Dataset for: Statistical simulation of ocean current patterns using autoregressive logistic regression (ALR) models: A case study in the Gulf of Mexico

This dataset supports the publication “Statistical simulation of ocean current patterns using autoregressive logistic regression (ALR) models: A case study in the Gulf of Mexico.” (https://doi.org/10.1016/j.ocemod.2019.02.010) This dataset includes historical dynamic topography and surface currents from satellite altimetry (1991-01-01 to 2017-08-29) as well as processed views of the Gulf of Mexico Loop Current. The processed data include a time history of 84 empirical orthogonal functions (EOFs), the results of automated pattern identification (principal component analysis and k-means clustering), and the results of three (3) autoregressive logistic regression (ALR) models.