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PreprintCC BY 4.0HAL

Ocean-Aware Sea-ice Emulator for Future Hybrid Coupled Prediction Systems

Abstract

We built NaiNUQ, a multivariate deterministic emulator of the sea-ice model NANUQ which can handle seasonal prediction. Forcing a sea-ice neural emulator with ocean surface currents causes instabilities in the prediction. Using ocean sub-surface currents removes this instability, yielding stable emulator that outperforms atmosphere-only emulators.

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BibTeX
@misc{durand2026oceanaware,
  title = {{Ocean-Aware Sea-ice Emulator for Future Hybrid Coupled Prediction Systems}},
  author = {Charlotte Durand and Pierre Rampal and Laurent Brodeau},
  howpublished = {HAL},
  year = {2026},
  month = aug,
  doi = {10.22541/essoar.15007260/v1},
  url = {https://hal.science/hal-05771950v1},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Ocean-Aware Sea-ice Emulator for Future Hybrid Coupled Prediction Systems
AU  - Charlotte Durand
AU  - Pierre Rampal
AU  - Laurent Brodeau
PY  - 2026
DA  - 2026/08/10
PB  - HAL
DO  - 10.22541/essoar.15007260/v1
UR  - https://hal.science/hal-05771950v1
AB  - We built NaiNUQ, a multivariate deterministic emulator of the sea-ice model NANUQ which can handle seasonal prediction. Forcing a sea-ice neural emulator with ocean surface currents causes instabilities in the prediction. Using ocean sub-surface currents removes this instability, yielding stable emulator that outperforms atmosphere-only emulators.
ER  -