Poster Presentation AMOS Annual Meeting and International Conference on Tropical Meteorology and Oceanography

Analysis of sea temperature signal and wave energy propagation characteristics of the Two El Niño Events in 1997/98 and 2014/16 (#2060)

Tiangui Xiao 1 , Yao Huang 1 , Ronghua Jin 1
  1. Chengdu University of Information Technolog, Chengdu, SICHUAN, China

Using the EC reanalysis data, the ElNiño-index from China National-Climate-Center and the SST data from NCEP, the whole process of ElNiño is analyzed from the perspective of traveling wave and energy by means of CEOF and WPD . This paper focus on comparative analysis of two super ElNiño events which occur in 1997/98 and 2014/16. (1) The CEOF decomposition can reflect the eastern and central type of ElNiño, and the center of sea temperature variation occurs in the eastern equatorial Pacific and the Middle Pacific respectively, and the SST anomaly information flows from east to west. (2) Wave energy is generated in the subsurface of the ocean, transported from the bottom of western equatorial Pacific Ocean to top as well as from west to the East to the sea surface of Equatorial Middle East Pacific. Energy accumulates from the early stage, and then decay at the heyday period and stops propagate at decay period. After reaching the equatorial Middle East Pacific Ocean surface, the wave energy propagates from the east to the west, and begins to disperse to the north and south hemispheres at the peak period.(3) Westerly stress is the main dynamic factor for the propagation of subsurface wave energy. The eruption of the west wind causes the subsurface wave to spread from the bottom to the upper, the west to the east. As the westerly wind weakens, the propagation of wave energy weakens or interrupts. The westerly wind strengthens, and the wave energy intensity and propagation speed increase. (4) The 1997/98 years process SSTD is larger than 2014/16 years, the wave energy is stronger, the propagation speed is faster, the frequency dispersion speed is slower.

Acknowledgements

This study was supported by National Natural Science Foundation of China Fund Project (41575066), National Science and Technology Support Program of China(2015BAC03B05).