decadal variability

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Decadal variability Decadal variability Qiu and Chen, 2005 KE is characterized by the presence of two quasi-stationary meanders at 144° and 155°E Up and downstream jets

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Decadal variability. Up and downstream jets. Qiu and Chen, 2005. KE is characterized by the presence of two quasi-stationary meanders at 144 ° and 155 ° E. Decadal variability. Qiu and Chen, 2005. - PowerPoint PPT Presentation

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Page 1: Decadal variability

Decadal variabilityDecadal variability

Qiu and Chen, 2005

KE is characterized by the presence of two quasi-stationary meanders at 144° and 155°E

Up and downstream jets

Page 2: Decadal variability

Decadal variabilityDecadal variability

Qiu and Chen, 2005

Can the observed decadal variability be explained by the forcing of the large-scale wind stress field?

Page 3: Decadal variability

Decadal variabilityDecadal variability

• 1 ½ layer reduced gravity model for the ocean response to surface wind forcing

Page 4: Decadal variability

Data from OFESData from OFES

Page 5: Decadal variability

SSH EOF’s 1 & 2SSH EOF’s 1 & 2

OFES

ROMS

Page 6: Decadal variability

SSH PCs 1 & 2 from OFESSSH PCs 1 & 2 from OFES

Page 7: Decadal variability

Regression maps SSHRegression maps SSH

Page 8: Decadal variability

Regression maps SSTRegression maps SST

Page 9: Decadal variability

Regression maps (lags)Regression maps (lags)

SSH – PC 1

Page 10: Decadal variability

Regression maps (lags)Regression maps (lags)

SST – PC 1

Page 11: Decadal variability

Regression maps (lags)Regression maps (lags)

SSH – PC 2Propagation of SSH anomalies in the SW direction

Page 12: Decadal variability

Regression maps (lags)Regression maps (lags)

SST – PC 2

Page 13: Decadal variability

Zonal SSH EOFsZonal SSH EOFs SSH average zonally between 142°E-180°

EOF 1: 52.98%

EOF 2: 17.96%

Taguchi et al, 2007

Taguchi et al, 2007

The second mode tracks very well with the strength of the KE jet

The first mode represents a north-south shift of the KE jet

Page 14: Decadal variability

Lag correlation betweenNPGO index and Kuroshio zonal PC2

Strength of Kuroshio(Taguchi et al. 2007; Qiu et al., 2005)Isolated as the zonal PC 2 of SSHa field between142-180E

Page 15: Decadal variability

NCEP wind stress curl vs NPGONCEP wind stress curl vs NPGO

Page 16: Decadal variability

NCEP wind stress curl vs PDONCEP wind stress curl vs PDO

Page 17: Decadal variability

KOE SST indexKOE SST indexQiu et al, 2007

Page 18: Decadal variability
Page 19: Decadal variability

GFDL SSHA EOFsGFDL SSHA EOFs

Page 20: Decadal variability

Regression maps (lags)Regression maps (lags) SSH – PC 2

Page 21: Decadal variability

Zonal modes of KOEZonal modes of KOE