Lakehead University

Published purpose

Geomagnetic disturbances pose a continuing threat to Canada’s technological infrastructure; understanding and modeling these disturbances is a crucial step to mitigating this threat. This proposal fills critical gaps in our current knowledge of geomagnetic disturbances and will quantify the drivers and spatial and temporal dynamics of these disturbances. The proposal will further develop a novel machine learning model of geomagnetic disturbances which will aid stakeholders and forecasters in making operational decisions to limit the impact of space weather. The work accomplished here is strategically aligned with CSA's Priorities and Objectives and will help to elevate Canada’s research reputation.