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Colloquium
A signal-to-noise paradox in climate science
Jun. 05, 2018, 16:45 - 18:15
CS, IMK-TR0, Geb. 30.23, 13.OG Seminarraum
 

There is mounting evidence that climate model predictions may show higher correlations with observed variability than would be expected from their small signal-to-noise ratios; hence a ‘signal-to-noise paradox’. We show that this surprising behaviour is evident in the Atlantic sector on both seasonal and decadal timescales and for both winter and summer. Important implications for seasonal to decadal prediction, and for simulating climate variability and change, will be discussed.

 
This event is part of the eventgroup Meteorology Colloquium Karlsruhe
Homepage
http://www.imk.kit.edu/88php
Speaker
Dr. Doug Smith

Met Office UK
Organizer
IMK-TRO
Institut für Meteorologie und Klimaforschung (IMK-TRO)
KIT
Wolfgang-Gaede-Str. 1
76131 Karlsruhe
Tel: 0721 608 43356
Mail:doris stenschkeVrg2∂kit edu
http://www.imk-tro.kit.edu
Targetgroup
Scientific Staff


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