The analysis of the influence of globe SST anomalies on 500 hPa temperature field based on Bayesian

Abstract

In this paper, we break down sea surface temperature(SST) anomaly field by using the empirical orthogonal function (EOF) to obtain a rebuilding space made up of different patterns which are orthogonal to each other, then we unfold 500 hPa temperature field in this space. Furthermore, with the method of Bayesian analysis, we define the impact index of different patterns on 500 hPa air temperature field and research the variation characteristic of index with the change of spatial pattern of SST. It is found that SST field has a great effect on 500 hPa temperature field between April to June. Besides, after the abrupt climate change, different patterns of SST have different effects on temperature field.