Zoeken
Zoeken kan via de modus 'eenvoudig zoeken' (één veld) of uitgebreid via 'geavanceerd zoeken' (meerdere velden). Zo kan je bv. zoeken op een combinatie van een auteursnaam (auteur), een jaartal (jaar) en een documenttype.
Boekenmand
Nuttige resultaten kan je aanvinken en toevoegen aan een mandje. De inhoud hiervan kan je exporteren of afdrukken (naar bv. PDF).
RSS
Op de hoogte blijven van nieuw toegevoegde publicaties binnen uw interessegebied? Dit kan door een RSS-feed (?) te maken van jouw zoekopdracht.
nieuwe zoekopdracht
| one publication added to basket [311384] |
Reemergence of Antarctic sea ice predictability and its link to deep ocean mixing in global climate models
Marchi, S.; Fichefet, T.; Goosse, H.; Zunz, V.; Tietsche, S.; Day, J.J.; Hawkins, E. (2019). Reemergence of Antarctic sea ice predictability and its link to deep ocean mixing in global climate models. Clim. Dyn. 52(5-6): 2775-2797. https://dx.doi.org/10.1007/s00382-018-4292-2
In: Climate Dynamics. Springer: Berlin; Heidelberg. ISSN 0930-7575; e-ISSN 1432-0894
|  |
| Trefwoord |
|
| Author keywords |
Predictability; Sea ice; Southern Ocean; Model intercomparison; Deepconvection |
| Auteurs | | Top |
- Marchi, S.
- Fichefet, T.
- Goosse, H.
- Zunz, V.
|
- Tietsche, S.
- Day, J.J.
- Hawkins, E.
|
|
| Abstract |
Satellite observations show a small overall increase in Antarctic sea ice extent (SIE) over the period 1979-2015. However, this upward trend needs to be balanced against recent pronounced SIE fluctuations occurring there. In the space of 3 years, the SIE sank from its highest value ever reached in September 2014 to record low in February 2017. In this work, a set of six state-of-the-art global climate models is used to evaluate the potential predictability of the Antarctic sea ice at such timescales. This first multi-model study of Antarctic sea ice predictability reveals that the ice edge location can potentially be predicted up to 3 years in advance. However, the ice edge location predictability shows contrasted seasonal performances, with high predictability in winter and no predictability in summer. The reemergence of the predictability from one winter to next is provided by the ocean through its large thermal inertia. Sea surface heat anomalies are stored at depth at the end of the winter and influences the sea ice advance the following year as they resurface. The effectiveness of this mechanism across models is found to depend upon the depth of the mixed layer. One should be very cautious about these potential predictability estimates as there is evidence that the Antarctic sea ice predictability is promoted by deep Southern Ocean convection. We therefore suspect models with excessive convection to show higher sea ice potential predictability results due to an incorrect representation of the Southern Ocean. |
IMIS is ontwikkeld en wordt gehost door het VLIZ.
