Initiative #161

Remote sensing of the internal tide in the St. Lawrence

Listed in the registry Pilot Original language : English

About the initiative

Description of the initiative

Using model outputs (STLE500/STLE200) to 1) help identify internal tide surface signature in SWOT (Surface Water and Ocean Topography) data and 2) train an AI to detect internal tide in SWOT data.

AI family

Perception and Understanding

AI capability: Environmental/Ecological Modeling, Forecasting, and Classification

Bucket rationale Not translated

Détection automatisée de phénomènes physiques sur grandes images/séries spatiales—perception scientifique.

Lifecycle

Ideation

Stage status : Completed

June 1, 2025
Assessment

Stage status : Completed
Approved

Stage status : Completed
Development

Stage status : Completed
Pilot

Stage status : In progress
Production

Stage status : Upcoming
Archived

Stage status : Upcoming

Schedule for this initiative

Completed
In progress
Planned
Not applicable
Today

2025 Jun Jul Aug Sep Oct Nov Dec 2026 Jan Feb Mar Apr May Jun Jul Aug Sep

Ideation

A similar need?

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Contacts

Requester: Smith, Melannie
Sector contact: Smith, Melannie
Subject matter expert: Winegardner, Amanda; Smith, Melannie

Data and tools

Sector: Ecosystems and Oceans Science
Region: National Capital Region
Submitted on: June 1, 2025