Reference:Reference-025730: Difference between revisions

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|Year=2021-12
|Year=2021-12
|Journal=Bulletin of Atmospheric Science and Technology
|Journal=Bulletin of Atmospheric Science and Technology
|Booktitle=None
|Booktitle=
|Volume=2
|Volume=2
|Pages=None
|Pages=
|URL=https://link.springer.com/10.1007/s42865-021-00032-x
|URL=https://link.springer.com/10.1007/s42865-021-00032-x
|DOI=10.1007/s42865-021-00032-x
|DOI=10.1007/s42865-021-00032-x
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Latest revision as of 14:51, 12 November 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
Volume 2
Pages
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