Reference:Reference-027945: Difference between revisions
From CSDMS
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|Year=2022-04-26 | |Year=2022-04-26 | ||
|Journal=Hydrological Sciences Journal | |Journal=Hydrological Sciences Journal | ||
|Booktitle= | |Booktitle= | ||
|Volume=67 | |Volume=67 | ||
|Pages=886–897 | |Pages=886–897 | ||
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|PublicationClusterID=0 | |PublicationClusterID=0 | ||
|MS_PublicationClusterID=0 | |MS_PublicationClusterID=0 | ||
|Semantic_ID=4b6b8a4b03f6d4df01eff0a64dab8b55fdd6debf | |Semantic_ID=4b6b8a4b03f6d4df01eff0a64dab8b55fdd6debf |CorpusID=247285042 | ||
|PublicationWhatKindOf=a module application description | |PublicationWhatKindOf=a module application description | ||
|PublicationNrofModels=a single module | |PublicationNrofModels=a single module | ||
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Latest revision as of 15:02, 12 November 2024
Author(s) | Singh, Lakhwinder; Mishra, Prabhash Kumar; Pingale, Santosh Murlidhar; Khare, Deepak; Thakur, Hitesh Prasad; |
BibType | journalArticle |
Title | Streamflow regionalisation of an ungauged catchment with machine learning approaches |
Editors | |
Year | 2022-04-26 |
Journal | Hydrological Sciences Journal |
Booktitle | |
Volume | 67 |
Pages | 886–897 |
URL | https://www.tandfonline.com/doi/full/10.1080/02626667.2022.2049271 |
DOI | 10.1080/02626667.2022.2049271 |
ISBN | |
Note | Auto downloaded ref at: 2024-09-07
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Feature reference | No |
PublicationClusterID | 0 |
MS_PublicationClusterID | 0 |
Semantic_ID | 4b6b8a4b03f6d4df01eff0a64dab8b55fdd6debf |
Nr of citations | 6 |
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: |
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Model(s) discussed: | SWAT
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