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Bitwise efficiency in chaotic models

Abstract:

Motivated by the increasing energy consumption of supercomputing for weather and climate simulations, we introduce a framework for investigating the bit-level information efficiency of chaotic models. In comparison with previous explorations of inexactness in climate modelling, the proposed and tested information metric has three specific advantages: (i) it requires only a single high-precision time series; (ii) information does not grow indefinitely for decreasing time step; and (iii) inform...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1098/rspa.2017.0144

Authors


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ORCID:
0000-0003-3581-789X
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Institution:
University of Oxford
Division:
MPLS Division
Department:
Physics; Atmos Ocean & Planet Physics
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Institution:
University of Oxford
Division:
MPLS Division
Department:
Physics; Atmos Ocean & Planet Physics
Oxford college:
Jesus College
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Grant:
ESIWACE project Horizon 2020 programme under grant no. 675191
Publisher:
Royal Society Publisher's website
Journal:
Proceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences Journal website
Volume:
473
Issue:
2205
Pages:
Article: 20170144
Publication date:
2017-09-06
Acceptance date:
2017-08-10
DOI:
EISSN:
1471-2946
ISSN:
1364-5021
Pubs id:
pubs:737180
URN:
uri:bbb436e4-a853-4ee0-bc11-b5c81478122d
UUID:
uuid:bbb436e4-a853-4ee0-bc11-b5c81478122d
Local pid:
pubs:737180

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