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Seminar report. North Pacific oceanic variability. 報告人:沈茂霖 (Mao-Lin Shen) 2014/9/4. Qiu’s papers. Qiu, B. and S. Chen (2010) " Interannual-to-Decadal Variability in the Bifurcation of the North Equatorial Current o f the Philippines ." JPO, accepted. - PowerPoint PPT Presentation
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North Pacific oceanic variability
報告人:沈茂霖 (Mao-Lin Shen)
112/04/21
Seminar report
112/04/21 Mao-Lin Shen, Dept. of Atmospheric Sciences, NTUMao-Lin Shen, Dept. of Atmospheric Sciences, NTU Page 2
Qiu’s papers
Qiu, B. and S. Chen (2010) "Interannual-to-Decadal Variability in the Bifurcation of the North Equatorial Current of the Philippines." JPO, accepted.
Qiu, B. and S. Chen (2010) "Interannual Variability of the North Pacific Subtropical Countercurrent and Its Associated Mesoscale Eddy Field." JPO, 40(1), 213-225.
Qiu, B. and S. Chen (2010). "Eddy-mean flow interaction in the decadally modulating Kuroshio Extension system." DSR-II, 57(13-14): 1098-1110.
112/04/21 Mao-Lin Shen, Dept. of Atmospheric Sciences, NTUMao-Lin Shen, Dept. of Atmospheric Sciences, NTU Page 3
(Qiu and Chen, 2010)
•North Equatorial Current bifurcation (NECB)
•Zonally distributed wind stress curl
112/04/21 Mao-Lin Shen, Dept. of Atmospheric Sciences, NTUMao-Lin Shen, Dept. of Atmospheric Sciences, NTU Page 4
STCC
•STCC, subtropical countercurrent
•Ekman convergence forcing, which associated with meridional temperature gradient and zonal geostrophic velocity
(Qiu and Chen, 2010)
112/04/21 Mao-Lin Shen, Dept. of Atmospheric Sciences, NTUMao-Lin Shen, Dept. of Atmospheric Sciences, NTU Page 5
Fig. Comparison between the interannually-varying Ekman forcing term and the interannually-varying EKE time series in the STCC band.
112/04/21 Mao-Lin Shen, Dept. of Atmospheric Sciences, NTUMao-Lin Shen, Dept. of Atmospheric Sciences, NTU Page 6
Fig. Comparison with Nino 3.4 and WP indices.
112/04/21 Mao-Lin Shen, Dept. of Atmospheric Sciences, NTUMao-Lin Shen, Dept. of Atmospheric Sciences, NTU Page 7
(Qiu and Chen, 2010)
Fig. (B) Eddy kinetic energy calculated from the satellite altimeter SSH data from October 1992 to September 2008. White contours denote the 4000-m isobaths..
112/04/21 Mao-Lin Shen, Dept. of Atmospheric Sciences, NTUMao-Lin Shen, Dept. of Atmospheric Sciences, NTU Page 8
112/04/21 Mao-Lin Shen, Dept. of Atmospheric Sciences, NTUMao-Lin Shen, Dept. of Atmospheric Sciences, NTU Page 9
Fig. (A) Lagged correlation between the SSHa (32o-34oN) and the one-year running mean PDO index. (B) Same as (A) except for the negative, one-year running mean NPGO index. Shaded regions indicate negative correlation coefficients.
112/04/21 Mao-Lin Shen, Dept. of Atmospheric Sciences, NTUMao-Lin Shen, Dept. of Atmospheric Sciences, NTU Page 10
112/04/21 Mao-Lin Shen, Dept. of Atmospheric Sciences, NTUMao-Lin Shen, Dept. of Atmospheric Sciences, NTU Page 11
112/04/21 Mao-Lin Shen, Dept. of Atmospheric Sciences, NTUMao-Lin Shen, Dept. of Atmospheric Sciences, NTU Page 12
Modeled correlation map observation correlation map
Fig. Correlation map of modeled Kuroshio transport and modeled SSHa (left) and that of observed Kuroshio transport (Johns et al., 2001) and SSHa.
112/04/21 Mao-Lin Shen, Dept. of Atmospheric Sciences, NTUMao-Lin Shen, Dept. of Atmospheric Sciences, NTU Page 13
Modeled Kuroshio transport
Fig. Determining modeled Kuroshio transport from SSHa.
37 37.5 38 38.5 39 39.5 40 40.5 4110
15
20
25
30
Time (year)
Q (
Sv)
Kuroshio transportGrostrophic transport
37 37.5 38 38.5 39 39.5 40 40.5 4110
15
20
25
Time (year)
Q (
Sv)
Kuroshio transportFitted transport
112/04/21 Mao-Lin Shen, Dept. of Atmospheric Sciences, NTUMao-Lin Shen, Dept. of Atmospheric Sciences, NTU Page 14
Kuroshio transport
1994.8 1995 1995.2 1995.4 1995.6 1995.8 1996 1996.2
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Time (year)
Q (
Sv)
Kuroshio transportGeostrophic transportFitted transportTransfered transport
1994 1996 1998 2000 2002 2004 2006 200810
20
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Time (year)
Q (
Sv)
Geostrophic transportFitted transportTransfered transport
Fig. Determining Kuroshio transport from AVISO SSHa.
112/04/21 Mao-Lin Shen, Dept. of Atmospheric Sciences, NTUMao-Lin Shen, Dept. of Atmospheric Sciences, NTU Page 15
Luzon Strait Throughflow
37 37.5 38 38.5 39 39.5 40 40.5 41-5
0
5
Time (year)
Q (
Sv
)
LS throughflow
Fig. Modeled Luzon Strait throughflow and the correlation map with SSHa.
112/04/21 Mao-Lin Shen, Dept. of Atmospheric Sciences, NTUMao-Lin Shen, Dept. of Atmospheric Sciences, NTU Page 16
Thank you for your attention.