Reference:Reference-025415: Difference between revisions
From CSDMS
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|Year=2023-06 | |Year=2023-06 | ||
|Journal=Water Environment Research | |Journal=Water Environment Research | ||
|Booktitle= | |Booktitle= | ||
|Volume=95 | |Volume=95 | ||
|Pages= | |Pages= | ||
|URL=https://onlinelibrary.wiley.com/doi/10.1002/wer.10880 | |URL=https://onlinelibrary.wiley.com/doi/10.1002/wer.10880 | ||
|DOI=10.1002/wer.10880 | |DOI=10.1002/wer.10880 | ||
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|MS_PublicationClusterID=0 | |MS_PublicationClusterID=0 | ||
|Semantic_ID=3e1ced10786d90d81b8d714b8727c247610b362f | |Semantic_ID=3e1ced10786d90d81b8d714b8727c247610b362f |CorpusID=258786506 | ||
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|PublicationWhatKindOf=a module application description | |PublicationWhatKindOf=a module application description | ||
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Latest revision as of 14:52, 12 November 2024
Author(s) | Bilyk, Katya; Roostaei, Javad; Bailey, Erika; |
BibType | journalArticle |
Title | Development and performance of a machine learning‐based tool that predicts influent flow to a WRF 72 h in advance and integrates with existing wet weather nutrient management protocols |
Editors | |
Year | 2023-06 |
Journal | Water Environment Research |
Booktitle | |
Volume | 95 |
Pages | |
URL | https://onlinelibrary.wiley.com/doi/10.1002/wer.10880 |
DOI | 10.1002/wer.10880 |
ISBN | |
Note | Auto downloaded ref at: 2024-09-04
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Feature reference | No |
PublicationClusterID | 0 |
MS_PublicationClusterID | 0 |
Semantic_ID | 3e1ced10786d90d81b8d714b8727c247610b362f |
Nr of citations | 0 |
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: | WRF
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