A collaborative approach for the identification of thermal hot-spots: from remote sensing data to urban planning interventions
Claire Gallacher
Leibniz Institute of Ecological Urban and Regional Development, Dresden, Germany
Susanne Benz
Institute of Photogrammetry and Remote Sensing (IPF), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Denise Boehnke
Division 4 - Natural and Built Environment, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Mathias Jehling
Leibniz Institute of Ecological Urban and Regional Development, Dresden, Germany
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Mathias Jehling, Lucie Kluwe, and Caspar Kleiner
AGILE GIScience Ser., 7, 27, https://doi.org/10.5194/agile-giss-7-27-2026, https://doi.org/10.5194/agile-giss-7-27-2026, 2026
Caspar Kleiner, Denis Reiter, and Mathias Jehling
AGILE GIScience Ser., 6, 31, https://doi.org/10.5194/agile-giss-6-31-2025, https://doi.org/10.5194/agile-giss-6-31-2025, 2025
Patricia Glocke, Christopher C. Holst, and Susanne A. Benz
EGUsphere, https://doi.org/10.5194/egusphere-2025-1276, https://doi.org/10.5194/egusphere-2025-1276, 2025
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The study investigates how soil temperatures impact the atmosphere in cities using an urban climate model. Soil temperature has a significant role in modulating surface energy fluxes and atmospheric conditions, with cloud cover playing a critical factor. Incorporating subsurface urban heat islands in climate modeling is essential for understanding the complex interplay between soil and atmosphere, offering valuable guidance for improving urban climate resilience and mitigation strategies.
Patricia Glocke, Christopher C. Holst, Basit Khan, and Susanne A. Benz
Earth Syst. Dynam., 16, 55–74, https://doi.org/10.5194/esd-16-55-2025, https://doi.org/10.5194/esd-16-55-2025, 2025
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Utilizing the urban microclimate model PALM-4U, we show that temperature anomalies of ± 5 K at a depth of 2 m in the soil can impact atmospheric potential air temperatures within idealized domains. The impact depends on the season, time of day, land cover, and lateral boundary conditions of the domain. The magnitude of change depends mostly on seasonality and the time of day, ranging from 0.1 to 0.4 K. Land cover influences the absolute temperature but has a smaller impact on the magnitude.
Denis Reiter, Mathias Jehling, and Robert Hecht
AGILE GIScience Ser., 4, 38, https://doi.org/10.5194/agile-giss-4-38-2023, https://doi.org/10.5194/agile-giss-4-38-2023, 2023