Training and Test Datasets, Pretrained Weights and Predictions for HIDRA-D

HIDRA-D is a novel, state-of-the-art deep neural network model designed for dense sea surface height (SSH) prediction. The model leverages historical sea-level observations and tidal and geophysical forecasts. Published data contains HIDRA-D pre-trained weights, dense predictions for the test period, calculated as the ensemble mean of the forecasts generated from 50 atmospheric ensemble members, and the geophysical training and testing datasets, along with SSH measurements from Koper.