Grants and Contributions:
Title:
Seasonal prediction of ice conditions in the St. Lawrence Seaway using AI
Agreement Number:
978108
Agreement Value:
$290,750.00
Agreement Date:
Sep 1, 2021 - Aug 31, 2025
Description:
Knowledge of ice conditions from freeze-up to break-up is critical for hydrological forecasting and monitoring, as well as for safe operation of ships in icy waters. However, forecasts of ice conditions are almost nonexistent for the St-Lawrence Seaway, a major shipping channel in Canada. This project will develop a forecast model for the (sub-) seasonal evolution of ice conditions in the St-Lawrence River based on Machine Learning. The purpose of these predictions is to aid stakeholders in decision-making and risk analysis for their activities. Ideally, the forecasts will have a lead-time of 30 to 60 days and will be updated daily. First, the model will focus on forecasting ice conditions in the St-Lawrence Seaway, since there is currently a lack of ice forecasts in this region. The model will then be extended to the Estuary/Gulf of the St-Lawrence River if the forecasts for the Seaway are shown to be skillful.
Organization:
National Research Council Canada
Expected Results:
In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems.
Location:
Montreal, Quebec, CA H3A 2M7
Reference Number:
172-2021-2022-Q2-978108
Agreement Type:
Grant
Report Type:
Grants and Contributions
Recipient Business Number:
119128981
Recipient Type:
Academia
Additional Information:
This agreement has been amended 1 time(s). The end date of this agreement has been modified by 365 days.
Amendment Date
Aug 26, 2024
Recipient's Legal Name:
The Royal Institution for the Advancement of Learning/McGill University
Federal Riding Name:
Ville-Marie--Le Sud-Ouest--Île-des-Soeurs
Federal Riding Number:
24077
Program:
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Program Purpose:
Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas.
NAICS Code:
541710 - R&D in the physical, engineering and life sciences
Amendments: