Numerical simulation of sea surface temperature based on big data and calculation of economic effect of import trade

Abstract

The Arctic Oscillation and the North Atlantic Oscillation are the dominant patterns of the atmospheric circulation except the tropics in the northern region. In winter, the Arctic Oscillation and the North Atlantic Oscillation have a great influence on the climate of most regions except the tropics, and it has an organic integration with the North Atlantic sea surface temperature. It is still used by many departments and institutions to judge and predict atmospheric circulation according to the set sea surface temperature. However, the short-term climate judgment is greatly affected by different sea surface temperatures, and the understanding of the otherness is still lacking. Therefore, it is the main way for China to predict the climate of relevant regions through the prediction experiments of several different sea surface temperatures for atmospheric circulation climate carried out by the National Climate Center and the analysis of relevant data information through the experiments. It is still the main way to strengthen the development of trade, especially the development of import and export trade, by reducing tariffs. But it is inevitable that the reduction of tariffs will also reduce the country’s government revenue. By studying the impact of tariff reduction on finance on the basis of theory, to enhance the level of fiscal revenue of each country. Import trade is the main content of international trade, and its scale and form have a significant impact on the development of a country. Research shows that we should strengthen the import of high-tech products. Improving the import structure of general products and paying attention to the import of consumer goods play a very important role in stabilizing the country’s economic growth level and improving the country’s economic income.