North Atlantic climate model bias influence on multiyear predictability

• Published in: Earth and Planetary Science Letters
• Main Authors: Wu, Yanling, Park, Taewook, Park, Wonsun, Latif, Mojib
• Format: Article in Journal/Newspaper
• Language: English
• Published: Elsevier 2018
• Subjects: North Atlantic
• Online Access: https://oceanrep.geomar.de/id/eprint/40275/; https://oceanrep.geomar.de/id/eprint/40275/1/1-s2.0-S0012821X1730571X-main.pdf; https://oceanrep.geomar.de/id/eprint/40275/2/1-s2.0-S0012821X1730571X-mmc1.doc; https://doi.org/10.1016/j.epsl.2017.10.012

The influences of North Atlantic biases on multiyear predictability of unforced surface air temperature (SAT) variability are examined in the Kiel Climate Model (KCM). By employing a freshwater flux correction over the North Atlantic to the model, which strongly alleviates both North Atlantic sea surface salinity (SSS) and sea surface temperature (SST) biases, the freshwater flux-corrected integration depicts significantly enhanced multiyear SAT predictability in the North Atlantic sector in comparison to the uncorrected one. The enhanced SAT predictability in the corrected integration is due to a stronger and more variable Atlantic Meridional Overturning Circulation (AMOC) and its enhanced influence on North Atlantic SST. Results obtained from preindustrial control integrations of models participating in the Coupled Model Intercomparison Project Phase 5 (CMIP5) support the findings obtained from the KCM: models with large North Atlantic biases tend to have a weak AMOC influence on SAT and exhibit a smaller SAT predictability over the North Atlantic sector.