IMIS | Flanders Marine Institute
 

Flanders Marine Institute

Platform for marine research

IMIS

Publications | Institutes | Persons | Datasets | Projects | Maps
[ report an error in this record ]basket (1): add | show Print this page

one publication added to basket [296644]
Role of subsurface ocean in decadal climate predictability over the South Atlantic
Morioka, Y.; Doi, T.; Storto, A.; Masina, S.; Behera, S.K. (2018). Role of subsurface ocean in decadal climate predictability over the South Atlantic. NPG Scientific Reports 8(1): 12 pp. https://hdl.handle.net/10.1038/s41598-018-26899-z
In: Scientific Reports (Nature Publishing Group). Nature Publishing Group: London. ISSN 2045-2322; e-ISSN 2045-2322, more
Peer reviewed article  

Available in  Authors 

Authors  Top 
  • Morioka, Y.
  • Doi, T.
  • Storto, A.
  • Masina, S.
  • Behera, S.K.

Abstract
    Decadal climate predictability in the South Atlantic is explored by performing reforecast experiments using a coupled general circulation model with two initialization schemes; one is assimilated with observed sea surface temperature (SST) only, and the other is additionally assimilated with observed subsurface ocean temperature and salinity. The South Atlantic is known to undergo decadal variability exhibiting a meridional dipole of SST anomalies through variations in the subtropical high and ocean heat transport. Decadal reforecast experiments in which only the model SST is initialized with the observation do not predict well the observed decadal SST variability in the South Atlantic, while the other experiments in which the model SST and subsurface ocean are initialized with the observation skillfully predict the observed decadal SST variability, particularly in the Southeast Atlantic. In-depth analysis of upper-ocean heat content reveals that a significant improvement of zonal heat transport in the Southeast Atlantic leads to skillful prediction of decadal SST variability there. These results demonstrate potential roles of subsurface ocean assimilation in the skillful prediction of decadal climate variability over the South Atlantic.

All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy Top | Authors