1 / 13

Interannual SST Variability in the Japan/East Sea and Relationship with Environmental Variables

Interannual SST Variability in the Japan/East Sea and Relationship with Environmental Variables. SUNGHYEA PARK* and PETER C. CHU. Domain. Complex EOF Analysis. Sn ( x,y ): spatial amplitude and phase PCn ( x,y ): temporal amplitude and phase. Fourier Transform Hilbert Transform

brina
Download Presentation

Interannual SST Variability in the Japan/East Sea and Relationship with Environmental Variables

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Interannual SST Variability in the Japan/East Sea and Relationship with Environmental Variables SUNGHYEA PARK* and PETER C. CHU

  2. Domain

  3. Complex EOF Analysis • Sn(x,y): spatial amplitude and phase • PCn(x,y): temporal amplitude and phase • Fourier Transform • Hilbert Transform • Complex data field • Singular value decomposition • Real / Imaginary

  4. Spatial amplitude and phase • Spatial amplitude An(x, y) distributions (a) and Spatial phase θn(x, y) distributions (b) of each mode. The contour interval of the amplitude is 0.01°C. Signals propagate toward decreasing phase, and contour interval of the phase is 10° (30°) for the first (second) mode.

  5. Spatial and temporal analysis (Left) Spatial amplitude An(x, y) distributions using NOAA Optimum Interpolation Sea Surface Temperature dataset with a horizontal grid of 1° × 1° (contour interval is 0.01°C). (Right) Temporal amplitude Bn(t) variations (a) and temporal phase φn(t) variations (b) of each mode.

  6. Seasonal CEOF Seasonal CEOF. (a) Spatial amplitude (contour interval is 0.01°C), and (b) temporal variation at the grid with a maximum spatial amplitude: (137.5°E, 39.7°N) for the winter first mode, (134.3°E, 41.5°N) for the summer first mode, (128.8°E, 39.4°N) for the winter second mode, and (139.9°E, 46.3°N) for the summer second mode.

  7. Propagation Evolutions of the second mode SSTA over mid-1987~mid-1993 with an interval of 80 days. Phase changes from 360° to 0°. Time instance is recorded as the fraction of a year; e.g., the fraction 1987.5 indicates mid-1987. Contour interval is 0.2°C. Black (white) contours indicate negative (zero and positive) anomaly.

  8. Comparisons to the climate indices • Lag correlation coefficients between the climate indices and the n-th mode JES SSTA, where negative lag indicates that the climate indices lead JES SSTA. (a) First mode, and (b) second mode.

  9. Regression to other variations

  10. Regression to other variations

More Related