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Utilising Amazon Web Services to provide an on demand urgent computing facility for climateprediction.net

Abstract:

Climateprediction.net has traditionally been an activity that requires a large amount of computing resources from its volunteer network, whilst allowing a time-frame of weeks to months for simulations to be returned for each project. However, there is an increasing trend of projects requiring results in shorter and shorter timescales. Under no project is this clearer than in the World Weather Attribution (WWA) initiative, where we are aiming to provide in near to real-time an answer to how an...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/eScience.2016.7870927

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Oxford e-Research Centre
Role:
Author
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Institution:
University of Oxford
Division:
SSD
Department:
SOGE
Sub department:
Environmental Change Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Oxford e-Research Centre
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Oxford e-Research Centre
Role:
Author
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Name:
Climate Central
Grant:
World Weather Attribution Project
Publisher:
Institute of Electrical and Electronics Engineers
Host title:
2016 IEEE 12th International Conference on eScience
Journal:
2016 IEEE 12th International Conference on eScience More from this journal
Publication date:
2017-06-03
Acceptance date:
2016-08-18
DOI:
Pubs id:
pubs:656735
UUID:
uuid:a94d54d0-21bc-40b1-84d5-4f722c1e9f32
Local pid:
pubs:656735
Source identifiers:
656735
Deposit date:
2016-11-02

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