Grants and Contributions:
Title:
Machine learning-based models for seasonal runoff forecasting in the Canadian Prairie Provinces – tracking season-ahead fresh water fluxes from land to ocean
Agreement Number:
1003155
Agreement Value:
$229,504.00
Agreement Date:
Jan 1, 2023 - Jun 30, 2026
Description:
This project aims at developing efficient and easy-to-use models for seasonal forecasting of spring runoff for various watersheds in Alberta, Saskatchewan and Manitoba. The season-ahead forecasts are critical for planning reservoir operations, agricultural water management, flood risk assessments, and prediction of nutrient loadings into large water bodies, such as Saskatchewan River Delta, Lake Winnipeg, and Hudson Bay. An attractive feature of this work is that it will connect mountain headwaters to the Ocean, through Hudson Bay, and will utilize the great potential and prediction skills of rapidly emerging machine learning (ML) techniques. Additionally, correlation and causation analyses will be implemented and their respective outputs will help improve our current understanding of runoff generation mechanisms and controlling factors in prairie landscapes. The expected output of the project will be a set of ML models for seasonal runoff forecasting, along with quantitative estimates of the forecast uncertainty, often neglected in traditional modeling approaches.
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:
Saskatoon, Saskatchewan, CA S7N 2X8
Reference Number:
172-2022-2023-Q4-1003155
Agreement Type:
Grant
Report Type:
Grants and Contributions
Recipient Business Number:
119279313
Recipient Type:
Academia
Additional Information:
This agreement has been amended 1 time(s). The end date of this agreement has been modified by 180 days.
Amendment Date
Oct 10, 2023
Recipient's Legal Name:
University of Saskatchewan
Federal Riding Name:
Saskatoon–University
Federal Riding Number:
47011
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: