North Atlantic subpolar gyre provides downstream ocean predictability

被引:1
|
作者
Fan, Hongdou [1 ,2 ]
Borchert, Leonard F. [1 ]
Brune, Sebastian [1 ]
Koul, Vimal [1 ,3 ]
Baehr, Johanna [1 ]
机构
[1] Univ Hamburg, Ctr Earth Syst Res & Sustainabil, Hamburg, Germany
[2] Max Planck Inst Meteorol, Int Max Planck Res Sch Earth Syst Modelling, Hamburg, Germany
[3] Princeton Univ, Cooperat Inst Modeling Earth Syst, Princeton, NJ USA
关键词
SEA-SURFACE TEMPERATURE; ASSIMILATION; ANOMALIES; MODEL; HEAT;
D O I
10.1038/s41612-023-00469-1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Slowly varying large-scale ocean circulation can provide climate predictability on decadal time scales. It has been hypothesized that the North Atlantic subpolar gyre (SPG) exerts substantial influence on climate predictability. However, a clear identification of the downstream impact of SPG variations is still lacking. Using the MPI-ESM-LR1.2 decadal prediction system, we show that along the Atlantic water pathway, a dynamical link to the SPG causes salinity to be considerably better predicted than temperature. By modulating the slow northward ocean propagation, the subsurface memory of SPG variations enables salinity to be skillfully predicted up to 8 years ahead. In contrast, the SPG loses influence on temperature before Atlantic water penetrates into the Nordic Seas, and in turn, limits temperature to be predicted only 2 years ahead. This study identifies the key role of SPG signals in downstream prediction and highlights how SPG signals determine prediction time scales for different quantities, opening the door for investigating potentially associated predictions in the subarctic for the earth system, marine ecosystems in particular.
引用
收藏
页数:8
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