Experiences with distributed computing for meteorological applications: grid computing and cloud computing

Oesterle, F.; Ostermann, S.; Prodan, R.; Mayr, G. J.

doi:https://doi.org/10.5194/gmd-8-2067-2015

Articles | Volume 8, issue 7

https://doi.org/10.5194/gmd-8-2067-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gmd-8-2067-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 8, issue 7

Development and technical paper

|

13 Jul 2015

Development and technical paper |

| 13 Jul 2015

Experiences with distributed computing for meteorological applications: grid computing and cloud computing

F. Oesterle, S. Ostermann, R. Prodan, and G. J. Mayr

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Final revised paper (published on 13 Jul 2015)
Preprint (discussion started on 10 Feb 2015)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC C475: 'First revision of Experiences with Distributed Computing for Meteorological Applications: Grid Computing and Cloud Computing', Anonymous Referee #1, 16 Apr 2015
- AC C876: 'Response to Review C475', Felix Schueller, 27 May 2015
RC C584: 'Referee comment', Anonymous Referee #2, 30 Apr 2015
- AC C881: 'Response to Review C584', Felix Schueller, 27 May 2015

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Felix Oesterle on behalf of the Authors (27 May 2015) Author's response Manuscript

ED: Publish subject to minor revisions (Editor review) (09 Jun 2015) by Simon Unterstrasser

AR by Anna Wenzel on behalf of the Authors (19 Jun 2015) Author's response Manuscript

ED: Publish as is (29 Jun 2015) by Simon Unterstrasser

Short summary

Three practical meteorological applications with different characteristics highlight the core computer science aspects and applicability of distributed computing to meteorology. Presenting cloud and grid computing this paper shows use case scenarios fitting a wide range of meteorological applications from operational to research studies. The paper concludes that distributed computing complements and extends existing high performance computing concepts.