Title:
Super-resolution flood emulator based on hybrid climate-machine learning models for flood hazard assessment in a changing climate for urban regions of Canada
Agreement Value:
$25,000.00
Agreement Date:
Jun 6, 2021 - Sep 30, 2022
Description:
There is mounting evidence that the magnitude and frequency of flash floods are expected to increase due to an increased likelihood of heavy precipitation events in a future warmer climate. To develop future projections of such events, transient climate change simulations from both Global and Regional Climate Models (i.e. GCMs and RCMs) are routinely used. While GCMs are constrained by their coarse spatial resolution, RCMs are computationally very expensive for generating super-resolution (~ 250 m and finer) simulations, which are required to understand flash flooding dynamics in urban areas. In this study, a physically consistent super-resolution emulator based on deep learning frameworks will be developed to generate super-resolution information of heavy precipitation events from coarser resolution simulations for future flood hazard assessment, for selected urban regions.
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 0G4
Reference Number:
172-2021-2022-Q1-971059
Report Type:
Grants and Contributions
Recipient Business Number:
119128981
Recipient's Legal Name:
The Royal Institution for the Advancement of Learning/McGill University
Federal Riding Name:
Ville-Marie–Le Sud-Ouest–Île-des-Sœurs
Federal Riding Number:
24077
Program:
Collaborative Science, Technology and Innovation Program – Ideation Fund
Program Purpose:
The Ideation Fund is intended to encourage, test and validate transformative research ideas generated by teams of NRC scientific personnel and external collaborators with complementary capabilities, acting as a demonstration phase for a continually-evolving suite of research and development (R&D) deliverables at the NRC. The fund supports exploratory research through two mechanisms: the New Beginnings Initiative and the Small Teams Initiative.
NAICS Code:
541710 - R&D in the physical, engineering and life sciences