Publications des scientifiques de l'IRD

Mangolte Ines, Cravatte Sophie, Ganachaud Alexandre, Menkès Christophe. (2026). Investigating the predictability of marine heatwaves at subseasonal to seasonal timescales in New Caledonia, South Pacific. Ocean Science, 22 (3), p. 1937-1964. ISSN 1812-0784.

Titre du document
Investigating the predictability of marine heatwaves at subseasonal to seasonal timescales in New Caledonia, South Pacific
Année de publication
2026
Type de document
Article référencé dans le Web of Science WOS:001799237900001
Auteurs
Mangolte Ines, Cravatte Sophie, Ganachaud Alexandre, Menkès Christophe
Source
Ocean Science, 2026, 22 (3), p. 1937-1964 ISSN 1812-0784
Marine Heatwaves (MHWs) have emerged as one of the most important threat for marine ecosystems, with impacts such as coral bleaching, massive fish mortality and displacement of mobile fauna. In the context of climate change, it is urgent to develop strategies such as subseasonal to seasonal forecasting to help human societies adapt and react to the increasing frequency, duration and intensity of these events. Here we evaluate the predictability of MHWs at the scale of a South Pacific island country, New Caledonia, using ensemble forecasts from a dynamical coupled ocean-atmosphere model. We show that implementing a probabilistic approach where we extract information from the dispersion in the ensemble results in a higher skill than a deterministic approach where we simply compute the ensemble average. We find that longer, more intense, and wider MHWs, are more predictable than weaker, less intense, and shorter MHWs. We also find that the longest and widest MHWs occur in the cold season (June-October) during strong La Ni & ntilde;a episodes, and that they can successfully be predicted up to 7 months in advance. In contrast, MHWs occurring during the warm season have poor or no predictability of more than a few weeks in advance. We discuss how this information can be efficiently transferred to marine stakeholders in terms of the usefulness and useability of the forecast. We recommend that future research should focus on identifying the drivers of different types of MHWs in order to understand their sources of predictability.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020] ; Sciences du milieu [021] ; Limnologie physique / Océanographie physique [032]
Description Géographique
NOUVELLE CALEDONIE ; PACIFIQUE ; PACIFIQUE SUD
Localisation
Fonds IRD [F B010097469]
Identifiant IRD
fdi:010097469
Contact
  • Coordonnées :
    Mission Science Ouverte (MSO)
    IRD - Délégation régionale Île-de-France & Ouest
    Campus Condorcet - Hôtel à projets
    8 cours des Humanités - 93322 Aubervilliers Cedex
    Horizon Pleins textes
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