Hindcast Gulf of Mexico Sea Level Anomalies Using ECCO Sensitivities, Seasonal Prediction Models, and Residual Damped Persistence: 1-12 Month Predictions

This dataset uses the hybrid dynamical prediction approach (Frederikse et al., 2022) to generate reconstructions and hindcast predictions of sea level anomalies at lead times of up to 12 months. The inputs used to generate the predictions are adjoint sensitivities from the Estimating the Circulation and Climate of the Ocean (ECCO) state estimate, and surface fluxes from ECCO and a range of seasonal prediction models. A residual damped persistence (RDP) component is also added to the predictions, which are provided both with and without the RDP. Observations from co-located tide gauges and satellite altimetry are also included for easy validation of the hindcast predictions.