Articles | Volume 18, issue 3
https://doi.org/10.5194/gmd-18-605-2025
https://doi.org/10.5194/gmd-18-605-2025
Model description paper
 | 
04 Feb 2025
Model description paper |  | 04 Feb 2025

HIDRA3: a deep-learning model for multipoint ensemble sea level forecasting in the presence of tide gauge sensor failures

Marko Rus, Hrvoje Mihanović, Matjaž Ličer, and Matej Kristan

Data sets

Training and Test Datasets, Pretrained Weights and Predictions for HIDRA3 Marko Rus et al. https://doi.org/10.5281/zenodo.12571170

Model code and software

Code for HIDRA3: A Robust Deep-Learning Model for Multi-Point Sea-Surface Height Forecasting Marko Rus et al. https://doi.org/10.5281/zenodo.12570449

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Short summary
HIDRA3 is a deep-learning model for predicting sea levels and storm surges, offering significant improvements over previous models and numerical simulations. It utilizes data from multiple tide gauges, enhancing predictions even with limited historical data and during sensor outages. With its advanced architecture, HIDRA3 outperforms current state-of-the-art models by achieving a mean absolute error of up to 15 % lower, proving effective for coastal flood forecasting under diverse conditions.