Wind and Structures
Volume 40, Number 5, 2025, pages 321-331
DOI: 10.12989/was.2025.40.5.321
Wind stations reliability for Indigenous regions in Canada: A case study
Tristen Brown, Ahmed Elshaer and Anas Issa
Abstract
The uncertainty of climate-related challenges, including cold climates, wildfires, flooding, and high winds, is
increasing throughout Canada due to the escalating effects of climate change. Therefore, climate data is a crucial source of
information for a wide range of activities, from agriculture and transportation to infrastructure design and disaster preparation. In
remote regions throughout Canada, accessibility and reliability of weather data can become a critical factor for the sustainability
and well-being of Indigenous communities. Thus, this study investigates weather station reliability and correlates it with the
geographical locations of case-specific Indigenous communities. The study first analyzes a specific geographical distribution of
Indigenous communities and proximate weather stations in northern Manitoba and Ontario. The study then assessed the quality
of the historical wind data using an extreme value analysis and return period for the peak wind velocities. While some regions
throughout Canada have a robust network of weather stations and data, others lack acceptable coverage. Therefore, this analysis
identifies the weather station reliability from the provided wind data based on the longevity and quality of the provided data.
Reliability conducted in the study refers to the quality of the weather data and geographical proximity and relevance of weather
stations to Indigenous communities. Wind records revealed significant differences in peak wind velocities at the stations
surrounding the Bunibonibee Cree Nation due to the geographical distance and terrain. Wind record lengths also allowed for
forecasting peak wind gusts, with outcomes showing increases and decreases based on historical data. Accumulating more wind
records tended to stabilize fluctuations in peak wind gusts. By improving the accessibility and quality of climate data in these
areas, we can better support Indigenous communities in their efforts to adapt to a changing climate and manage their resources
sustainably.
Key Words
extreme value analysis; indigenous communities; mean wind velocity; return period; weather station reliability
Address
Tristen Brown:Department of Civil Engineering, Lakehead University, 955 Oliver Rd, Thunder Bay, ON P7B 5E1, Thunder Bay, Canada
Ahmed Elshaer:Department of Civil Engineering, Lakehead University, 955 Oliver Rd, Thunder Bay, ON P7B 5E1, Thunder Bay, Canada
Anas Issa:Department of Civil Engineering, United Arab Emirates University, United Arab Emirates, Abu Dhabi