Reference:Reference-026517: Difference between revisions
From CSDMS
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|Year=2023-01-06 | |Year=2023-01-06 | ||
|Journal=Geoscientific Model Development | |Journal=Geoscientific Model Development | ||
|Booktitle= | |Booktitle= | ||
|Volume=16 | |Volume=16 | ||
|Pages=199–209 | |Pages=199–209 | ||
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|PublicationClusterID=0 | |PublicationClusterID=0 | ||
|MS_PublicationClusterID=0 | |MS_PublicationClusterID=0 | ||
|Semantic_ID=699f93fbb6018be7a16336c08ff66579af2bdcc1 | |Semantic_ID=699f93fbb6018be7a16336c08ff66579af2bdcc1 |CorpusID=255736130 | ||
|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 14:57, 12 November 2024
Author(s) | Zhong, Xiaohui; Ma, Zhijian; Yao, Yichen; Xu, Lifei; Wu, Yuan; Wang, Zhibin; |
BibType | journalArticle |
Title | WRF–ML v1.0: a bridge between WRF v4.3 and machine learning parameterizations and its application to atmospheric radiative transfer |
Editors | |
Year | 2023-01-06 |
Journal | Geoscientific Model Development |
Booktitle | |
Volume | 16 |
Pages | 199–209 |
URL | https://gmd.copernicus.org/articles/16/199/2023/ |
DOI | 10.5194/gmd-16-199-2023 |
ISBN | |
Note | Auto downloaded ref at: 2024-09-05
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Feature reference | No |
PublicationClusterID | 0 |
MS_PublicationClusterID | 0 |
Semantic_ID | 699f93fbb6018be7a16336c08ff66579af2bdcc1 |
Nr of citations | 13 |
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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