Application of S_TIDE in exploration of seasonal variations of internal tidal amplitudes in the northern South China Sea

Abstract An enhanced harmonic analysis (S_TIDE) approach is adopted to examine the seasonal variations of internal tidal amplitudes in the northern South China Sea (SCS). Results of idealized experiments reveal that the seasonality can be captured by S_TIDE. By applying S_TIDE to mooring data, obser...

Full description

Saved in:
Bibliographic Details
Published inJournal of atmospheric and oceanic technology Vol. 38; no. 8; p. 1425
Main Authors LI, BINGTIAN, WEI, ZEXUN, WANG, YONGGANG, GUO, XINYU, XU, TENGFEI, LV, XIANQING
Format Journal Article
LanguageEnglish
Published Boston American Meteorological Society 01.08.2021
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Abstract An enhanced harmonic analysis (S_TIDE) approach is adopted to examine the seasonal variations of internal tidal amplitudes in the northern South China Sea (SCS). Results of idealized experiments reveal that the seasonality can be captured by S_TIDE. By applying S_TIDE to mooring data, observed seasonality of internal tidal amplitudes in the northern SCS are explored. Not diurnal and semidiurnal internal tides (ITs), but overtides and long-period constituents of ITs exhibit clear seasonal cycles. However, differences between amplitudes of the eastward velocity and the northward counterpart are evident for K 1 , M 2 and MK 3 , which may be caused by the intensification of background currents. Amplitudes of those ITs are stronger at intersection time between spring and summer in the eastward direction, but weaker in the northward direction. EOF analysis reveals that modes of diurnal ITs are higher than those of seimidiurnal ITs, which induces relatively more complicated seasonal variations. In addition to intensification of background currents, influences of surface tides and stratification will also induce variations of internal tidal amplitudes, introducing tremendous difficulty in predicting variation trends of internal tidal amplitudes, which greatly reduces predictability of ITs.
ISSN:0739-0572
1520-0426
DOI:10.1175/JTECH-D-20-0119.1