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Extreme Weather Hazards in Canada: A Comparative Assessment for Extreme Heat, Wildfires, and Storms

Title:

Extreme Weather Hazards in Canada: A Comparative Assessment for Extreme Heat, Wildfires, and Storms

Gholami, Forough (2026) Extreme Weather Hazards in Canada: A Comparative Assessment for Extreme Heat, Wildfires, and Storms. Masters thesis, Concordia University.

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Abstract

Canada is experiencing increasingly frequent and severe extreme heat, wildfire, and storm events under a changing climate with growing consequences for buildings, critical infrastructure, and public health. These impacts can intensify due to UHI effects, WUI exposure and compound events in urban areas. They often concentrate where exposure and vulnerability overlap, including among older adults and Indigenous communities, underscoring the need for climate resilience and adaptation in built environment planning. Yet, a major knowledge gap exists in building science and hazard assessment, where practitioners lack a unified, cross hazard basis for selecting appropriate hazard datasets, mapping techniques, and modeling approaches. This thesis addresses that gap by establishing a comparative assessment that translates the Canadian hazard mapping evidence base into actionable insights for engineers, planners, and policy stakeholders working toward climate ready communities.
The thesis categorizes the major data sources and methods used to map extreme heat, wildfire, and storms in Canada and compares approaches by spatial and temporal resolution, data requirements, and technical complexity. Accordingly, method selection should be application based and guided by end user needs, since different decisions require different spatial detail, temporal frequency, and geographic coverage. The resulting synthesis supports the identification of vulnerable areas and risk hotspots and provides decision relevant guidance to inform climate adaptive design.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Building, Civil and Environmental Engineering
Item Type:Thesis (Masters)
Authors:Gholami, Forough
Institution:Concordia University
Degree Name:M. Sc.
Program:Civil Engineering
Date:18 February 2026
Thesis Supervisor(s):Wang, Liangzhu Leon
ID Code:996843
Deposited By: Forough Gholami
Deposited On:29 Jun 2026 14:34
Last Modified:29 Jun 2026 14:34

References:

Abbas, W., & Ismael, H. (2020). Assessment of constructing canopy urban heat island temperatures from thermal images: An integrated multi-scale approach. Scientific African, 10, e00607. https://doi.org/10.1016/j.sciaf.2020.e00607
Agrawal, S., Ghazal, L., & Nilusha, W. (2023). Urban heat islands in transit-oriented development designated areas in a high-latitude city—Edmonton, Canada. Canadian Journal of Urban Research, 32(2), 44.
Ahmed, N. M., Altamura, P., Giampaoletti, M., Hemeida, F. A., & Mohamed, A. F. A. (2024). Optimizing human thermal comfort and mitigating the urban heat island effect on public open spaces in Rome, Italy through sustainable design strategies. Scientific Reports, 14(1), 19931. https://doi.org/10.1038/s41598-024-65794-8
Ainslie, B., So, R., & Chen, J. (2022). Operational Evaluation of a Wildfire Air Quality Model from a Forecaster Point of View. Weather and Forecasting, 37(5), 681-698. https://doi.org/10.1175/WAF-D-21-0064.1
Akbari, H., & Kolokotsa, D. (2016). Three decades of urban heat islands and mitigation technologies research. Energy and Buildings, 133, 834-842. https://doi.org/10.1016/j.enbuild.2016.09.067
Alexandra Lesnikowski. (2010). Adaptation to Urban Heat Island Effect in Vancouver, BC. THE UNIVERSITY OF BRITISH COLUMBIA.
Algretawee, H., Rayburg, S., & Neave, M. (2019). Estimating the effect of park proximity to the central of Melbourne city on Urban Heat Island (UHI) relative to Land Surface Temperature (LST). Ecological Engineering, 138, 374-390. https://doi.org/10.1016/j.ecoleng.2019.07.034
Ali-Toudert, F., & Mayer, H. (2006). Numerical study on the effects of aspect ratio and orientation of an urban street canyon on outdoor thermal comfort in hot and dry climate. Building and Environment, 41(2), 94-108. https://doi.org/10.1016/j.buildenv.2005.01.013
Allaga-Zsebeházi, g. (2021). Future temperature and urban heat island changes in Budapest: A comparative study based on the HMS-ALADIN and SURFEX models. Időjárás, 125(4), 521-553. https://doi.org/10.28974/idojaras.2021.4.1
Allison, R., Johnston, J., Craig, G., & Jennings, S. (2016). Airborne Optical and Thermal Remote Sensing for Wildfire Detection and Monitoring. Sensors, 16(8), 1310. https://doi.org/10.3390/s16081310
Aminipouri, M., Knudby, A. J., Krayenhoff, E. S., Zickfeld, K., & Middel, A. (2019). Modelling the impact of increased street tree cover on mean radiant temperature across Vancouver’s local climate zones. Urban Forestry & Urban Greening, 39, 9-17. https://doi.org/10.1016/j.ufug.2019.01.016
Amponsah, A. O., Daraio, J. A., & Khan, A. A. (2019). Implications of climatic variations in temporal precipitation patterns for the development of design storms in Newfoundland and Labrador. Canadian Journal of Civil Engineering, 46(12), 1128-1141. https://doi.org/10.1139/cjce-2018-0563
Anderson, V., & Gough, W. A. (2022). Nature-based cooling potential: A multi-type green infrastructure evaluation in Toronto, Ontario, Canada. International Journal of Biometeorology, 66(2), 397-410. https://doi.org/10.1007/s00484-021-02100-5
Armenakis, C., & Nirupama, N. (2014). Urban impacts of ice storms: Toronto December 2013. Natural Hazards, 74(2), 1291-1298. Scopus. https://doi.org/10.1007/s11069-014-1211-7
Asfaw, H. W., Christianson, A. C., & Watson, D. O. T. (2022). Incentives and Barriers to Homeowners’ Uptake of FireSmart® Canada’s Recommended Wildfire Mitigation Activities in the City of Fort McMurray, Alberta. Fire, 5(3), 80. https://doi.org/10.3390/fire5030080
Ashley, W. S., Zeeb, A., Haberlie, A. M., Gensini, V. A., & Michaelis, A. (2025). The Future of Snowstorms in Central and Eastern North America. International Journal of Climatology, 45(6), e8770. https://doi.org/10.1002/joc.8770
Baba, F. M., & Ge, H. (2020). Overheating risk of a single-family detached house built at different ages under current and future climate in Canada. E3S Web of Conferences, 172, 02004. https://doi.org/10.1051/e3sconf/202017202004
Ban, Y., Zhang, P., Nascetti, A., Bevington, A. R., & Wulder, M. A. (2020). Near Real-Time Wildfire Progression Monitoring with Sentinel-1 SAR Time Series and Deep Learning. Scientific Reports, 10(1), 1322. https://doi.org/10.1038/s41598-019-56967-x
Baron, J. N., Hessburg, P. F., Parisien, M.-A., Greene, G. A., Gergel, Sarah. E., & Daniels, L. D. (2024). Fuel types misrepresent forest structure and composition in interior British Columbia: A way forward. Fire Ecology, 20(1), 15. https://doi.org/10.1186/s42408-024-00249-z
BC Wildfire Service. (2023, May 12). Wildland urban interface risk class maps—Province of British Columbia. Province of British Columbia. https://www2.gov.bc.ca/gov/content/safety/wildfire-status/prevention/fire-fuel-management/wui-risk-class-maps
Bénichou, N., Adelzadeh, M, Singh, J., & Gomaa, I. (2021). National guide for wildland-urban interface fires: Guidance on hazard and exposure assessment, property protection, community resilience and emergency planning to minimize the impact of wildland-urban interface fires. National Research Council Canada = Conseil national de recherches Canada. https://nrc.canada.ca/en/certifications-evaluations-standards/codes-canada/construction-innovation/new-national-guide-wildland-urban-interface-fires
Bennett, L., Yu, Z., Wasowski, R., Selland, S., Otway, S., & Boisvert, J. (2024). Individual tree detection and classification from RGB satellite imagery with applications to wildfire fuel mapping and exposure assessments. International Journal of Wildland Fire, 33(8). https://doi.org/10.1071/WF24008
Benson, A., & McHale, M. (2024). A MICROCLIMATE MONITORING FRAMEWORK FOR UBC VANCOUVER [Recommendations for long-term research]. Social Ecological Economic Development Studies (SEEDS). https://sustain.ubc.ca/sites/default/files/seedslibrary/SEEDS%20Microclimate%20Monitoring%20Final%20Report.pdf
Berardi, U., Jandaghian, Z., & Graham, J. (2020). Effects of greenery enhancements for the resilience to heat waves: A comparison of analysis performed through mesoscale (WRF) and microscale (Envi-met) modeling. Science of The Total Environment, 747, 141300. https://doi.org/10.1016/j.scitotenv.2020.141300
Blanchard, S. (2013). Improving Thermal Comfort in Windsor, ON; Assessing Urban Parks and Playgrounds. https://www.citywindsor.ca/Documents/residents/environment/environmental-master-plan/Improving%20Thermal%20Comfort%20in%20Parks_no%20appendices.pdf
Blocken, B., Stathopoulos, T., & Carmeliet, J. (2007). CFD simulation of the atmospheric boundary layer: Wall function problems. Atmospheric Environment, 41(2), 238-252. https://doi.org/10.1016/j.atmosenv.2006.08.019
Boakye, O. F., Keneshia, H., & Jorge, G.-C. (2024). Extreme Heat in the Caribbean: Impacts on Wellbeing and Buildings Energy Infrastructure—The 2023 Summer Case. ASME Journal of Engineering for Sustainable Buildings and Cities, 5(3), 031007. https://doi.org/10.1115/1.4066382
Bouaziz, S., Hafiane, A., Canals, R., & Nedjai, R. (2024). Deep Learning for Spatio-Temporal Fusion in Land Surface Temperature Estimation: A Comprehensive Survey, Experimental Analysis, and Future Trends (arXiv:2412.16631). arXiv. https://doi.org/10.48550/arXiv.2412.16631
Bourbia, F., & Awbi, H. B. (2004). Building cluster and shading in urban canyon for hot dry climate. Renewable Energy, 29(2), 249-262. https://doi.org/10.1016/S0960-1481(03)00170-8
British Columbia Coroners Service. (2022). Extreme Heat and Human Mortality: A Review of Heat-Related Deaths in B.C. in Summer 2021.
Broström, E. (2007). Ice storm modelling in transmission system reliability calculations. Elektriska energisystem, Kungliga Tekniska högskolan.
Brousse, O., Simpson, C., Kenway, O., Martilli, A., Krayenhoff, E. S., Zonato, A., & Heaviside, C. (2023). Spatially Explicit Correction of Simulated Urban Air Temperatures Using Crowdsourced Data. Journal of Applied Meteorology and Climatology, 62(11), 1539-1572. https://doi.org/10.1175/JAMC-D-22-0142.1
Brousseau, Y., Lalonde, B., Robitaille, M.-J., Vandersmissen, M.-H., Barrette, N., Tessier, K., Gilbert, J. P., Giguère, M., Juteau, J., Lapointe, J., & Piché, S. (2023). Scientific report of the project Mapping the Vulnerability and Exposure to Extreme Heat Waves of Populations (p. 127 pages). Geography Department at Université Laval. https://vaguesdechaleur.ffgg.ulaval.ca/en/project/
Bu, J., Gan, G., Chen, J., Su, Y., Yuan, M., Gao, Y., Domingo, F., López-Ballesteros, A., Migliavacca, M., El-Madany, T. S., Gentine, P., Xiao, J., & Garcia, M. (2024). Dryland evapotranspiration from remote sensing solar-induced chlorophyll fluorescence: Constraining an optimal stomatal model within a two-source energy balance model. Remote Sensing of Environment, 303, 113999. https://doi.org/10.1016/j.rse.2024.113999
Bu, S., Smith, K. L., Masoud, F., & Sheinbaum, A. (2024). Spatial distribution of heat vulnerability in Toronto, Canada. Urban Climate, 54, 101838. https://doi.org/10.1016/j.uclim.2024.101838
Budei, B. C., Marchal, J., Nininahazwe, F., Genest, M.-A., Bour, B., & Varin, M. (2023). Cartographie des îlots de chaleur et de fraîcheur dans le Québec urbain à l’aide d’imagerie satellitaire Landsat-8/9 (2020-2021-2022) et analyse de changement (p. 52 pages). Centre d’enseignement et de recherche en foresterie de Sainte-Foy inc. (CERFO). https://open.canada.ca/data/en/dataset/533d0db2-399b-47a6-b397-0e6101e9a3a6
Bueno, B., Norford, L., Hidalgo, J., & Pigeon, G. (2013). The urban weather generator. Journal of Building Performance Simulation, 6(4), 269-281. https://doi.org/10.1080/19401493.2012.718797
Bueno, B., Roth, M., Norford, L., & Li, R. (2014). Computationally efficient prediction of canopy level urban air temperature at the neighbourhood scale. Urban Climate, 9, 35-53. https://doi.org/10.1016/j.uclim.2014.05.005
Burger, M., Gubler, M., & Brönnimann, S. (2024). High‐resolution dataset of nocturnal air temperatures in Bern, Switzerland (2007-2022). Geoscience Data Journal, gdj3.237. https://doi.org/10.1002/gdj3.237
Burnett, M., & Chen, D. (2021). The Impact of Seasonality and Land Cover on the Consistency of Relationship between Air Temperature and LST Derived from Landsat 7 and MODIS at a Local Scale: A Case Study in Southern Ontario. Land, 10(7), 672. https://doi.org/10.3390/land10070672
Bushnaq, O. M., Chaaban, A., & Al-Naffouri, T. Y. (2021). The Role of UAV-IoT Networks in Future Wildfire Detection. IEEE Internet of Things Journal, 8(23), 16984-16999. https://doi.org/10.1109/JIOT.2021.3077593
Bustinza, R., Lebel, G., Gosselin, P., Bélanger, D., & Chebana, F. (2013). Health impacts of the July 2010 heat wave in Québec, Canada. BMC Public Health, 13(1), 56. https://doi.org/10.1186/1471-2458-13-56
Byrne, B., Liu, J., Bowman, K. W., Pascolini-Campbell, M., Chatterjee, A., Pandey, S., Miyazaki, K., Van Der Werf, G. R., Wunch, D., Wennberg, P. O., Roehl, C. M., & Sinha, S. (2024). Carbon emissions from the 2023 Canadian wildfires. Nature, 633(8031), 835-839. https://doi.org/10.1038/s41586-024-07878-z
Canada Wildfire. (2021). Canada Wildfire—Mapping WUI. https://www.canadawildfire.org/mapping-wui
Canadian Climate Institute. (2024). FACT SHEET: Climate change and wildfires in Canada. Canadian Climate Institute. https://climateinstitute.ca/news/fact-sheet-wildfires/
Cannon, A. J., & Jeong, D. I. (2021). Climate-Resilient Buildings and Core Public Infrastructure 2020: An Assessment of the Impact of Climate Change on Climatic Design Data in Canada. Environment and Climate Change Canada.
Carolis, L. (2012). The Urban Heat Island Effect in Windsor, ON: An Assessment of Vulnerability and Mitigation Strategies. https://www.citywindsor.ca/Documents/residents/environment/environmental-master-plan/Improving%20Thermal%20Comfort%20in%20Parks_no%20appendices.pdf
Cavayas, F., & Baudouin, Y. (2008). Étude des biotopes urbains et périurbains de la CMM. Université du Québec à Montréal. https://cmm.qc.ca/wp-content/uploads/2020/01/volets_1_et_2.pdf
Chang, Y., & Luo, B. (2019). Bidirectional Convolutional LSTM Neural Network for Remote Sensing Image Super-Resolution. Remote Sensing, 11(20), Article 20. https://doi.org/10.3390/rs11202333
Changnon, S. A. (2003). Characteristics of ice storms in the United States. Journal of Applied Meteorology, 42(5), 630-639. Scopus. https://doi.org/10.1175/1520-0450(2003)042%253C0630:COISIT%253E2.0.CO;2
Chen, J., Jia, L., Zhang, J., Feng, Y., Zhao, X., & Tao, R. (2024). Super-Resolution for Land Surface Temperature Retrieval Images via Cross-Scale Diffusion Model Using Reference Images. Remote Sensing, 16(8), Article 8. https://doi.org/10.3390/rs16081356
Chen, L., Fang, B., Zhao, L., Zang, Y., Liu, W., Chen, Y., Wang, C., & Li, J. (2022). DeepUrbanDownscale: A physics informed deep learning framework for high-resolution urban surface temperature estimation via 3D point clouds. International Journal of Applied Earth Observation and Geoinformation, 106, 102650. https://doi.org/10.1016/j.jag.2021.102650
Chen, S., Lang, W., Li, X., Shen, C., & Fan, Q. (2018). Determining the Influence of Building Density on Heat Island Effect Using Baidu Map and Remote Sensing. Photogrammetric Engineering & Remote Sensing, 84(9), 549-558. https://doi.org/10.14358/PERS.84.9.549
Chen, S., Wong, N. H., Zhang, W., & Ignatius, M. (2023). The impact of urban morphology on the spatiotemporal dimension of estate-level air temperature: A case study in the tropics. Building and Environment, 228, 109843. https://doi.org/10.1016/j.buildenv.2022.109843
Chen, X., Hopkins, B., Wang, H., O’Neill, L., Afghah, F., Razi, A., Fulé, P., Coen, J., Rowell, E., & Watts, A. (2022). Wildland Fire Detection and Monitoring Using a Drone-Collected RGB/IR Image Dataset. IEEE Access, 10, 121301-121317. https://doi.org/10.1109/ACCESS.2022.3222805
Chen, Y., Li, J., Hu, Y., & Liu, L. (2023). Spatial and temporal characteristics of nighttime UHII based on local climate zone scheme using mobile measurement-A case study of Changsha. Building and Environment, 228, 109869. https://doi.org/10.1016/j.buildenv.2022.109869
Chen, Y., Morton, D. C., & Randerson, J. T. (2024). Remote sensing for wildfire monitoring: Insights into burned area, emissions, and fire dynamics. One Earth, 7(6), 1022-1028. https://doi.org/10.1016/j.oneear.2024.05.014
Chen, Y., Zhang, R., Alekouei, S. A., & Amani-Beni, M. (2024). Nonlinear impacts of landscape and climatological interactions on urban thermal environment during a hot and rainy summer. Ecological Indicators, 166, 112551. https://doi.org/10.1016/j.ecolind.2024.112551
Cheng, C. S., Auld, H., Li, G., Klaassen, J., & Li, Q. (2007). Possible impacts of climate change on freezing rain in south-central Canada using downscaled future climate scenarios. Natural Hazards and Earth System Sciences, 7(1), 71-87. https://doi.org/10.5194/nhess-7-71-2007
Cheng, C. S., Auld, H., Li, G., Klaassen, J., Tugwood, B., & Li, Q. (2004). An Automated Synoptic Typing Procedure to Predict Freezing Rain: An Application to Ottawa, Ontario, Canada. Weather and Forecasting, 19(4), 751-768. https://doi.org/10.1175/1520-0434(2004)019%253C0751:AASTPT%253E2.0.CO;2
Chmarycz, V., & Forsythe, K. W. (2021). Examining Wildfire Spread Variables for Assessing Forest Burn Vulnerability. GI_Forum, 1, 94-107. https://doi.org/10.1553/giscience2021_02_s94
Cholette, M., Milbrandt, J. A., Morrison, H., Kirk, S., & Lalonde, L. (2024). Secondary Ice Production Improves Simulations of Freezing Rain. Geophysical Research Letters, 51(8), e2024GL108490. https://doi.org/10.1029/2024GL108490
Cholette, M., & Thériault, J. M. (2021). Precipitation Type Distribution and Microphysical Processes During the 1998 Ice Storm Simulated Under Pseudo‐Warmer Conditions. Journal of Geophysical Research: Atmospheres, 126(8), e2020JD033577. https://doi.org/10.1029/2020JD033577
CIFFC. (2024). 2023 fire season. Canadian Interagency Forest Fire Centre.
City of Calgary. (2025). Urban Heat Map. Https://Www.Calgary.Ca. https://www.calgary.ca/content/www/en/home/environment/resources/urban-heat-map.html
City of Montreal & UQAM. (2023). Heat islands. https://donnees.montreal.ca/dataset/ilots-de-chaleur#methodology
Clarke, B., Otto, F., Stuart-Smith, R., & Harrington, L. (2022). Extreme weather impacts of climate change: An attribution perspective. Environmental Research: Climate, 1(1), 012001. https://doi.org/10.1088/2752-5295/ac6e7d
Cohen & Westhaver. (2022). An examination of the Lytton, British Columbia wildland-urban fire destruction. chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://firesmartbc.ca/wp-content/uploads/2022/05/An-examination-of-the-Lytton-BC-wildland-urban-fire-destruction.pdf
Colaninno, N., & Morello, E. (2022). Towards an operational model for estimating day and night instantaneous near-surface air temperature for urban heat island studies: Outline and assessment. Urban Climate, 46, 101320. https://doi.org/10.1016/j.uclim.2022.101320
Collins, L., Guindon, L., Lloyd, C., Taylor, S. W., & White, S. (2024). Fractional cover mapping of wildland-urban interface fuels using Landsat, Sentinel 1 and PALSAR imagery. Remote Sensing of Environment, 308, 114189. https://doi.org/10.1016/j.rse.2024.114189
Corning, S., Krasovskiy, A., Kiparisov, P., San Pedro, J., Viana, C. M., & Kraxner, F. (2024). Anticipating Future Risks of Climate-Driven Wildfires in Boreal Forests. Fire, 7(4), 144. https://doi.org/10.3390/fire7040144
CSA S6:19, Canadian Highway Bridge Design Code. (2019). CSA Group. https://www.csagroup.org/canadian-highway-bridge-design-code/?srsltid=AfmBOoqb0rEQT7MO-lpCHBm5WIrNEnznSm0ld65AC2PFj-RBgTtOQibC
CVC. (2024). Mapping Urban Heat Island effect with satellite thermal imaging in the Credit River Watershed. Credit Valley Conservation.
De Munck, C., Pigeon, G., Masson, V., Meunier, F., Bousquet, P., Tréméac, B., Merchat, M., Poeuf, P., & Marchadier, C. (2013). How much can air conditioning increase air temperatures for a city like Paris, France? International Journal of Climatology, 33(1), 210-227. https://doi.org/10.1002/joc.3415
De Ridder, K., Lauwaet, D., & Maiheu, B. (2015). UrbClim - A fast urban boundary layer climate model. Urban Climate, 12, 21-48. https://doi.org/10.1016/j.uclim.2015.01.001
Di Bernardino, A., Falasca, S., Iannarelli, A. M., Casadio, S., & Siani, A. M. (2023). Effect of heatwaves on urban sea breeze, heat island intensity, and outdoor thermo-hygrometric comfort in Rome (Italy). Urban Climate, 52, 101735. https://doi.org/10.1016/j.uclim.2023.101735
Dimitrov, S., Iliev, M., Borisova, B., Semerdzhieva, L., & Petrov, S. (2024). A Methodological Framework for High-Resolution Surface Urban Heat Island Mapping: Integration of UAS Remote Sensing, GIS, and the Local Climate Zoning Concept. Remote Sensing, 16(21), 4007. https://doi.org/10.3390/rs16214007
Doiron, D., Setton, E. M., Syer, J., Redivo, A., McKee, A., Noaeen, M., Patel, P., Booth, G. L., Brauer, M., Fuller, D., Kestens, Y., Rosella, L. C., Stieb, D., Villeneuve, P. J., & Brook, J. R. (2024). HealthyPlan.City: A Web Tool to Support Urban Environmental Equity and Public Health in Canadian Communities. Journal of Urban Health, 101(3), 497-507. https://doi.org/10.1007/s11524-024-00855-x
Dong, R., Wurm, M., & Taubenböck, H. (2022). Seasonal and Diurnal Variation of Land Surface Temperature Distribution and Its Relation to Land Use/Land Cover Patterns. International Journal of Environmental Research and Public Health, 19(19), 12738. https://doi.org/10.3390/ijerph191912738
Dore, M. H. I. (2003). Forecasting the Conditional Probabilities of Natural Disasters in Canada as a Guide for Disaster Preparedness.
Dorigon, L. P., & Amorim, M. C. D. C. T. (2019). Spatial modeling of an urban Brazilian heat island in a tropical continental climate. Urban Climate, 28, 100461. https://doi.org/10.1016/j.uclim.2019.100461
Dos Santos, R. S. (2020). Estimating spatio-temporal air temperature in London (UK) using machine learning and earth observation satellite data. International Journal of Applied Earth Observation and Geoinformation, 88, 102066. https://doi.org/10.1016/j.jag.2020.102066
Doulos, L., Santamouris, M., & Livada, I. (2004). Passive cooling of outdoor urban spaces. The role of materials. Solar Energy, 77(2), 231-249. https://doi.org/10.1016/j.solener.2004.04.005
Duan, Y., Agrawal, S., Sanchez-Azofeifa, A., & Welegedara, N. (2024). Urban Heat Island Effect in Canada: Insights from Five Major Cities. https://doi.org/10.2139/ssrn.4965331
Duffy, K., Vandal, T. J., & Nemani, R. R. (2022). Multisensor Machine Learning to Retrieve High Spatiotemporal Resolution Land Surface Temperature. IEEE Access, 10, 89221-89231. IEEE Access. https://doi.org/10.1109/ACCESS.2022.3198673
Dutta, K., Basu, D., & Agrawal, S. (2022). Evaluation of seasonal variability in magnitude of urban heat islands using local climate zone classification and surface albedo. International Journal of Environmental Science and Technology, 19(9), 8677-8698. https://doi.org/10.1007/s13762-021-03602-w
ECCC. (2019, April 2). Canada’s climate is warming twice as fast as global average [News releases]. https://www.canada.ca/en/environment-climate-change/news/2019/04/canadas-climate-is-warming-twice-as-fast-as-global-average.html
ECCC. (2025). Canadian environmental sustainability indicators: Extreme heat events. Environment and Climate Change Canada = Environnement et changement climatique Canada.
ECCC, E. and C. C. (2010, July 26). Criteria for public weather alerts [Education and awareness]. ECCC. https://www.canada.ca/en/environment-climate-change/services/types-weather-forecasts-use/public/criteria-alerts.html
Ejiagha, I. R., Ahmed, M. R., Dewan, A., Gupta, A., Rangelova, E., & Hassan, Q. K. (2022). Urban warming of the two most populated cities in the Canadian Province of Alberta, and its influencing factors. Sensors, 22(8), 2894.
Eldesoky, A. H. M., Colaninno, N., & Morello, E. (2021). High-resolution air temperature mapping in a data-scarce, arid area by means of low-cost mobile measurements and machine learning. Journal of Physics: Conference Series, 2042(1), 012045. https://doi.org/10.1088/1742-6596/2042/1/012045
Elmarakby, E., Khalifa, M., Elshater, A., & Afifi, S. (2022). Tailored methods for mapping urban heat islands in Greater Cairo Region. Ain Shams Engineering Journal, 13(2), 101545. https://doi.org/10.1016/j.asej.2021.06.030
Emami Tabrizi, S., Hippi, M., Sullivan, J., Farghaly, H., & Gharabaghi, B. (2025). Real-Time Monitoring and Forecasting Ice Layer Thickness Growth Rate and Grip Loss on a Road Network During Winter Storm Events. Transportation Research Record: Journal of the Transportation Research Board, 2679(3), 189-200. https://doi.org/10.1177/03611981241275580
Erfani, R., Chouinard, L., & Cloutier, L. (2014). De-aggregated hazard of freezing rain events. Atmospheric Research, 145-146, 297-312. https://doi.org/10.1016/j.atmosres.2014.03.024
Eshetie, S. M. (2024). Exploring urban land surface temperature using spatial modelling techniques: A case study of Addis Ababa city, Ethiopia. Scientific Reports, 14(1), 6323. https://doi.org/10.1038/s41598-024-55121-6
Estrada, F., Botzen, W. J. W., & Tol, R. S. J. (2017). A global economic assessment of city policies to reduce climate change impacts. Nature Climate Change, 7(6), 403-406. https://doi.org/10.1038/nclimate3301
Fan, J. Y., & Sengupta, R. (2022). Montreal’s environmental justice problem with respect to the urban heat island phenomenon. Canadian Geographies / Géographies Canadiennes, 66(2), 307-321. https://doi.org/10.1111/cag.12690
Fenner, D., Bechtel, B., Demuzere, M., Kittner, J., & Meier, F. (2021). CrowdQC+—A Quality-Control for Crowdsourced Air-Temperature Observations Enabling World-Wide Urban Climate Applications. Frontiers in Environmental Science, 9, 720747. https://doi.org/10.3389/fenvs.2021.720747
Fenner, D., Holtmann, A., Meier, F., Langer, I., & Scherer, D. (2019). Contrasting changes of urban heat island intensity during hot weather episodes. Environmental Research Letters, 14(12), 124013. https://doi.org/10.1088/1748-9326/ab506b
Filonchyk, M., Peterson, M. P., Zhang, L., Zhang, L., & He, Y. (2025). Estimating air pollutant emissions from the 2024 wildfires in Canada and the impact on air quality. Gondwana Research, 140, 194-204. https://doi.org/10.1016/j.gr.2024.12.012
FireSmart Canada. (2025a). The Home Ignition Zone - FireSmart Canada. https://firesmartcanada.ca/about-firesmart-2/the-home-ignition-zone/
FireSmart Canada. (2025b). The Seven FireSmart Disciplines. https://firesmartcanada.ca/about-firesmart-2/the-seven-firesmart-disciplines/
Frustaci, G., Pilati, S., Lavecchia, C., & Montoli, E. M. (2022). High-Resolution Gridded Air Temperature Data for the Urban Environment: The Milan Data Set. Forecasting, 4(1), 238-261. https://doi.org/10.3390/forecast4010014
Gaudreau, J., Perez, L., & Drapeau, P. (2016). BorealFireSim: A GIS-based cellular automata model of wildfires for the boreal forest of Quebec in a climate change paradigm. Ecological Informatics, 32, 12-27. https://doi.org/10.1016/j.ecoinf.2015.12.006
Gaur, A., Bénichou, N., Armstrong, M., & Hill, F. (2021). Potential future changes in wildfire weather and behavior around 11 Canadian cities. Urban Climate, 35, 100735. https://doi.org/10.1016/j.uclim.2020.100735
Gaur, A., Eichenbaum, M. K., & Simonovic, S. P. (2018). Analysis and modelling of surface Urban Heat Island in 20 Canadian cities under climate and land-cover change. Journal of Environmental Management, 206, 145-157. https://doi.org/10.1016/j.jenvman.2017.10.002
Gaur, A., & Lacasse, M. (2022). Climate Data to Support the Adaptation of Buildings to Climate Change in Canada. Data, 7(4), 42. https://doi.org/10.3390/data7040042
Ghazal, T., Aboutabikh, M., Aboshosha, H., & Abdelwahab, M. (2022a). Thunderstorm wind load evaluation on storm shelters using wind tunnel testing. Engineering Structures, 262, 114350. https://doi.org/10.1016/j.engstruct.2022.114350
Ghazal, T., Aboutabikh, M., Aboshosha, H., & Abdelwahab, M. (2022b). Thunderstorm wind load evaluation on storm shelters using wind tunnel testing. Engineering Structures, 262, 114350. https://doi.org/10.1016/j.engstruct.2022.114350
Ghazal, T., Elshaer, A., & Aboshosha, H. (2022). Wind load evaluation on storm shelters using wind tunnel testing and North American design codes. Engineering Structures, 254, 113821. https://doi.org/10.1016/j.engstruct.2021.113821
Girardin, M. P., & Terrier, A. (2015). Mitigating risks of future wildfires by management of the forest composition: An analysis of the offsetting potential through boreal Canada. Climatic Change, 130(4), 587-601. https://doi.org/10.1007/s10584-015-1373-7
Gong, Y., Liao, P., Zhang, X., Zhang, L., Chen, G., Zhu, K., Tan, X., & Lv, Z. (2021). Enlighten-GAN for Super Resolution Reconstruction in Mid-Resolution Remote Sensing Images. Remote Sensing, 13(6), Article 6. https://doi.org/10.3390/rs13061104
Government Alberta. (2022, June 28). Alberta wildland urban interface guidelines—2022 Alberta wildland urban interface (WUI) guidelines—Open Government. https://open.alberta.ca/publications/alberta-wildland-urban-interface-guidelines/resource/1d96f355-662c-4098-81df-a3ecacdc0b14?
Graham, D., Vanos, J., Kenny, N., & Brown, R. (2017). Modeling the Effects of Urban Design on Emergency Medical Response Calls during Extreme Heat Events in Toronto, Canada. International Journal of Environmental Research and Public Health, 14(7), 778. https://doi.org/10.3390/ijerph14070778
Granero-Belinchon, C., Michel, A., Lagouarde, J.-P., Sobrino, J. A., & Briottet, X. (2019). Night Thermal Unmixing for the Study of Microscale Surface Urban Heat Islands with TRISHNA-Like Data. Remote Sensing, 11(12), 1449. https://doi.org/10.3390/rs11121449
Grimmond, C. S. B., Blackett, M., Best, M. J., Barlow, J., Baik, J.-J., Belcher, S. E., Bohnenstengel, S. I., Calmet, I., Chen, F., Dandou, A., Fortuniak, K., Gouvea, M. L., Hamdi, R., Hendry, M., Kawai, T., Kawamoto, Y., Kondo, H., Krayenhoff, E. S., Lee, S.-H., … Zhang, N. (2010). The international urban energy balance models comparison project: First results from phase 1. Journal of Applied Meteorology and Climatology, 49(6), 1268-1292. https://doi.org/10.1175/2010JAMC2354.1
Guddanti, K. P., Bharati, A. K., Nekkalapu, S., Mcwherter, J., & Morris, S. L. (2025). A Comprehensive Review: Impacts of Extreme Temperatures Due to Climate Change on Power Grid Infrastructure and Operation. IEEE Access, 13, 49375-49415. https://doi.org/10.1109/ACCESS.2025.3548531
Guha, T. K., & Kopp, G. A. (2014). Storm duration effects on roof-to-wall-connection failures of a residential, wood-frame, gable roof. Journal of Wind Engineering and Industrial Aerodynamics, 133, 101-109. https://doi.org/10.1016/j.jweia.2014.08.005
Harlan, S. L., Brazel, A. J., Prashad, L., Stefanov, W. L., & Larsen, L. (2006). Neighborhood microclimates and vulnerability to heat stress. Social Science & Medicine, 63(11), 2847-2863. https://doi.org/10.1016/j.socscimed.2006.07.030
Harrison, S., Silver, A., & Doberstein, B. (2015). Post-storm damage surveys of tornado hazards in Canada: Implications for mitigation and policy. International Journal of Disaster Risk Reduction, 13, 427-440. https://doi.org/10.1016/j.ijdrr.2015.08.005
Health Canada. (2022, January 24). Extreme heat events: Health risks and who is at risk of extreme heat events [Guidance]. https://www.canada.ca/en/health-canada/services/climate-change-health/extreme-heat/who-is-at-risk.html
Heaviside, C., Vardoulakis, S., & Cai, X.-M. (2016). Attribution of mortality to the urban heat island during heatwaves in the West Midlands, UK. Environmental Health, 15(S1), S27. https://doi.org/10.1186/s12940-016-0100-9
Henn, K. A., & Peduzzi, A. (2024). Surface Heat Monitoring with High-Resolution UAV Thermal Imaging: Assessing Accuracy and Applications in Urban Environments. Remote Sensing, 16(5), 930. https://doi.org/10.3390/rs16050930
Herla, F., Haegeli, P., Horton, S., & Mair, P. (2025). A quantitative module of avalanche hazard - comparing forecaster assessments of storm and persistent slab avalanche problems with information derived from distributed snowpack simulations. Natural Hazards and Earth System Sciences, 25(2), 625-646. https://doi.org/10.5194/nhess-25-625-2025
Ho, H. C., Knudby, A., Chi, G., Aminipouri, M., & Lai, D. Y.-F. (2018). Spatiotemporal analysis of regional socio-economic vulnerability change associated with heat risks in Canada. Applied Geography, 95, 61-70. https://doi.org/10.1016/j.apgeog.2018.04.015
Ho, H. C., Knudby, A., Sirovyak, P., Xu, Y., Hodul, M., & Henderson, S. B. (2014). Mapping maximum urban air temperature on hot summer days. Remote Sensing of Environment, 154, 38-45. https://doi.org/10.1016/j.rse.2014.08.012
Ho, H. C., Knudby, A., Xu, Y., Hodul, M., & Aminipouri, M. (2016). A comparison of urban heat islands mapped using skin temperature, air temperature, and apparent temperature (Humidex), for the greater Vancouver area. Science of The Total Environment, 544, 929-938. https://doi.org/10.1016/j.scitotenv.2015.12.021
Ho, J. Y., Shi, Y., Lau, K. K. L., Ng, E. Y. Y., Ren, C., & Goggins, W. B. (2023). Urban heat island effect-related mortality under extreme heat and non-extreme heat scenarios: A 2010-2019 case study in Hong Kong. Science of The Total Environment, 858, 159791. https://doi.org/10.1016/j.scitotenv.2022.159791
Howard, L. (1818). The Climate of London: Deduced from Meteorological Observations, Made at Different Places in the Neighbourhood of the Metropolis.
Hu, L., & Uejio, C. (2024). Ground Urban Heat Island: Strengthening the Connection Between Spaceborne Thermal Observations and Urban Heat Risk Management. GeoHealth, 8(7), e2024GH001114. https://doi.org/10.1029/2024GH001114
Hu, Y., Yue, X., & Tian, C. (2024). Climatic drivers of the Canadian wildfire episode in 2023. Atmospheric and Oceanic Science Letters, 17(4), 100483. https://doi.org/10.1016/j.aosl.2024.100483
Huang, F., Zhan, W., Liu, Z., Du, H., Dong, P., & Wang, X. (2024). Satellite-based estimation of monthly mean hourly 1-km urban air temperature using a diurnal temperature cycle model. Remote Sensing of Environment, 315, 114453. https://doi.org/10.1016/j.rse.2024.114453
Huryn, S., Gough, W., Butler, K., & Mohsin, T. (2015). An Evaluation of Thunderstorm Observations in Southern Ontario Using Automated Lightning Detection Data. Journal of Applied Meteorology and Climatology, 54(9), 1837-1846. https://doi.org/10.1175/JAMC-D-15-0089.1
Hydro Québec. (2023). Hydro-Québec. chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://www.hydroquebec.com/data/documents-donnees/pdf/annual-report-2023-hydro-quebec.pdf
ibc. Canada. (2024). Severe Weather in 2023 Caused Over $3.1 Billion in Insured Damage. https://www.ibc.ca/news-insights/news/severe-weather-in-2023-caused-over-3-1-billion-in-insured-damage
Ibsen, P. C., Jenerette, G. D., Dell, T., Bagstad, K. J., & Diffendorfer, J. E. (2022). Urban landcover differentially drives day and nighttime air temperature across a semi-arid city. Science of The Total Environment, 829, 154589. https://doi.org/10.1016/j.scitotenv.2022.154589
Innocenti, L., Blanco, G., Barco, L., & Rossi, C. (2024). Maximum Temperature Prediction Using Remote Sensing Data Via Convolutional Neural Network. 2024 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv), 427-431. https://doi.org/10.1109/MetroLivEnv60384.2024.10615374
Insurance Bureau of Canada. (2023). https://www.ibc.ca/news-insights/news/severe-weather-in-2022-caused-3-1-billion-in-insured-damage-making-it-the-3rd-worst-year-for-insured-damage-in-canadian-history?
Intini, P., Ronchi, E., Gwynne, S., & Bénichou, N. (2020). Guidance on Design and Construction of the Built Environment Against Wildland Urban Interface Fire Hazard: A Review. Fire Technology, 56(5), 1853-1883. https://doi.org/10.1007/s10694-019-00902-z
Jain, P., Coogan, S. C. P., Subramanian, S. G., Crowley, M., Taylor, S., & Flannigan, M. D. (2020). A review of machine learning applications in wildfire science and management. Environmental Reviews, 28(4), 478-505. https://doi.org/10.1139/er-2020-0019
Jamali, A., Snaiki, R., & Rahem, A. (2025). Towards accurate ice accretion and galloping risk maps for Quebec: A data-driven approach. Cold Regions Science and Technology, 233, 104460. https://doi.org/10.1016/j.coldregions.2025.104460
Jandaghian, Z., & Akbari, H. (2018). The effects of increasing surface reflectivity on heat-related mortality in Greater Montreal Area, Canada. Urban Climate, 25, 135-151. https://doi.org/10.1016/J.UCLIM.2018.06.002
Jandaghian, Z., & Akbari, H. (2021). Increasing urban albedo to reduce heat-related mortality in Toronto and Montreal, Canada. Energy and Buildings, 237, 110697. https://doi.org/10.1016/j.enbuild.2020.110697
Jandaghian, Z., & Berardi, U. (2020a). Analysis of the cooling effects of higher albedo surfaces during heat waves coupling the Weather Research and Forecasting model with building energy models. Energy and Buildings, 207, 109627. https://doi.org/10.1016/j.enbuild.2019.109627
Jandaghian, Z., & Berardi, U. (2020b). Comparing urban canopy models for microclimate simulations in Weather Research and Forecasting Models. Sustainable Cities and Society, 55, 102025. https://doi.org/10.1016/j.scs.2020.102025
Jandaghian, Z., Touchaei, A. G., & Akbari, H. (2018). Sensitivity analysis of physical parameterizations in WRF for urban climate simulations and heat island mitigation in Montreal. Urban Climate, 24, 577-599. https://doi.org/10.1016/j.uclim.2017.10.004
Jeong, D. I., Cannon, A. J., & Zhang, X. (2019). Projected changes to extreme freezing precipitation and design ice loads over North America based on a large ensemble of Canadian regional climate model simulations. Natural Hazards and Earth System Sciences, 19(4), 857-872. https://doi.org/10.5194/nhess-19-857-2019
Jhun, I., Mata, D. A., Nordio, F., Lee, M., Schwartz, J., & Zanobetti, A. (2017). Ambient Temperature and Sudden Infant Death Syndrome in the United States: Epidemiology, 28(5), 728-734. https://doi.org/10.1097/EDE.0000000000000703
Ji, Y., Peng, Y., Tang, H., Li, Z., Xia, Y., & Feng, T. (2024). How do heat waves affect the relationship between built environment patches of different compactness and land surface temperature? Building and Environment, 266, 112044. https://doi.org/10.1016/j.buildenv.2024.112044
Jiang, T., Krayenhoff, E. S., Martilli, A., Nazarian, N., Stone, B., & Voogt, J. A. (2025). Prioritizing urban heat adaptation infrastructure based on multiple outcomes: Comfort, health, and energy. Proceedings of the National Academy of Sciences, 122(19), e2411144122. https://doi.org/10.1073/pnas.2411144122
Joe, P., Belair, S., Bernier, N. B., Bouchet, V., Brook, J. R., Brunet, D., Burrows, W., Charland, J.-P., Dehghan, A., Driedger, N., Duhaime, C., Evans, G., Filion, A.-B., Frenette, R., De Grandpré, J., Gultepe, I., Henderson, D., Herdt, A., Hilker, N., … Yip, T. (2018). The Environment Canada Pan and Parapan American Science Showcase Project. Bulletin of the American Meteorological Society, 99(5), 921-953. https://doi.org/10.1175/BAMS-D-16-0162.1
Johnson, L. (2021). Alberta saw spike in reported deaths during heatwave, causes still under investigation. Edmonton Journal. https://edmontonjournal.com/news/local-news/alberta-saw-spike-in-reported-deaths-during-heatwave-causes-still-under-investigation
Johnston, L. M., & Flannigan, M. D. (2018). Mapping Canadian wildland fire interface areas. International Journal of Wildland Fire, 27(1), 1-14. https://doi.org/10.1071/WF16221
Katal, A., Leroyer, S., Zou, J., Nikiema, O., Albettar, M., Belair, S., & Wang, L. (Leon). (2023). Outdoor heat stress assessment using an integrated multi-scale numerical weather prediction system: A case study of a heatwave in Montreal. Science of The Total Environment, 865, 161276. https://doi.org/10.1016/j.scitotenv.2022.161276
Kawakubo, S., Arata, S., Demizu, Y., Kamata, T., Narumi, D., Asawa, T., & Ihara, T. (2023). Visualization of urban roadway surface temperature by applying deep learning to infrared images from mobile measurements. Sustainable Cities and Society, 99, 104991. https://doi.org/10.1016/j.scs.2023.104991
Kelly Turner, V., Rogers, Morgan L., Zhang, Yujia, Middel, Ariane, Schneider, Florian A., Ocón, Jonathan P., Seeley, Megs, & and Dialesandro, J. (2022). More than surface temperature: Mitigating thermal exposure in hyper-local land system. Journal of Land Use Science, 17(1), 79-99. https://doi.org/10.1080/1747423X.2021.2015003
Kennedy, E. B. (2020). Predictive rebound & technologies of engagement: Science, technology, and communities in wildfire management. Journal of Responsible Innovation, 7(sup1), 104-111. https://doi.org/10.1080/23299460.2020.1844954
Kim, D.-H., Park, K., Baik, J.-J., Jin, H.-G., & Han, B.-S. (2024). Contrasting interactions of urban heat islands with dry and moist heat waves and their implications for urban heat stress. Urban Climate, 56, 102050. https://doi.org/10.1016/j.uclim.2024.102050
Kosatsky, T., Henderson, S. B., & Pollock, S. L. (2012). Shifts in Mortality During a Hot Weather Event in Vancouver, British Columbia: Rapid Assessment With Case-Only Analysis. American Journal of Public Health, 102(12), 2367-2371. https://doi.org/10.2105/AJPH.2012.300670
Kumar, D., & Shekhar, S. (2015). Statistical analysis of land surface temperature-vegetation indexes relationship through thermal remote sensing. Ecotoxicology and Environmental Safety, 121, 39-44. https://doi.org/10.1016/j.ecoenv.2015.07.004
Kuo, C.-C., & Gan, T. Y. (2015). Risk of Exceeding Extreme Design Storm Events under Possible Impact of Climate Change. Journal of Hydrologic Engineering, 20(12), 04015038. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001228
Kuras, E. R., Hondula, D. M., & Brown-Saracino, J. (2015). Heterogeneity in individually experienced temperatures (IETs) within an urban neighborhood: Insights from a new approach to measuring heat exposure. International Journal of Biometeorology, 59(10), 1363-1372. https://doi.org/10.1007/s00484-014-0946-x
Kurn, D. M., Bretz, S. E., Huang, B., & Akbari, H. (1994). The potential for reducing urban air temperatures and energy consumption through vegetative cooling (LBL--35320, 10180633; p. LBL--35320, 10180633). https://doi.org/10.2172/10180633
Lac, C., Chaboureau, J.-P., Masson, V., Pinty, J.-P., Tulet, P., Escobar, J., Leriche, M., Barthe, C., Aouizerats, B., Augros, C., Aumond, P., Auguste, F., Bechtold, P., Berthet, S., Bielli, S., Bosseur, F., Caumont, O., Cohard, J.-M., Colin, J., … Wautelet, P. (2018). Overview of the Meso-NH model version 5.4 and its applications. Geoscientific Model Development, 11(5), 1929-1969. https://doi.org/10.5194/gmd-11-1929-2018
Lamothe, F., Roy, M., & Racine-Hamel, S.-É. (2019). Enquête épidémiologique—Vague de chaleur à l’été 2018 à Montréal.
Lasky, E., Costello, S., Ndovu, A., Aguilera, R., Weiser, S. D., & Benmarhnia, T. (2024). The health benefits of reducing micro-heat islands: A 22-year analysis of the impact of urban temperature reduction on heat-related illnesses in California’s major cities. Science of The Total Environment, 949, 175284. https://doi.org/10.1016/j.scitotenv.2024.175284
Lauwaet, D., Berckmans, J., Hooyberghs, H., Wouters, H., Driesen, G., Lefebre, F., & De Ridder, K. (2024). High resolution modelling of the urban heat island of 100 European cities. Urban Climate, 54, 101850. https://doi.org/10.1016/j.uclim.2024.101850
Le Roy, B., Dixon, K. W., & Adams-Smith, D. (2024). High-resolution urban climate simulations for heat and health applications in Philadelphia. Urban Climate, 57, 102114. https://doi.org/10.1016/j.uclim.2024.102114
Lee, J., & Dessler, A. E. (2024). Improved Surface Urban Heat Impact Assessment Using GOES Satellite Data: A Comparative Study With ERA-5. Geophysical Research Letters, 51(1), e2023GL107364. https://doi.org/10.1029/2023GL107364
Lee, S.-B., Kil, S.-H., Yun, Y.-J., & Choi, Y. (2022). An Analysis of Surface Temperature Changes for Urban Green Space using Unmanned Aerial Vehicles. Journal of People, Plants, and Environment, 25(6), 685-701. https://doi.org/10.11628/ksppe.2022.25.6.685
Lepore, C., Abernathey, R., Henderson, N., Allen, J. T., & Tippett, M. K. (2021). Future Global Convective Environments in CMIP6 Models. Earth’s Future, 9(12), e2021EF002277. https://doi.org/10.1029/2021EF002277
Leroyer, S., Bélair, S., Souvanlasy, V., Vallée, M., Pellerin, S., & Sills, D. (2022). Summertime Assessment of an Urban-Scale Numerical Weather Prediction System for Toronto. Atmosphere, 13(7), 1030. https://doi.org/10.3390/atmos13071030
Lesnikowski, A. (2014). Adaptation to urban heat island effect in Vancouver, BC: a case study in analyzing vulnerability and adaptation opportunities. Vancouver: University of British Columbia Library. https://open.library.ubc.ca/soa/cIRcle/collections/graduateresearch/310/items/1.0075852
Li, D., & Bou-Zeid, E. (2013). Synergistic Interactions between Urban Heat Islands and Heat Waves: The Impact in Cities Is Larger than the Sum of Its Parts. Journal of Applied Meteorology and Climatology, 52(9), 2051-2064. https://doi.org/10.1175/JAMC-D-13-02.1
Li, Y., Schubert, S., Kropp, J. P., & Rybski, D. (2020). On the influence of density and morphology on the Urban Heat Island intensity. Nature Communications, 11(1), 2647. https://doi.org/10.1038/s41467-020-16461-9
Li, Y., Yang, T., Zhao, G., Ma, C., Yan, Y., Xu, Y., Wang, L., & Wang, L. (2024). A systematic review of studies involving canopy layer urban heat island: Monitoring and associated factors. Ecological Indicators, 158. Scopus. https://doi.org/10.1016/j.ecolind.2023.111424
Li, Z.-L., Wu, H., Duan, S.-B., Zhao, W., Ren, H., Liu, X., Leng, P., Tang, R., Ye, X., Zhu, J., Sun, Y., Si, M., Liu, M., Li, J., Zhang, X., Shang, G., Tang, B.-H., Yan, G., & Zhou, C. (2023). Satellite Remote Sensing of Global Land Surface Temperature: Definition, Methods, Products, and Applications. Reviews of Geophysics, 61(1), e2022RG000777. https://doi.org/10.1029/2022RG000777
Liu, L., Shao, W., & Zhu, D. Z. (2020). Experimental Study on Stormwater Geyser in Vertical Shaft above Junction Chamber. Journal of Hydraulic Engineering, 146(2), 04019055. https://doi.org/10.1061/(ASCE)HY.1943-7900.0001660
Liu, P., Reed, K. A., Zhao, M., Garner, S. T., Lau, N.-C., Silvers, L. G., & Colle, B. A. (2025). Record-breaking persistent high-pressure systems fueled unprecedented Canadian wildfire disasters in 2023. Environmental Research Communications, 7(4), 041005. https://doi.org/10.1088/2515-7620/adc6de
Lu, H., Gaur, A., Krayenhoff, E. S., Jandaghian, Z., Lacasse, M., & Moore, T. (2023). Thermal effects of cool roofs and urban vegetation during extreme heat events in three Canadian regions. Sustainable Cities and Society, 99, 104925. https://doi.org/10.1016/j.scs.2023.104925
Ma, W. G. (2024). Heat Inequity and Community Vulnerability in Toronto. https://utoronto.scholaris.ca/server/api/core/bitstreams/3d4f6264-7678-41ae-85fd-b9fe6acbaee6/content
MacMillan, R., Sun, L., & Taylor, S. W. (2022). Modeling Individual Extended Attack Wildfire Suppression Expenditures in British Columbia. Forest Science, 68(4), 376-388. https://doi.org/10.1093/forsci/fxac024
Marquès, E., Masson, V., Naveau, P., Mestre, O., Dubreuil, V., & Richard, Y. (2022). Urban Heat Island Estimation from Crowdsensing Thermometers Embedded in Personal Cars. Bulletin of the American Meteorological Society, 103(4), E1098-E1113. https://doi.org/10.1175/BAMS-D-21-0174.1
Marshall, G., Thompson, D., Anderson, K., Simpson, B., Linn, R., & Schroeder, D. (2020). The Impact of Fuel Treatments on Wildfire Behavior in North American Boreal Fuels: A Simulation Study Using FIRETEC. Fire, 3(2), 18. https://doi.org/10.3390/fire3020018
Martin, M., Ramani, V., & Miller, C. (2024). InfraRed Investigation in Singapore (IRIS) Observatory: Urban heat island contributors and mitigators analysis using neighborhood-scale thermal imaging. Energy and Buildings, 307, 113973. https://doi.org/10.1016/j.enbuild.2024.113973
Masson, V. (2000). A Physically-Based Scheme for The Urban Energy Budget In Atmospheric Models. Boundary-Layer Meteorology, 94(3), 357-397. https://doi.org/10.1023/A:1002463829265
Masson, V., Grimmond, C. S. B., & Oke, T. R. (2002). Evaluation of the Town Energy Balance (TEB) Scheme with Direct Measurements from Dry Districts in Two Cities. Journal of Applied Meteorology, 41(10), 1011-1026. https://doi.org/10.1175/1520-0450(2002)041%253C1011:EOTTEB%253E2.0.CO;2
Masutomi, Y., Sato, Y., Higuchi, A., Takami, A., & Nakajima, T. (2019). The effects of citizen-driven urban forestry on summer high air temperatures over the Tokyo metropolitan area. Journal of Agricultural Meteorology, 75(3), 144-152. https://doi.org/10.2480/agrmet.D-18-00047
McBean, G., Kovacs, P., Voogt, J., Kopp, G., & Guilbault, S. (2021). Building Climate Resilient Communities: Living Within the Earth’s Carrying Capacity.
McDonald, J. R. (2001). T. Theodore Fujita: His Contribution to Tornado Knowledge through Damage Documentation and the Fujita Scale. Bulletin of the American Meteorological Society, 82(1), 63-72. https://doi.org/10.1175/1520-0477(2001)000%253C0063:TTFHCT%253E2.3.CO;2
Mentaschi, L., Duveiller, G., Zulian, G., Corbane, C., Pesaresi, M., Maes, J., Stocchino, A., & Feyen, L. (2022). Global long-term mapping of surface temperature shows intensified intra-city urban heat island extremes. Global Environmental Change, 72, 102441. https://doi.org/10.1016/j.gloenvcha.2021.102441
Mihăilă, D., Bistricean, P.-I., Sfîcă, L., Horodnic, V.-D., Prisăcariu, A., & Amihăesei, V.-A. (2024). Summer Discrepancies between 2 m Air Temperature and Landsat LST in Suceava City, Northeastern Romania. Remote Sensing, 16(16), 2967. https://doi.org/10.3390/rs16162967
Mirzaei, M., Bertazzon, S., & Couloigner, I. (2018). Modeling Wildfire Smoke Pollution by Integrating Land Use Regression and Remote Sensing Data: Regional Multi-Temporal Estimates for Public Health and Exposure Models. Atmosphere, 9(9), 335. https://doi.org/10.3390/atmos9090335
Misslin, R., Vaguet, Y., Vaguet, A., & Daudé, É. (2018). Estimating air temperature using MODIS surface temperature images for assessing Aedes aegypti thermal niche in Bangkok, Thailand. Environmental Monitoring and Assessment, 190(9), 537. https://doi.org/10.1007/s10661-018-6875-0
Mora, C., Dousset, B., Caldwell, I. R., Powell, F. E., Geronimo, R. C., Bielecki, C. R., Counsell, C. W. W., Dietrich, B. S., Johnston, E. T., Louis, L. V., Lucas, M. P., McKenzie, M. M., Shea, A. G., Tseng, H., Giambelluca, T. W., Leon, L. R., Hawkins, E., & Trauernicht, C. (2017). Global risk of deadly heat. Nature Climate Change, 7(7), 501-506. https://doi.org/10.1038/nclimate3322
Mortezazadeh, M., Jandaghian, Z., & Wang, L. L. (2021). Integrating CityFFD and WRF for modeling urban microclimate under heatwaves. Sustainable Cities and Society, 66, 102670. https://doi.org/10.1016/j.scs.2020.102670
MOS, mos. org. (2019, July 30). Wicked Hot Boston | Museum of Science. https://www.mos.org/case-study/wicked-hot-boston
Muffly, J., & Birchall, S. J. (2023). Key elements of defensible space land use bylaw provisions in wildland-urban interface municipalities of Alberta, Canada. International Journal of Disaster Risk Reduction, 96, 103988. https://doi.org/10.1016/j.ijdrr.2023.103988
Mumma, M. A., Bevington, A. R., Marshall, S., & Gillingham, M. P. (2024). Delineating wildfire burns and regrowth using satellite imagery to assess moose (Alces alces) spatial responses to burns. Ecosphere, 15(3), e4793. https://doi.org/10.1002/ecs2.4793
Muñoz-Sabater, J., Dutra, E., Agustí-Panareda, A., Albergel, C., Arduini, G., Balsamo, G., Boussetta, S., Choulga, M., Harrigan, S., Hersbach, H., Martens, B., Miralles, D. G., Piles, M., Rodríguez-Fernández, N. J., Zsoter, E., Buontempo, C., & Thépaut, J.-N. (2021). ERA5-Land: A state-of-the-art global reanalysis dataset for land applications. Earth System Science Data, 13(9), 4349-4383. https://doi.org/10.5194/essd-13-4349-2021
Nag, P., Sun, Y., & Reich, B. J. (2023). Spatio-temporal DeepKriging for interpolation and probabilistic forecasting. Spatial Statistics, 57, 100773. https://doi.org/10.1016/j.spasta.2023.100773
Nakano, A., Bueno, B., Norford, L., & Reinhart, C. (2015, December 7). Urban Weather Generator - A Novel Workflow for Integrating Urban Heat Island Effect Within Urban Design Process. 2015 Building Simulation Conference. https://doi.org/10.26868/25222708.2015.2909
NASA Earthdata. (2025). Synthetic Aperture Radar (SAR) | NASA Earthdata. https://www.earthdata.nasa.gov/learn/earth-observation-data-basics/sar
Naserikia, M., Hart, M. A., Nazarian, N., Bechtel, B., Lipson, M., & Nice, K. A. (2023). Land surface and air temperature dynamics: The role of urban form and seasonality. Science of The Total Environment, 905, 167306. https://doi.org/10.1016/j.scitotenv.2023.167306
Natural Resources Canada. (2025). Canadian Wildland Fire Information System | Canadian National Fire Database (CNFDB). https://cwfis.cfs.nrcan.gc.ca/ha/nfdb?type=pnt&year=9999
Naughton, J., & McDonald, W. (2019). Evaluating the Variability of Urban Land Surface Temperatures Using Drone Observations. Remote Sensing, 11(14), 1722. https://doi.org/10.3390/rs11141722
Nicoletta, V., D. Chavardès, R., Abo El Ezz, A., Cotton-Gagnon, A., Bélanger, V., & Boucher, J. (2023). FireLossRate: An R package to estimate the loss rate of residential structures affected by wildfires at the Wildland Urban Interface. MethodsX, 10, 102238. https://doi.org/10.1016/j.mex.2023.102238
NOAA, thunderstorm Basics. (2025, August 25). NOAA National Severe Storms Laboratory. https://www.nssl.noaa.gov/education/svrwx101/thunderstorms/
NOAA, tornado Basics. (2025, August 25). NOAA National Severe Storms Laboratory. https://www.nssl.noaa.gov/education/svrwx101/tornadoes/
NOAA’s National Weather Service. (2007, June 5). National Weather Service. How Do Downbursts Form? https://www.weather.gov/lmk/downburst
Norman, J. M., & Becker, F. (1995). Terminology in thermal infrared remote sensing of natural surfaces. Agricultural and Forest Meteorology, 77(3-4), 153-166. https://doi.org/10.1016/0168-1923(95)02259-Z
Norman, J. M., Divakarla, M., & Goel, N. S. (1995). Algorithms for extracting information from remote thermal-IR observations of the earth’s surface. Remote Sensing of Environment, 51(1), 157-168. https://doi.org/10.1016/0034-4257(94)00072-U
Northern Hail Project (NHP). (2025). https://nhp.uwo.ca/index.html
Northern Mesonet Project (NMP). (2025). https://www.uwo.ca/nmp/index.html
Northern Tornadoes Project (NTP). (2025). Northern Tornadoes Project. https://www.uwo.ca/ntp/
NRC. (2021, July 15). New National Guide for Wildland-Urban Interface Fires. https://nrc.canada.ca/en/certifications-evaluations-standards/codes-canada/construction-innovation/new-national-guide-wildland-urban-interface-fires
NRC. (2023, June 14). National Building Code of Canada 2020. https://nrc.canada.ca/en/certifications-evaluations-standards/codes-canada/codes-canada-publications/national-building-code-canada-2020
Oke, T. R. (1982). The energetic basis of the urban heat island. Quarterly Journal of the Royal Meteorological Society, 108(455), 1-24. https://doi.org/10.1002/qj.49710845502
Oke, T. R. (1997). Urban Environment. In Bailey, W. G., Oke, T. R., & Rouse, W. R. (Eds.), The Surface Climates of Canada (pp. 303-327). McGill-Queen’s University Press.
Oke, T. R., Mills, G., Christen, A., & Voogt, J. A. (2017). Urban Climates (1st ed.). Cambridge University Press. https://doi.org/10.1017/9781139016476
Oke, T. R., Mills, G., Voogt, J. A., & Christan, A. (2017). Urban Climate. Cambridge University Press.
Pappaccogli, G., Giangrande, F., Esposito, A., Donateo, A., Lionello, P., & Buccolieri, R. (2024). Dynamics of urban heat island intensity in Lecce, Italy: Seasonal, diurnal and heat wave influence. Bulletin of Atmospheric Science and Technology, 5(1), 8. https://doi.org/10.1007/s42865-024-00072-z
Parisien, M.-A., Barber, Q. E., Bourbonnais, M. L., Daniels, L. D., Flannigan, M. D., Gray, R. W., Hoffman, K. M., Jain, P., Stephens, S. L., Taylor, S. W., & Whitman, E. (2023). Abrupt, climate-induced increase in wildfires in British Columbia since the mid-2000s. Communications Earth & Environment, 4(1), 309. https://doi.org/10.1038/s43247-023-00977-1
Parisien, M.-A., Barber, Q. E., Bourbonnais, M. L., & Daniels, L. D. (2023). Abrupt, climate-induced increase in wildfires in British Columbia since the mid-2000s. Communications Earth & Environment, 309. https://www.nature.com/articles/s43247-023-00977-1?error=cookies_not_supported&code=266f8aca-a51e-4110-b1e3-2e2fcacae0ed#Sec1
Patz, J. A., Campbell-Lendrum, D., Holloway, T., & Foley, J. A. (2005). Impact of regional climate change on human health. Nature, 438(7066), 310-317. https://doi.org/10.1038/nature04188
Phelan, P. E., Kaloush, K., Miner, M., Golden, J., Phelan, B., Silva, H., & Taylor, R. A. (2015). Urban Heat Island: Mechanisms, Implications, and Possible Remedies. Annual Review of Environment and Resources, 40(1), 285-307. https://doi.org/10.1146/annurev-environ-102014-021155
Pouriya Jafarpur, & Ryan Smith. (2024, November 13). Climate Data Canada, Tornadoes and Climate Change. https://climatedata.ca/news/tornadoes-and-climate-change-in-canada/
Public Health Agency of Canada. (2023, September 8). Wildfires in Canada: Toolkit for Public Health Authorities [Recommendations;regulations]. https://www.canada.ca/en/public-health/services/publications/healthy-living/wildfires-canada-toolkit-public-health-authorities.html
Qiao, Z., Zhang, D., Xu, X., & Liu, L. (2019). Robustness of satellite-derived land surface parameters to urban land surface temperature. International Journal of Remote Sensing, 40(5-6), 1858-1874. https://doi.org/10.1080/01431161.2018.1484962
Quan, J., Zhan, W., Ma, T., Du, Y., Guo, Z., & Qin, B. (2018). An integrated model for generating hourly Landsat-like land surface temperatures over heterogeneous landscapes. Remote Sensing of Environment, 206, 403-423. https://doi.org/10.1016/j.rse.2017.12.003
Rech, B., Moreira, R. N., Mello, T. A. G., Klouček, T., & Komárek, J. (2024). Assessment of daytime and nighttime surface urban heat islands across local climate zones - A case study in Florianópolis, Brazil. Urban Climate, 55, 101954. https://doi.org/10.1016/j.uclim.2024.101954
Ren, S., Stroud, C., Belair, S., Leroyer, S., Munoz-Alpizar, R., Moran, M., Zhang, J., Akingunola, A., & Makar, P. (2020). Impact of Urbanization on the Predictions of Urban Meteorology and Air Pollutants over Four Major North American Cities. Atmosphere, 11(9), 969. https://doi.org/10.3390/atmos11090969
Röck, M., Saade, M. R. M., Balouktsi, M., Rasmussen, F. N., Birgisdottir, H., Frischknecht, R., Habert, G., Lützkendorf, T., & Passer, A. (2020). Embodied GHG emissions of buildings - The hidden challenge for effective climate change mitigation. Applied Energy, 258, 114107. https://doi.org/10.1016/j.apenergy.2019.114107
Rodell, C., Howard, R., Jain, P., Moisseeva, N., Chui, T., & Stull, R. (2024). Forecasting Hourly Wildfire Risk: Enhancing Fire Danger Assessment Using Numerical Weather Prediction. Weather and Forecasting, 39(6), 925-941. https://doi.org/10.1175/WAF-D-23-0226.1
Roshan, G., Arekhi, S., Bayganeh, Z., & Attia, S. (2024). Evaluation of the intensity of urban heat islands during heat waves using local climate zones in the semi-arid, continental climate of Tehran. Urban Climate, 56, 102079. https://doi.org/10.1016/j.uclim.2024.102079
Runkle, J. D., Sugg, M. M., Leeper, R. D., Rao, Y., Matthews, J. L., & Rennie, J. J. (2020). Short-term effects of specific humidity and temperature on COVID-19 morbidity in select US cities. Science of The Total Environment, 740, 140093. https://doi.org/10.1016/j.scitotenv.2020.140093
Rydin, Y., Bleahu, A., Davies, M., Dávila, J. D., Friel, S., De Grandis, G., Groce, N., Hallal, P. C., Hamilton, I., Howden-Chapman, P., Lai, K.-M., Lim, C., Martins, J., Osrin, D., Ridley, I., Scott, I., Taylor, M., Wilkinson, P., & Wilson, J. (2012). Shaping cities for health: Complexity and the planning of urban environments in the 21st century. The Lancet, 379(9831), 2079-2108. https://doi.org/10.1016/S0140-6736(12)60435-8
Sakthivel, P., & Sengupta, R. (2025). Spatial bias in placement of citizen and conventional weather stations and their impact on urban climate research: A case study of the Urban Heat Island effect in Canada. Urban Climate, 59, 102280. https://doi.org/10.1016/j.uclim.2024.102280
Salamanca, F., Georgescu, M., Mahalov, A., Moustaoui, M., & Wang, M. (2014). Anthropogenic heating of the urban environment due to air conditioning. Journal of Geophysical Research: Atmospheres, 119(10), 5949-5965. https://doi.org/10.1002/2013JD021225
Santamouris, M. (2014). Cooling the cities - A review of reflective and green roof mitigation technologies to fight heat island and improve comfort in urban environments. Solar Energy, 103, 682-703. https://doi.org/10.1016/j.solener.2012.07.003
Santamouris, M., Cartalis, C., Synnefa, A., & Kolokotsa, D. (2015). On the impact of urban heat island and global warming on the power demand and electricity consumption of buildings—A review. Energy and Buildings, 98, 119-124. https://doi.org/10.1016/j.enbuild.2014.09.052
Santamouris, M., Ding, L., Fiorito, F., Oldfield, P., Osmond, P., Paolini, R., Prasad, D., & Synnefa, A. (2017). Passive and active cooling for the outdoor built environment - Analysis and assessment of the cooling potential of mitigation technologies using performance data from 220 large scale projects. Solar Energy, 154, 14-33. https://doi.org/10.1016/j.solener.2016.12.006
Santamouris, M., Gaitani, N., Spanou, A., Saliari, M., Giannopoulou, K., Vasilakopoulou, K., & Kardomateas, T. (2012). Using cool paving materials to improve microclimate of urban areas - Design realization and results of the flisvos project. Building and Environment, 53, 128-136. https://doi.org/10.1016/j.buildenv.2012.01.022
Sato, Y., Higuchi, A., Takami, A., Murakami, A., Masutomi, Y., Tsuchiya, K., Goto, D., & Nakajima, T. (2016). Regional variability in the impacts of future land use on summertime temperatures in Kanto region, the Japanese megacity. Urban Forestry & Urban Greening, 20, 43-55. https://doi.org/10.1016/j.ufug.2016.07.012
SCC. (2022). Urban Heat Island Mapping Workshop. Standards Council of Canada.
Schlünzen, K. H., Baklanov, A., & Grimmond, S. (2023). Guidance on measuring, modelling and monitoring the canopy layer urban heat island (CL-UHI). World Meteorological Origanization, ISBN 9789263112922, 103.
Schneider, S. R., Lee, K., Santos, G., & Abbatt, J. P. D. (2021). Air Quality Data Approach for Defining Wildfire Influence: Impacts on PM2.5, NO2, CO, and O3 in Western Canadian Cities. Environmental Science & Technology, 55(20), 13709-13717. https://doi.org/10.1021/acs.est.1c04042
Schoetter, R., Kwok, Y. T., De Munck, C., Lau, K. K. L., Wong, W. K., & Masson, V. (2020). Multi-layer coupling between SURFEX-TEB-v9.0 and Meso-NH-v5.3 for modelling the urban climate of high-rise cities. Geoscientific Model Development, 13(11), 5609-5643. https://doi.org/10.5194/gmd-13-5609-2020
Seletković, A., Kičić, M., Ančić, M., Kolić, J., & Pernar, R. (2023). The Urban Heat Island Analysis for the City of Zagreb in the Period 2013-2022 Utilizing Landsat 8 Satellite Imagery. Sustainability, 15(5), 3963. https://doi.org/10.3390/su15053963
Shane Tiley. (2024). Snowed Under: Climate Risks from Extreme Snowfall in the Great Lakes Region of North America. Sustainalytics.Com. https://www.sustainalytics.com/esg-research/resource/investors-esg-blog/snowed-under-climate-risks-from-extreme-snowfall-in-the-great-lakes-region-of-north-america
Sharma, A. R., Jain, P., Abatzoglou, J. T., & Flannigan, M. (2022). Persistent Positive Anomalies in Geopotential Heights Promote Wildfires in Western North America. Journal of Climate, 35(19), 6469-6486. https://doi.org/10.1175/JCLI-D-21-0926.1
Shen, H., Jiang, Y., Li, T., Cheng, Q., Zeng, C., & Zhang, L. (2020). Deep learning-based air temperature mapping by fusing remote sensing, station, simulation and socioeconomic data. Remote Sensing of Environment, 240, 111692. https://doi.org/10.1016/j.rse.2020.111692
Sheng, C., Tang, Q., & Hong, H. P. (2023). Estimating and Mapping Extreme Ice Accretion Hazard and Load Due to Freezing Rain at Canadian Sites. International Journal of Disaster Risk Science, 14(1), 127-142. Scopus. https://doi.org/10.1007/s13753-023-00466-1
Shu, C., Gaur, A., Wang, L., & Lacasse, M. A. (2023). Evolution of the local climate in Montreal and Ottawa before, during and after a heatwave and the effects on urban heat islands. Science of The Total Environment, 890, 164497. https://doi.org/10.1016/j.scitotenv.2023.164497
Shum, C., & Zhong, L. (2022). Wildfire-resilient mechanical ventilation systems for single-detached homes in cities of Western Canada. Sustainable Cities and Society, 79, 103668. https://doi.org/10.1016/j.scs.2022.103668
Smith, R. (2024, April 24). Freezing Rain and Climate Change. ClimateData.Ca. https://climatedata.ca/freezing-rain-and-climate-change/
Smith, R. & Rachel Malena-Chan. (2024, June 17). Climate Change and Thunderstorms. ClimateData.Ca. https://climatedata.ca/climate-change-and-thunderstorms/
Sprague, N. L., Uong, S. P., Kelsall, N. C., Jacobowitz, A. L., & Quinn, J. W. (2024). Using geographic effect measure modification to examine socioeconomic-related surface temperature disparities in New York City. Journal of Exposure Science & Environmental Epidemiology. https://doi.org/10.1038/s41370-024-00714-6
Statistics Canada. (2017, March 16). Infographic: Fort McMurray 2016 Wildfire - Economic Impact. https://www150.statcan.gc.ca/n1/pub/11-627-m/11-627-m2017007-eng.htm
Stewart, I. D., Krayenhoff, E. S., Voogt, J. A., Lachapelle, J. A., Allen, M. A., & Broadbent, A. M. (2021). Time Evolution of the Surface Urban Heat Island. Earth’s Future, 9(10), e2021EF002178. https://doi.org/10.1029/2021EF002178
Stewart, I. D., & Mills, G. (2021). The Urban Heat Island. Elsevier.
Stewart, I. D., & Oke, T. R. (2012). Local Climate Zones for Urban Temperature Studies. Bulletin of the American Meteorological Society, 93(12), 1879-1900. https://doi.org/10.1175/BAMS-D-11-00019.1
Strebel, D., Errebai, F. B., Kubilay, A., Carmeliet, J., & Derome, D. (2022). Effects of Urban Heat Islands during Heat Waves in Montreal Residential buildings.
Stuart, R. A., & Isaac, G. A. (1999a). Freezing precipitation in Canada. Atmosphere-Ocean, 37(1), 87-102. https://doi.org/10.1080/07055900.1999.9649622
Stuart, R. A., & Isaac, G. A. (1999b). Freezing precipitation in Canada. Atmosphere-Ocean, 37(1), 87-102. https://doi.org/10.1080/07055900.1999.9649622
Su, H., & Qi, Z. (2023). Polycentric structure and urban thermal environment: A large-scale study from multi-perspectives. Sustainable Cities and Society, 96, 104657. https://doi.org/10.1016/j.scs.2023.104657
Sun, H., Zhou, B., & Liu, H. (2019). Spatial Evaluation of Soil Moisture (SM), Land Surface Temperature (LST), and LST-Derived SM Indexes Dynamics during SMAPVEX12. Sensors (Basel, Switzerland), 19(5), 1247. https://doi.org/10.3390/s19051247
Swaminathan, R., Sridharan, M., & Hayhoe, K. (2018). A Computational Framework for Modelling and Analyzing Ice Storms (arXiv:1805.04907). arXiv. https://doi.org/10.48550/arXiv.1805.04907
Syed Mahbar, S. F., & Kusaka, H. (2024). Synergistic interactions between urban heat islands and heat waves in the Greater Kuala Lumpur and surrounding areas. International Journal of Climatology, 44(13), 4886-4906. https://doi.org/10.1002/joc.8614
Tan, J., NourEldeen, N., Mao, K., Shi, J., Li, Z., Xu, T., & Yuan, Z. (2019). Deep Learning Convolutional Neural Network for the Retrieval of Land Surface Temperature from AMSR2 Data in China. Sensors, 19(13), Article 13. https://doi.org/10.3390/s19132987
Thériault, J. M., Stewart, R. E., Milbrandt, J. A., & Yau, M. K. (2006). On the simulation of winter precipitation types. Journal of Geophysical Research: Atmospheres, 111(D18), 2005JD006665. https://doi.org/10.1029/2005JD006665
Thunderstorm Hazards—Tornadoes | NOAA. (2023, June 22). https://www.noaa.gov/jetstream/thunderstorms/thunderstorm-hazards-tornadoes
Tian, H., Wang, P., Tansey, K., Zhang, J., Zhang, S., & Li, H. (2021). An LSTM neural network for improving wheat yield estimates by integrating remote sensing data and meteorological data in the Guanzhong Plain, PR China. Agricultural and Forest Meteorology, 310, 108629. https://doi.org/10.1016/j.agrformet.2021.108629
Tong, S., Prior, J., McGregor, G., Shi, X., & Kinney, P. (2021). Urban heat: An increasing threat to global health. BMJ, n2467. https://doi.org/10.1136/bmj.n2467
Transport Canada. (2020). Transportation in Canada.
Tsilini, V., Papantoniou, S., Kolokotsa, D.-D., & Maria, E.-A. (2015). Urban gardens as a solution to energy poverty and urban heat island. Sustainable Cities and Society, 14, 323-333. https://doi.org/10.1016/j.scs.2014.08.006
Tsin, P. K., Knudby, A., Krayenhoff, E. S., Ho, H. C., Brauer, M., & Henderson, S. B. (2016). Microscale mobile monitoring of urban air temperature. Urban Climate, 18, 58-72. https://doi.org/10.1016/j.uclim.2016.10.001
US EPA. (2024). What Are Heat Islands? [Overviews and Factsheets]. https://www.epa.gov/heatislands/what-are-heat-islands
Vázquez Fernández, L., Diz-Lois Palomares, A., Vicedo Cabrera, A. M., Freiesleben De Blasio, B., Di Ruscio, F., Wisløff, T., & Rao, S. (2025). Short-term association between air temperature and mortality in seven cities in Norway: A time series analysis. Scandinavian Journal of Public Health, 53(2), 134-141. https://doi.org/10.1177/14034948241233359
Venter, Z. S., Brousse, O., Esau, I., & Meier, F. (2020). Hyperlocal mapping of urban air temperature using remote sensing and crowdsourced weather data. Remote Sensing of Environment, 242, 111791. https://doi.org/10.1016/j.rse.2020.111791
Venter, Z. S., Chakraborty, T., & Lee, X. (2021). Crowdsourced air temperatures contrast satellite measures of the urban heat island and its mechanisms. Science Advances, 7(22), eabb9569. https://doi.org/10.1126/sciadv.abb9569
Verdonck, M.-L., Demuzere, M., Hooyberghs, H., Beck, C., Cyrys, J., Schneider, A., Dewulf, R., & Van Coillie, F. (2018). The potential of local climate zones maps as a heat stress assessment tool, supported by simulated air temperature data. Landscape and Urban Planning, 178, 183-197. https://doi.org/10.1016/j.landurbplan.2018.06.004
Vieira Zezzo, L., Pereira Coltri, P., & Dubreuil, V. (2023). Microscale models and urban heat island studies: A systematic review. Environmental Monitoring and Assessment, 195(11), 1284. https://doi.org/10.1007/s10661-023-11906-2
Voelkel, J., Shandas, V., & Haggerty, B. (2016). Developing High-Resolution Descriptions of Urban Heat Islands: A Public Health Imperative. Preventing Chronic Disease, 13, 160099. https://doi.org/10.5888/pcd13.160099
Voogt, J. A. (2002). Urban Heat Island. In T. Munn (Ed.), Encyclopedia of global environmental change. Wiley.
Voogt, J. A., & Oke, T. R. (1997). Complete Urban Surface Temperatures. Journal of Applied Meteorology, 36(9), 1117-1132. https://doi.org/10.1175/1520-0450(1997)036%253C1117:CUST%253E2.0.CO;2
Vulova, S., Meier, F., Fenner, D., Nouri, H., & Kleinschmit, B. (2020). Summer Nights in Berlin, Germany: Modeling Air Temperature Spatially with Remote Sensing, Crowdsourced Weather Data, and Machine Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 5074-5087. https://doi.org/10.1109/JSTARS.2020.3019696
Wang, S., Zhou, J., Lei, T., Wu, H., Zhang, X., Ma, J., & Zhong, H. (2020). Estimating Land Surface Temperature from Satellite Passive Microwave Observations with the Traditional Neural Network, Deep Belief Network, and Convolutional Neural Network. Remote Sensing, 12(17), Article 17. https://doi.org/10.3390/rs12172691
Wang, X., Yu, K., Wu, S., Gu, J., Liu, Y., Dong, C., Qiao, Y., & Loy, C. C. (2019). ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks. In L. Leal-Taixé & S. Roth (Eds.), Computer Vision - ECCV 2018 Workshops (Vol. 11133, pp. 63-79). Springer International Publishing. https://doi.org/10.1007/978-3-030-11021-5_5
Wang, Y., & Akbari, H. (2016). The effects of street tree planting on Urban Heat Island mitigation in Montreal. Sustainable Cities and Society, 27, 122-128. https://doi.org/10.1016/j.scs.2016.04.013
Wang, Y., Berardi, U., & Akbari, H. (2016). Comparing the effects of urban heat island mitigation strategies for Toronto, Canada. Energy and Buildings, 114, 2-19. https://doi.org/10.1016/j.enbuild.2015.06.046
Warren, E. L., Young, D. T., Chapman, L., Muller, C., Grimmond, C. S. B., & Cai, X.-M. (2016). The Birmingham Urban Climate Laboratory—A high density, urban meteorological dataset, from 2012-2014. Scientific Data, 3(1), 160038. https://doi.org/10.1038/sdata.2016.38
Weaver, A. J., & Wiebe, E. C. (2006). Micro Meteorological Network in Greater Victoria Schools www.victoriaweather.ca.
Welegedara, N. P. Y., Agrawal, S. K., & Lotfi, G. (2023). Exploring spatiotemporal changes of the urban heat Island effect in high-latitude cities at a neighbourhood level: A case of Edmonton, Canada. Sustainable Cities and Society, 90, 104403. https://doi.org/10.1016/j.scs.2023.104403
Wen, Z., Zhuo, L., Wang, Q., Wang, J., Liu, Y., Du, S., Abdelhalim, A., & Han, D. (2023). Data Fusion for Estimating High-Resolution Urban Heatwave Air Temperature. Remote Sensing, 15(16), 3921. https://doi.org/10.3390/rs15163921
White, R. H., Anderson, S., Booth, J. F., Braich, G., Draeger, C., Fei, C., Harley, C. D. G., Henderson, S. B., Jakob, M., Lau, C.-A., Mareshet Admasu, L., Narinesingh, V., Rodell, C., Roocroft, E., Weinberger, K. R., & West, G. (2023). The unprecedented Pacific Northwest heatwave of June 2021. Nature Communications, 14(1), 727. https://doi.org/10.1038/s41467-023-36289-3
Whitman, E., Sherren, K., & Rapaport, E. (2015). Increasing daily wildfire risk in the Acadian Forest Region of Nova Scotia, Canada, under future climate change. Regional Environmental Change, 15(7), 1447-1459. https://doi.org/10.1007/s10113-014-0698-5
Wildfire facts. (2021). Canada Wildfire, Wildfire Facts. https://www.canadawildfire.org/wildfirefacts
WMO. (2019). Guidance on Integrated Urban Hydrometeorological, Climate and Environment Services (Vol_II) [Demonstration Cities].
WMO. (2021). Guide to Meteorological Instruments and Methods of Observation (Space-Based Observation No. 8; Volum IV). World Meteorological Organization.
WMO. (2023a). Guidance on Measuring, Modelling and Monitoring the Canopy Layer Urban Heat Island (CL‑UHI) (No. 1292). World Meteorological Organization.
WMO. (2023b). Guidance on Measuring, Modelling and Monitoring the Canopy Layer Urban Heat Island (CL‑UHI) (WMO-No. 1292).
WMO. (2024). Guide to Instruments and Methods of Observation, Volume III—Observing Systems. Chapter 9, Urban Observations (No. 8; pp. 472-500). World Meteorological Organization.
Wong, N. H., He, Y., Nguyen, N. S., Raghavan, S. V., Martin, M., Hii, D. J. C., Yu, Z., & Deng, J. (2021). An integrated multiscale urban microclimate model for the urban thermal environment. Urban Climate. https://doi.org/10.1016/j.uclim.2020.100730
Wotton, B. M., Martin E. Alexander, & Stephen W. Taylor. (2009). Updates and revisions to the 1992 Canadian Forest Fire Behavior prediCtion system. https://www.frames.gov/catalog/10009?utm_source
Wu, Y., Nehrir, A. R., Ren, X., Dickerson, R. R., Huang, J., Stratton, P. R., Gronoff, G., Kooi, S. A., Collins, J. E., Berkoff, T. A., Lei, L., Gross, B., & Moshary, F. (2021). Synergistic aircraft and ground observations of transported wildfire smoke and its impact on air quality in New York City during the summer 2018 LISTOS campaign. Science of The Total Environment, 773, 145030. https://doi.org/10.1016/j.scitotenv.2021.145030
Xi, D. D. Z., Taylor, S. W., Woolford, D. G., & Dean, C. B. (2019). Statistical Models of Key Components of Wildfire Risk. Annual Review of Statistics and Its Application, 6(1), 197-222. https://doi.org/10.1146/annurev-statistics-031017-100450
Xia, H., Chen, Y., Li, Y., & Quan, J. (2019). Combining kernel-driven and fusion-based methods to generate daily high-spatial-resolution land surface temperatures. Remote Sensing of Environment, 224, 259-274. https://doi.org/10.1016/j.rse.2019.02.006
Xiang, Y., Zheng, B., Bedra, K. B., Ouyang, Q., Liu, J., & Zheng, J. (2023). Spatial and seasonal differences between near surface air temperature and land surface temperature for Urban Heat Island effect assessment. Urban Climate, 52, 101745. https://doi.org/10.1016/j.uclim.2023.101745
Xu, J., Ganji, A., Saeedi, M., Jeong, C.-H., Su, Y., Munoz, T., Lloyd, M., Weichenthal, S., Evans, G., & Hatzopoulou, M. (2025). Unveiling the Impact of Wildfires on Nanoparticle Characteristics and Exposure Disparities through Mobile and Fixed-Site Monitoring in Toronto, Canada. Environmental Science & Technology, 59(11), 5621-5635. https://doi.org/10.1021/acs.est.4c08675
Xu, S., Cheng, J., & Zhang, Q. (2021). A Random Forest-Based Data Fusion Method for Obtaining All-Weather Land Surface Temperature with High Spatial Resolution. Remote Sensing, 13(11), Article 11. https://doi.org/10.3390/rs13112211
Yang, C., Guo, D., Wang, J., & Jiang, Z. (2021). The Data Collection and Monitoring Plan of Effect of Urban Heat Island on St George Rainway. https://www.sfu.ca/content/sfu/evsc/environmental-science-capstone-showcase-/spring-2021/everett-behshad-bircher-kumar-thandi-tony/_jcr_content/main_content/download/file.res/Data%202.pdf
Yang, J., Wang, Z.-H., & Kaloush, K. E. (2015). Environmental impacts of reflective materials: Is high albedo a ‘silver bullet’ for mitigating urban heat island? Renewable and Sustainable Energy Reviews, 47, 830-843. https://doi.org/10.1016/j.rser.2015.03.092
Yang, Z., Cao, S., & Aibin, M. (2025). Beyond sRGB: Optimizing Object Detection with Diverse Color Spaces for Precise Wildfire Risk Assessment. Remote Sensing, 17(9), 1503. https://doi.org/10.3390/rs17091503
Yasunari, T. J., Nakamura, H., Kim, K.-M., Choi, N., Lee, M.-I., Tachibana, Y., & Da Silva, A. M. (2021). Relationship between circum-Arctic atmospheric wave patterns and large-scale wildfires in boreal summer. Environmental Research Letters, 16(6), 064009. https://doi.org/10.1088/1748-9326/abf7ef
Yin, S., Xiao, S., Ding, X., & Fan, Y. (2024). Improvement of spatial-temporal urban heat island study based on local climate zone framework: A case study of Hangzhou, China. Building and Environment, 248, 111102. https://doi.org/10.1016/j.buildenv.2023.111102
Zabow, M., Jones, H., Trtanj, J., & Williams, J. (2024). Urban Heat Island Mapping: Using Community Science to Understand Heat Disparities and Implement Cooling Solutions in the US and Internationally. 36th Annual Conference of the International Society of Environmental Epidemiology.
Zaitunah, A., Samsuri, S., Silitonga, A. F., & Syaufina, L. (2022). Urban Greening Effect on Land Surface Temperature. Sensors, 22(11), 4168. https://doi.org/10.3390/s22114168
Zargari, M., Mofidi, A., Entezari, A., & Baaghideh, M. (2024). Climatic comparison of surface urban heat island using satellite remote sensing in Tehran and suburbs. Scientific Reports, 14(1), 643. https://doi.org/10.1038/s41598-023-50757-2
Zeng, L., Lindberg, F., Zhang, X., Pan, H., & Lu, J. (2023). Road surface temperature evaluated with streetview-derived parameters in a hot and humid megacity. Urban Climate, 51, 101585. https://doi.org/10.1016/j.uclim.2023.101585
Zhang, Q., Wang, Y., Xiao, Q., Geng, G., Davis, S. J., Liu, X., Yang, J., Liu, J., Huang, W., He, C., Luo, B., Martin, R. V., Brauer, M., Randerson, J. T., & He, K. (2025). Long-range PM2.5 pollution and health impacts from the 2023 Canadian wildfires. Nature, 645(8081), 672-678. https://doi.org/10.1038/s41586-025-09482-1
Zhang, X., Zhang, Q., Zhang, G., Nie, Z., Gui, Z., & Que, H. (2018). A Novel Hybrid Data-Driven Model for Daily Land Surface Temperature Forecasting Using Long Short-Term Memory Neural Network Based on Ensemble Empirical Mode Decomposition. International Journal of Environmental Research and Public Health, 15(5), Article 5. https://doi.org/10.3390/ijerph15051032
Zhang, Y., Lovitt, J., Fortin, M., Fang, H., Leblanc, S. G., & Canisius, F. (2024). Post-wildfire boreal forest vegetation cover change mapping via information fusion for secondary disaster risk assessments. International Journal of Applied Earth Observation and Geoinformation, 133, 104098. https://doi.org/10.1016/j.jag.2024.104098
Zhang, Y., Yu, D., Zhao, H., Zhang, B., Li, Y., & Zhang, J. (2024). Chasing the heat: Unraveling urban hyperlocal air temperature mapping with mobile sensing and machine learning. Science of The Total Environment, 927, 172168. https://doi.org/10.1016/j.scitotenv.2024.172168
Zhao, G., Zhang, Y., Tan, J., Li, C., & Ren, Y. (2020). A Data Fusion Modeling Framework for Retrieval of Land Surface Temperature from Landsat-8 and MODIS Data. Sensors, 20(15), Article 15. https://doi.org/10.3390/s20154337
Zheng, Y., Huang, L., & Zhai, J. (2021). Divergent trends of urban thermal environmental characteristics in China. Journal of Cleaner Production, 287, 125053. https://doi.org/10.1016/j.jclepro.2020.125053
Ziter, C. D., Pedersen, E. J., Kucharik, C. J., & Turner, M. G. (2019). Scale-dependent interactions between tree canopy cover and impervious surfaces reduce daytime urban heat during summer. Proceedings of the National Academy of Sciences, 116(15), 7575-7580. https://doi.org/10.1073/pnas.1817561116
Zölch, T., Maderspacher, J., Wamsler, C., & Pauleit, S. (2016). Using green infrastructure for urban climate-proofing: An evaluation of heat mitigation measures at the micro-scale. Urban Forestry & Urban Greening, 20, 305-316. https://doi.org/10.1016/j.ufug.2016.09.011
Zou, J., Lu, N., Jiang, H., Qin, J., Yao, L., Xin, Y., & Su, F. (2022). Performance of air temperature from ERA5-Land reanalysis in coastal urban agglomeration of Southeast China. Science of The Total Environment, 828, 154459. https://doi.org/10.1016/j.scitotenv.2022.154459
Zou, L., Li, G., & Xu, S. (2021). A novel method for optimizing air temperature estimation and quantifying canopy layer heat island intensity in eastern and central China. Advances in Space Research, 68(8), 3291-3301. https://doi.org/10.1016/j.asr.2021.06.023
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