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Reliability and skill of CMIP5 multi-model decadal hindcasts

Conference Paper
Publication Date:
2013
abstract:
The reliability of multi-year predictions of climate is assessed using probabilistic Reliability Diagrams for near-surface air temperature, based on 63 member ensembles of initialised and non-initialised decadal hindcasts using the CMIP5 ten-year decadal climate prediction experiments. It is shown that the reliability from the ensemble system is good for most regions studied, for both initialised and non- initialised hindcasts. Over the North Atlantic the reliability and the resolution of the hindcasts show a substantial improvement for initialised predictions, confirming the importance of the initialisation for this region. Initialisition seems to play a (positive) role in other regions as well, however more experiment are necessary to assess if the improvement is significant.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Near-term climate predictions; Predictability; Probabilistic Measures of Skill; Reliability
List of contributors:
Corti, Susanna
Authors of the University:
CORTI SUSANNA
Handle:
https://iris.cnr.it/handle/20.500.14243/225744
Book title:
Climate change and its implications on ecosystem and society - First Annual Conference
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