Reference:Reference-020250: Difference between revisions

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|Title=Deep learning-based effective fine-grained weather forecasting model
|Year=2021-02
|Journal=Pattern Analysis and Applications
|Booktitle=None
|Volume=24
|Pages=343–366
|URL=https://link.springer.com/10.1007/s10044-020-00898-1
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Revision as of 13:51, 7 October 2022



Author(s) Hewage, Pradeep; Trovati, Marcello; Pereira, Ella; Behera, Ardhendu;
BibType journalArticle
Title Deep learning-based effective fine-grained weather forecasting model
Editors
Year 2021-02
Journal Pattern Analysis and Applications
Booktitle None
Volume 24
Pages 343–366
URL https://link.springer.com/10.1007/s10044-020-00898-1
DOI 10.1007/s10044-020-00898-1
ISBN
Note Auto downloaded ref at: 2022-10-06


 
Feature reference No
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MS_PublicationClusterID 0
Semantic_ID 748c9f88b8e86b493c0c9b2fca760db12c10ba20
Nr of citations 123
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