Features of the Three Dimensional Structure in the Pacific Sub-surface Layer in Summer

Abstract

The anomaly of the summer sea temperature is analyzed by a spatial-temporal synthetically rotated orthogonal function (REOF) at three different depths (0 m, 40 m, and 120 m) over the area 110°E~100°W and 30°S~60°N. The spatial-temporal distribution shows that the “signal” of annual anomaly is stronger in the sub-surface layer than the surface layer, and it is stronger in the eastern equatorial Pacific than in the western area. The spatial structure of the sea temperature anomaly at different layers is related to both the ocean current and the interaction of ocean and atmosphere. The temporal changing trend of the sub-surface sea temperature in different areas shows that the annual mean sea temperature increases and the annual variability evidently increases from the 1980s, and these keep the same trend with the increasing El Nino phenomenon very well.

Prediction of seasonal sea surface temperature based on temperature and salinity of subsurface ocean using machine learning

“…To understand the spatial–temporal variations characteristics of OT in three dimensions, the spatial–temporal integrated empirical orthogonal function (STI‐EOF) (Chen et al, 2020) is applied. This method can be used to obtain both two‐dimensional (2D) distribution characteristics and 3D structure characteristics, therefore, is superior to the traditional EOF method.…”