Reference:Reference-031978: Difference between revisions

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|BibType=journalArticle
|Title=Maximizing the potential of numerical weather prediction models: lessons learned from combining high-performance computing and cloud computing
|Year=2023-03-20
|Journal=Advances in Science and Research
|Booktitle=None
|Volume=20
|Pages=1–8
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|DOI=10.5194/asr-20-1-2023
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Revision as of 09:38, 9 September 2024



Author(s) Vourlioti, Paraskevi; Kotsopoulos, Stylianos; Mamouka, Theano; Agrafiotis, Apostolos; Nieto, Francisco Javier; Sánchez, Carlos Fernández; Llerena, Cecilia Grela; García González, Sergio;
BibType journalArticle
Title Maximizing the potential of numerical weather prediction models: lessons learned from combining high-performance computing and cloud computing
Editors
Year 2023-03-20
Journal Advances in Science and Research
Booktitle None
Volume 20
Pages 1–8
URL https://asr.copernicus.org/articles/20/1/2023/
DOI 10.5194/asr-20-1-2023
ISBN
Note Auto downloaded ref at: 2024-09-08


 
Feature reference No
PublicationClusterID 0
MS_PublicationClusterID 0
Semantic_ID e573cf2e1f35925d699d1704ce3174bda7f1f1cf
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