Publications des scientifiques de l'IRD

Menary M. B., Mignot Juliette, Robson J. (2021). Skilful decadal predictions of subpolar North Atlantic SSTs using CMIP model-analogues. Environmental Research Letters, 16 (6), 064090 [10 p.]. ISSN 1748-9326.

Titre du document
Skilful decadal predictions of subpolar North Atlantic SSTs using CMIP model-analogues
Année de publication
2021
Type de document
Article référencé dans le Web of Science WOS:000662040900001
Auteurs
Menary M. B., Mignot Juliette, Robson J.
Source
Environmental Research Letters, 2021, 16 (6), 064090 [10 p.] ISSN 1748-9326
Predicting regional climate variability is a key goal of initialised decadal predictions and the North Atlantic has been a major focus due to its high level of predictability and potential impact on European climate. These predictions often focus on decadal variability in sea surface temperatures (SSTs) in the North Atlantic subpolar gyre (NA SPG). In order to understand the value of initialisation, and justify the high costs of such systems, predictions are routinely measured against technologically simpler benchmarks. Here, we present a new model-analogue benchmark that aims to leverage the latent information in uninitialised climate model simulations to make decadal predictions of NA SPG SSTs. This system searches through more than one hundred thousand simulated years in Coupled Model Intercomparison Project archives and yields skilful predictions in its target region comparable to initialised systems. Analysis of the underlying behaviour of the system suggests the origins of this skill are physically plausible. Such a system can provide a useful benchmark for initialised systems within the NA SPG and also suggests that the limits in initialised decadal prediction skill in this region have not yet been reached.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020] ; Sciences du milieu [021] ; Limnologie physique / Océanographie physique [032]
Description Géographique
ATLANTIQUE
Localisation
Fonds IRD [F B010082134]
Identifiant IRD
fdi:010082134
Contact