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A simple pedagogical model linking initial-value reliability with trustworthiness in the forced climate response

Abstract:

Using a simple pedagogical model, it is shown how information about the statistical reliability of initial-value ensemble forecasts can be relevant in assessing the trustworthiness of the climate system’s response to forcing.

Although the development of seamless prediction systems is becoming increasingly common, there is still confusion regarding the relevance of information from initial-value forecasts for assessing the trustworthiness of the climate system’s response to forcing. A simple system which mimics the real climate system through its regime structure is used to illustrate this potential relevance. The more complex version of this model defines “REALITY” and a simplified version of the system represents the “MODEL”. The MODEL’s response to forcing is profoundly incorrect. However, the untrustworthiness of the MODEL’s response to forcing can be deduced from the MODEL’s initial-value unreliability. The nonlinearity of the system is crucial in accounting for this result.

Publication status:
Published
Peer review status:
Peer reviewed

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Files:
Publisher copy:
10.1175/BAMS-D-16-0240.1

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Physics; Atmos Ocean & Planet Physics
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Atmos Ocean & Planet Physics
Oxford college:
University College
Role:
Author


More from this funder
Funding agency for:
Weisheimer, A
Grant:
607085
More from this funder
Funding agency for:
Palmer, T
Grant:
291406


Publisher:
American Meteorological Society
Journal:
Bulletin of the American Meteorological Society More from this journal
Volume:
March 2018
Pages:
605-614
Publication date:
2017-10-19
DOI:
EISSN:
1520-0477
ISSN:
0003-0007


Pubs id:
pubs:794851
UUID:
uuid:0d516c0d-7871-4bcf-9466-b0ced7677397
Local pid:
pubs:794851
Source identifiers:
794851
Deposit date:
2017-11-22

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