Hybrid modelling with deep learning for improved sea-ice forecasting
Presentation for the "Data Driven Cryospheric Sciences: Machine Learning, Data Assimilation and Inverse Methods for the Cryosphere" session at the IUGG 2023 in Berlin. This research has received financial support from the project SASIP (grant no. 353) funded by Schmidt Futures – a philanth...
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Bibliographic Details
Main Authors: |
Finn, Tobias,
Durand, Charlotte,
Farchi, Alban,
Bocquet, Marc,
Chen, Yumeng,
Carrassi, Alberto,
Dansereau, Véronique,
Òlason, Einar |
Format: | Lecture
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Language: | English |
Published: |
Zenodo
2023
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Subjects: |
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Online Access: | https://doi.org/10.5281/zenodo.8154679
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