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Convective storms bring heavy rainfall, thunderstorms, and sometimes hail, posing significant risks to cities, farms, and infrastructure. These intense storms are especially common in Canada’s Prairies during the summer and are becoming more severe with climate change. To better predict these storms, we need detailed climate models because convective storms usually happen over small areas (between 10 to 100 kilometres across). However, the typical global climate models cover much larger areas (about 200 kilometres across), making it hard to accurately capture these storms. To solve this problem, this project improves the level of detail and accuracy of these models down to about 10 kilometres using advanced techniques. This improvement will help preserve essential characteristics of rainfall accurately in our predictions. By using multiple climate models, we can also understand how certain we are about these projections. This research is crucial for designing infrastructure in Canadian regions prone to flooding from convective storms, aiming to reduce the damage from these increasingly intense weather events.
Simon Michael Papalexiou
BGC Engineering Inc.
Engineering
Professional, scientific and technical services
University of Calgary
Elevate
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Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.