Regression Coefficients for the Seasonal Prediction of Bottom Temperature on the Northeast U.S. Continental Shelf

These files provide the regression coefficients (alpha, c) for the persistence-advection prediction model of bottom temperature in each subregion on the Northeast U.S. continental shelf. The model and its skill assessment is described in detail in Chen et al. (2021). It is based on the GLORYS12v1 ocean reanalysis dataset. A 12-fold cross-validation method is applied, so there are 12 pairs of (alpha, c) for a particular subregion, lead month, and forecast month. Dimensions of variable alpha, and c are (12-fold training segments, 12 lead month: 1-12 month(s), 12 forecast month: Jan-Dec). The time period is 1993-2018.