Interannual variability of cold domes northeast of Taiwan

Yu-Hsin ChengState Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, Fujian, China

https://orcid.org/0000-0002-2619-4398 View further author information

Jiayu HuState Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, Fujian, ChinaView further author information

Quanan ZhengDepartment of Atmospheric and Oceanic Science, University of Maryland, College Park, MD, USAView further author information

Feng-Chun SuExhibition and Education Division, National Museum of Marine Science and Technology, Keelung, TaiwanCorrespondence[email protected]
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Figures & data

Figure 1. SST (shaded colour) blended with multi-satellite images and AVISO surface current anomalies (arrows) on 28 September 2014. The thicker black contour and the thinner white lines indicate the periphery of the automatically identified cold dome and isobaths, respectively. The dotted blue line represents the ground track of the satellite altimeter (Track 240) crossing precisely over the cold dome.

Figure 2. Empirical orthogonal function (EOF) of mode 1 (54%) with along-track SLA (track 240): (a) eigenvector of mode 1 (EV₁) and (b) principal component of mode 1 (PC₁). (c) Wavelet power spectrum of PC₁ using the Morlet wavelet. The black contour encloses significant regions (90% confidence level); a lighter shade indicates the cone of influence where edge effects might distort the diagram.

Figure 2. Empirical orthogonal function (EOF) of mode 1 (54%) with along-track SLA (track 240): (a) eigenvector of mode 1 (EV1) and (b) principal component of mode 1 (PC1). (c) Wavelet power spectrum of PC1 using the Morlet wavelet. The black contour encloses significant regions (90% confidence level); a lighter shade indicates the cone of influence where edge effects might distort the diagram.

Figure 3. EOF of mode 1 (45%) with SST: (a) EV₁ and (b) PC₁.

Figure 3. EOF of mode 1 (45%) with SST: (a) EV1 and (b) PC1.

Figure 4. Twelve-month low-pass filtered time series of (a) SLA PC₁ (blue) and SST PC₁ (orange) and (b) ONI (yellow) and PDO (green).

Figure 4. Twelve-month low-pass filtered time series of (a) SLA PC1 (blue) and SST PC1 (orange) and (b) ONI (yellow) and PDO (green).

Figure 5. Lagged correlations of SLA PC₁ with SST PC₁, ONI, and PDO. Dash-dots indicate an insignificant correlation coefﬁcient (r) at the 95% confidence level.