Reference:Reference-022643: Difference between revisions
From CSDMS
m Text replacement - " |CorpusID=" to " |CorpusID=" |
m Text replacement - "None" to "" |
||
| (One intermediate revision by one other user not shown) | |||
| Line 5: | Line 5: | ||
|Year=2023-10 | |Year=2023-10 | ||
|Journal=Water Resources Management | |Journal=Water Resources Management | ||
|Booktitle= | |Booktitle= | ||
|Volume=37 | |Volume=37 | ||
|Pages=5235–5254 | |Pages=5235–5254 | ||
| Line 16: | Line 16: | ||
|PublicationClusterID=0 | |PublicationClusterID=0 | ||
|MS_PublicationClusterID=0 | |MS_PublicationClusterID=0 | ||
|Semantic_ID=1ec7cc9fc56c908757c3e1edca98f8c8081d7585 | |Semantic_ID=1ec7cc9fc56c908757c3e1edca98f8c8081d7585 |CorpusID=261760102 | ||
|CorpusID=261760102 | |||
|PublicationWhatKindOf=a module application description | |PublicationWhatKindOf=a module application description | ||
|PublicationNrofModels=a single module | |PublicationNrofModels=a single module | ||
| Line 26: | Line 25: | ||
}} | }} | ||
{{RefsInt3 | {{RefsInt3 | ||
|PublicationAnimationsCargo= | |PublicationAnimationsCargo= | ||
}} | }} | ||
Latest revision as of 11:48, 12 November 2024
| Author(s) | Karimizadeh, Keivan; Yi, Jaeeung; |
| BibType | journalArticle |
| Title | Modeling Hydrological Responses of Watershed Under Climate Change Scenarios Using Machine Learning Techniques |
| Editors | |
| Year | 2023-10 |
| Journal | Water Resources Management |
| Booktitle | |
| Volume | 37 |
| Pages | 5235–5254 |
| URL | https://link.springer.com/10.1007/s11269-023-03603-z |
| DOI | 10.1007/s11269-023-03603-z |
| ISBN | |
| Note | Auto downloaded ref at: 2024-08-29
|
| |
|
| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 0 |
| Semantic_ID | 1ec7cc9fc56c908757c3e1edca98f8c8081d7585 |
| Nr of citations | 3 |
| 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
|
