Grants and Contributions:
Title:
Medium range sea ice presence forecasting using AI approach
Agreement Number:
956516
Agreement Value:
$213,840.00
Agreement Date:
Sep 2, 2020 - Dec 31, 2024
Description:
Accurate and timely forecasts of sea ice conditions are crucial for safe shipping operations in the Canadian Arctic and other ice-infested waters. Sea-ice forecasts can be obtained through an optimal combination of sea-ice model output and
observational data, in a manner similar to weather forecasting. However, these forecasting systems rely on accurate weather forecasting data to drive the sea-ice model, which is not available at high spatial resolution during the advance tactical
planning stage. For this reason, seasonal sea ice forecasts are often obtained through statistical means. This Project will build on a prototype system that uses advanced artificial intelligence (AI) methods to provide state-of-the-art seasonal
forecasts of sea ice conditions in the Canadian Arctic. Novel developments in AI will be incorporated into the prototype for enhanced accuracy of sea ice forecasts. The prototype will be evaluated through extensive comparison with independent data and case studies based on community needs. It is anticipated these sea ice forecasts will significantly reduce costs incurred by delayed operations in annual resupply of northern communities. The final system will be delivered to the Government of Northwest Territories and its Marine Transport Services group.
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:
Waterloo, Ontario, CA N2L 3G1
Reference Number:
172-2020-2021-Q2-956516
Agreement Type:
Grant
Report Type:
Grants and Contributions
Recipient Business Number:
119260685
Recipient Type:
Academia
Additional Information:
This agreement has been amended 2 time(s). The end date of this agreement has been modified by 274 days.
Amendment Date
Dec 7, 2023
Recipient's Legal Name:
University of Waterloo
Federal Riding Name:
Waterloo
Federal Riding Number:
35112
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
Amendments: