 0 |
| MS_PublicationClusterID | String | | 0 |
| Semantic_ID | String | | e573cf2e1f35925d699d1704ce3174bda7f1f1cf |
| PublicationCitationsNr | String | | 1 |
| PublicationWhatKindOf | String | a module overview describing a module · a module application description · module related theory · reference to source code · none of the above | a module application description |
| PublicationNrofModels | String | a single module · coupled modules · multiple modules that are not coupled · none of the above | a single module |
| PublicationHPCCYesno | String | Yes · No | No |
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