Initiative #77
Emulator for OPP port models and for relocatable ocean modelling system
Listed in the registry Ideation Original language : English
About the initiative
Description of the initiative
Use machine learning to develop an emulator (or similar) for the OPP port models, which would be used to produce forecasts via inference. The inference is expected to be both faster and computationally cheaper than existing solutions. The training process would use existing model output from multi-year hindcasts. Success with a fixed location would graduate to developing a relocatable emulator TBD; could be U-Net or CNN, or based on GraphCast
AI family
Bucket rationale
Uses ML to generate new model outputs/forecasts—generative/simulation role.
Lifecycle
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Ideation
Stage status : In progress
May 29, 2025
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Assessment
Stage status : Upcoming
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Approved
Stage status : Upcoming
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Development
Stage status : Upcoming
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Pilot
Stage status : Upcoming
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Production
Stage status : Upcoming
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Archived
Stage status : Upcoming
Schedule for this initiative
- Completed
- In progress
- Planned
- Not applicable
- Today
A similar need?
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Contacts
- Requester
- Quan, Eric
- Sector contact
- Dunphy, Michael
- Subject matter expert
- Dunphy, Michael
Data and tools
- Sector
- Ecosystems and Oceans Science
- Region
- Pacific
- Submitted on
- May 29, 2025