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Reliability of Decadal Predictions

Abstract
Data di Pubblicazione:
2013
Abstract:
The reliability of multi-year predictions of climate is assessed using probabilistic Attributes Diagrams for near-surface air temperature and sea surface temperature, based on 54 member ensembles of initialised decadal hindcasts using the ECMWF coupled model. It is shown that the reliability from the ensemble system is good over global land areas, Europe and Africa and for the North Atlantic, Indian Ocean and, to a lesser extent, North Pacific basins for lead times up to 6-9 years. North Atlantic SSTs are reliably predicted even when the climate trend is removed, consistent with the known predictability for this region. By contrast, reliability in the Indian Ocean, where external forcing accounts for most of the variability, deteriorates severely after detrending. The results from ECMWF decadal hindcasts are compared with a multi-model ensemble from the CMIP5 dataset.
Tipologia CRIS:
04.02 Abstract in Atti di convegno
Keywords:
Decadal predictions; ensemble simulations; forecast quality; reliability
Elenco autori:
Corti, Susanna
Autori di Ateneo:
CORTI SUSANNA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/226422
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