Reference:Reference-028819: Difference between revisions
From CSDMS
Tag: Undo |
Tag: Undo |
||
| Line 16: | Line 16: | ||
|PublicationClusterID=0 | |PublicationClusterID=0 | ||
|MS_PublicationClusterID=0 | |MS_PublicationClusterID=0 | ||
|Semantic_ID=95c0e29ae707f7d64a4f87c11e3460a7ec058fff | |Semantic_ID=95c0e29ae707f7d64a4f87c11e3460a7ec058fff |CorpusID=260258174 |CorpusID=260258174 | ||
|CorpusID=260258174 | |||
|CorpusID=260258174 | |||
|PublicationWhatKindOf=a module application description | |PublicationWhatKindOf=a module application description | ||
|PublicationNrofModels=a single module | |PublicationNrofModels=a single module | ||
Revision as of 07:44, 6 October 2024
| Author(s) | Gelete, Gebre; Nourani, Vahid; Gokcekus, Huseyin; Gichamo, Tagesse; |
| BibType | journalArticle |
| Title | Physical and artificial intelligence-based hybrid models for rainfall–runoff–sediment process modelling |
| Editors | |
| Year | 2023-10-03 |
| Journal | Hydrological Sciences Journal |
| Booktitle | None |
| Volume | 68 |
| Pages | 1841–1863 |
| URL | https://www.tandfonline.com/doi/full/10.1080/02626667.2023.2241850 |
| DOI | 10.1080/02626667.2023.2241850 |
| ISBN | |
| Note | Auto downloaded ref at: 2024-09-07
|
| |
|
| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 0 |
| Semantic_ID | 95c0e29ae707f7d64a4f87c11e3460a7ec058fff |
| Nr of citations | 1 |
| 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: | SWAT
|
