Deep learning for surrogate modelling of neXtSIM ...

Contribution to the "11th Sea Ice data assimilation workshop in Oslo". This presentation describes the advance in the work from my PhD. ... : This work is a contribution to the project SASIP (grant no. 353), funded by Schmidt Futures – a philanthropic initiative that seeks to improve socie...

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Bibliographic Details
Main Authors: Durand, Charlotte, Finn, Tobias, Farchi, Alban, Bocquet, Marc, Òlason, Einar
Format: Text
Language:English
Published: Zenodo 2023
Subjects:
Deep learning
Sea-ice Physics
Sea-ice thickness
Surrogate modeling
Sea ice
Online Access:https://dx.doi.org/10.5281/zenodo.7828175
https://zenodo.org/record/7828175
Description
Summary:Contribution to the "11th Sea Ice data assimilation workshop in Oslo". This presentation describes the advance in the work from my PhD. ... : This work is a contribution to the project SASIP (grant no. 353), funded by Schmidt Futures – a philanthropic initiative that seeks to improve societal outcomes through the development of emerging science and technologies. ...

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