Reference:Reference-023064: Difference between revisions

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|Firstname=Zhang, Jianbin; Gao, Zhiqiu; Li, Yubin;
|BibType=journalArticle
|Title=Deep-Learning Correction Methods for Weather Research and Forecasting (WRF) Model Precipitation Forecasting: A Case Study over Zhengzhou, China
|Year=2024-05-24
|Journal=Atmosphere
|Booktitle=None
|Volume=15
|Pages=631
|URL=https://www.mdpi.com/2073-4433/15/6/631
|DOI=10.3390/atmos15060631
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Revision as of 17:49, 30 August 2024



Author(s) Zhang, Jianbin; Gao, Zhiqiu; Li, Yubin;
BibType journalArticle
Title Deep-Learning Correction Methods for Weather Research and Forecasting (WRF) Model Precipitation Forecasting: A Case Study over Zhengzhou, China
Editors
Year 2024-05-24
Journal Atmosphere
Booktitle None
Volume 15
Pages 631
URL https://www.mdpi.com/2073-4433/15/6/631
DOI 10.3390/atmos15060631
ISBN
Note Auto downloaded ref at: 2024-08-30


 
Feature reference No
PublicationClusterID 0
MS_PublicationClusterID 0
Semantic_ID 08f790b88c70d234a68ee34b5460500d36081f42
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:


Model(s) discussed: WRF