Journal article icon

Journal article

A statistical perspective on the signal–to–noise paradox

Abstract:

An anomalous signal-to-noise ratio (also called the signal-to-noise paradox) present in climate models has been widely reported, affecting predictions and projections from seasonal to centennial timescales and encompassing prediction skill from internal processes and external climate forcing. An anomalous signal-to-noise ratio describes a situation where the mean of a forecast ensemble correlates better with the corresponding verification than with its individual ensemble members. This situat...

Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed

Actions


Access Document


Files:
Publisher copy:
10.1002/qj.4440

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Atmos Ocean & Planet Physics
Role:
Author
Publisher:
Wiley
Journal:
Quarterly Journal of the Royal Meteorological Society More from this journal
Volume:
149
Issue:
752
Pages:
911-923
Publication date:
2023-03-23
Acceptance date:
2023-02-10
DOI:
EISSN:
1477-870X
ISSN:
0035-9009
Language:
English
Keywords:
Pubs id:
1328575
Local pid:
pubs:1328575
Deposit date:
2023-02-14

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP