Reference:Reference-026517: Difference between revisions

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|Semantic_ID=699f93fbb6018be7a16336c08ff66579af2bdcc1
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|PublicationWhatKindOf=a module application description
|PublicationWhatKindOf=a module application description
|PublicationNrofModels=a single module
|PublicationNrofModels=a single module

Revision as of 15:43, 6 October 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 None
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


 
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:


Model(s) discussed: WRF