Reference:Reference-025730: Difference between revisions

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|PublicationClusterID=0
|PublicationClusterID=0
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|MS_PublicationClusterID=0
|Semantic_ID=4c4803a9a6352d45c701d6aee9cab7392dec7432
|Semantic_ID=4c4803a9a6352d45c701d6aee9cab7392dec7432 |CorpusID=233176915
|CorpusID=233176915
|PublicationWhatKindOf=a module application description
|PublicationWhatKindOf=a module application description
|PublicationNrofModels=a single module
|PublicationNrofModels=a single module

Revision as of 15:37, 6 October 2024



Author(s) Apicella, L.; Puca, S.; Lagasio, M.; Meroni, A. N.; Milelli, M.; Vela, N.; Garbero, V.; Ferraris, L.; Parodi, A.;
BibType journalArticle
Title The predictive capacity of the high resolution weather research and forecasting model: a year-long verification over Italy
Editors
Year 2021-12
Journal Bulletin of Atmospheric Science and Technology
Booktitle None
Volume 2
Pages None
URL https://link.springer.com/10.1007/s42865-021-00032-x
DOI 10.1007/s42865-021-00032-x
ISBN
Note Auto downloaded ref at: 2024-09-04


 
Feature reference No
PublicationClusterID 0
MS_PublicationClusterID 0
Semantic_ID 4c4803a9a6352d45c701d6aee9cab7392dec7432
Nr of citations 1
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