1 row is stored for this page
| Field | Field type | Value |
|---|
| _creationDate | Datetime | 2024-08-29 9:20:28 PM |
| _modificationDate | Datetime | 2024-11-12 5:45:21 PM |
| _pageID | Integer | 103,904 |
| _pageName | Page | Reference:Reference-022222 |
| _pageTitle | String | Reference-022222
|
| _pageNamespace | Integer | 3,020 |
1 row is stored for this page
| Field | Field type | Allowed values | Value |
|---|
| Firstname | String | | Sun, He; Yao, Tandong; Su, Fengge; He, Zhihua; Tang, Guoqiang; Li, Ning; Zheng, Bowen; Huang, Jingheng; Meng, Fanchong; Ou, Tinghai; Chen, Deliang; |
| BibType | String | journalArticle · report · bookSection · webpage · conferencePaper · MISC · thesis · blogpost · preprint | journalArticle |
| Title | String | | Corrected ERA5 Precipitation by Machine Learning Significantly Improved Flow Simulations for the Third Pole Basins |
| Editors | String | | |
| Year | Date | | October 2022 |
| Journal | String | | Journal of Hydrometeorology |
| Booktitle | String | | |
| Volume | String | | 23 |
| Pages | String | | 1663–1679 |
| URL | String | | https://journals.ametsoc.org/view/journals/hydr/23/10/JHM-D-22-0015.1.xml |
| DOI | String | | 10.1175/JHM-D-22-0015.1 |
| ISBN | String | | |
| Note | String | | Auto downloaded ref at: 2024-08-29 |
1 row is stored for this page
| Field | Field type | Value |
|---|
| PublicationMultipleModelsCargo | String | VIC |
1 row is stored for this page
| Field | Field type | Allowed values | Value |
|---|
| GroupSitesHighlight | String | Yes · No | |
| 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 | | a9584f6acb2cba06ccd2767d76a1a75deaf939f7 |
| PublicationCitationsNr | String | | 4 |
| 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 |
| PublicationHPCCprojectCargo | String | | |
| PublicationAnimationsCargo | String | | |
