Retraction Note: Ocean surface temperature simulation based on big data and accuracy of English translation of foreign trade vocabulary

Abstract

The slight change of sea surface temperature (SST) may affect the marine climate, the coastal climate, and the distribution of aquatic resources. Therefore, in order to understand marine climate change and aquatic resources, long-term investigation of SST change tendency is particularly important. Satellite remote sensing is one of the effective means to monitor sea surface temperature. In the face of a large number of remote sensing data sources, it is very important to choose an appropriate multi-source remote sensing data fusion method to improve the inversion accuracy and coverage of sea surface temperature. Big data technology is becoming an important force to promote the development of national economy. In the process of accelerating the penetration of big data technology into various fields of economy and society, it promotes the change of production mode and greatly improves productivity. After the accuracy of ensemble Kalman filter in sea surface temperature fusion is verified by sea surface temperature simulation based on big data, the fused SST is processed into abnormal form and decomposed by empirical orthogonal function, and its spatial and temporal distribution characteristics are analyzed. Based on the above big data, big data technology makes the business English translation industry usher in earth-shaking changes. Massive translation information based on big data platform can not only improve the efficiency of business English translation, but also improve its translation accuracy. However, due to the short time of big data technology, cultural and pragmatic differences, and other factors, the personal development of business English translators is limited. Therefore, by combining the basic connotation and existing problems of business English translation, this paper puts forward strategies to improve translation skills from two aspects of the main body of the teacher and the main body of the learner, in order to improve the accuracy of English translation of foreign trade vocabulary.