| Title: | Training and test datasets, pretrained weights and predictions for HIDRA3 : version v1 |
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| Authors: | ID Rus, Marko (Author)
ID Mihanović, Hrvoje (Author)
ID Ličer, Matjaž (Author)
ID Kristan, Matej (Author) |
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| Files: |  URL - Source URL, visit https://zenodo.org/records/12571170
 JSON - Metadata, download (2,83 KB)
MD5: 3C44C6E94B6ACE32DD1A9D814EF80F14
URL - Similar work, visit https://doi.org/10.5194/gmd-18-605-2025
Description: HIDRA3: a deep-learning model for multipoint ensemble sea level forecasting in the presence of tide gauge sensor failures (Model description paper)
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| Language: | English |
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| Typology: | 2.20 - Complete scientific database of research data |
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| Organization: |  NIB - National Institute of Biology
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| Abstract: | HIDRA3 is a state-of-the-art deep neural model for multi-point sea-level prediction based on past sea level observations and future tidal and geophysical forecasts. Published data contain HIDRA3 pretrained weights, predictions for all 50 ensembles, geophysical training and evaluation data and SSH observations from Koper (Slovenia). The structure of the data is described in README.md. |
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| Keywords: | sea level modeling, deep learning, storm surges |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Publication date: | 27.06.2024 |
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| Place of publishing: | Genève |
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| Publisher: | Zenodo |
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| Year of publishing: | 2024 |
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| Number of pages: | 1 spletni vir |
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| PID: | 20.500.12556/DiRROS-28898  |
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| UDC: | 004.85:622.847:551.461.2 |
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| DOI: | 10.5281/zenodo.12571170 |
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| COBISS.SI-ID: | 272702211 |
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| Note: | Nasl. z. nasl. zaslona;
Opis vira z dne 23. 3. 2026;
Soavtorji: Hrvoje Mihanović, Matjaž Ličer, Matej Kristan;
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| Publication date in DiRROS: | 13.04.2026 |
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| Views: | 26 |
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| Downloads: | 17 |
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| Metadata: |    |
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