The warm phase of El Nino-Southern Oscillation(ENSO) called El Nino, originates in the Pacific Ocean. Many researchers are exploring the relationship between El Nino and precipitation, and one study shows that ENSO affects precipitation variability on a global scale. But these effects may vary in specific regions. The southeastern United States(SEUS) is far away from the Pacific Ocean where El Nino originated, and the terrain is high in the west and low in the east. Therefore, this paper takes the SEUS as an example to find whether El Nino will affect the local precipitation. All data, like the index Nino3.4 which quantifies El Nino and other parameters, are from the NOAA website. After dealing with these data through R language and Excel, the data can be visualized with Tableau's own models. Since correlation analysis only focuses on a single factor, multinomial quadratic analysis in multiple linear regression analysis is used to describe the relationship between parameters. The results show that only the two parameters of wind speed and pressure fit best with Nino3.4, and the correlation between the two parameters reaches an extremely significant level(P value < 0.0001), indicating that both wind speed and pressure influence the change of El Nino. In addition, the P value of El Nino and precipitation are greater than 0.05 and the dispersion degree is high, showing that El Nino has no effect on precipitation in a single dimension. At the same time, since wind speed and pressure have an impact on precipitation, it is reasonable to infer that El Nino is indirectly related to precipitation under multidimensional conditions, but it is not within the scope of this paper.
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