HIDRA2: deep-learning ensemble sea level and storm tide forecasting in the presence of seiches – the case of the northern Adriatic

Rus, Marko; Fettich, Anja; Kristan, Matej; Ličer, Matjaž

doi:https://doi.org/10.5194/gmd-16-271-2023

Articles | Volume 16, issue 1

https://doi.org/10.5194/gmd-16-271-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-16-271-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 1

Model description paper

|

10 Jan 2023

Model description paper |

| 10 Jan 2023

HIDRA2: deep-learning ensemble sea level and storm tide forecasting in the presence of seiches – the case of the northern Adriatic

Marko Rus, Anja Fettich, Matej Kristan, and Matjaž Ličer

Supplement

https://doi.org/10.5194/gmd-16-271-2023-supplement

Data sets

Training and Test Datasets for HIDRA2 Marko Rus, Anja Fettich, Matej Kristan, Matjaž Ličer https://doi.org/10.5281/zenodo.7304086

Sea Level Datasets for HIDRA2 Training and Evaluation Marko Rus, Anja Fettich, Matej Kristan, Matjaž Ličer https://doi.org/10.5281/zenodo.7277108

Model code and software

Code for HIDRA2: Deep-Learning Ensemble Sea Level and Storm Tide Forecasting in the Presence of Seiches – the Case of Northern Adriatic Marko Rus, Anja Fettich, Matej Kristan, Matjaž Ličer https://doi.org/10.5281/zenodo.7307365

Short summary

We propose a new fast and reliable deep-learning architecture HIDRA2 for sea level and storm surge modeling. HIDRA2 features new feature encoders and a fusion-regression block. We test HIDRA2 on Adriatic storm surges, which depend on an interaction between tides and seiches. We demonstrate that HIDRA2 learns to effectively mimic the timing and amplitude of Adriatic seiches. This is essential for reliable HIDRA2 predictions of total storm surge sea levels.