Summary
The fast growing of cities population in the last decades, which is projected to be continued in the following, requires a better understanding of urban climatology and atmospheric conditions, looking for the benefit of citizens’ life. In a fast warming world due to climate change, the UHI, defined as the temperature difference between the urban area and its surroundings, is a major concern in the cities. UHI has been traditionally studied with localised in-situ air temperature measurements, i.e., taking the difference between a representative value of the city and of the suburban area, thereby limited by its spatial representability. However, a deep comprehension of UHI spatial variability is essential for supplying policy-makers with high-quality information to plan, prevent and mitigate the UHI effect, especially relevant under extreme heat conditions. While satellite thermal infrared (TIR) data provided new valuable insights in surface UHI (SUHI), these are still limited by the compromise between the spatial and temporal resolution of TIR satellite sensors. In this action, we will develop a novel methodology to estimate high-accuracy (
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| Web resources: | https://cordis.europa.eu/project/id/101150975 |
| Start date: | 01-09-2025 |
| End date: | 31-08-2027 |
| Total budget - Public funding: | - 165 312,00 Euro |
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Original description
The fast growing of cities population in the last decades, which is projected to be continued in the following, requires a better understanding of urban climatology and atmospheric conditions, looking for the benefit of citizens’ life. In a fast warming world due to climate change, the UHI, defined as the temperature difference between the urban area and its surroundings, is a major concern in the cities. UHI has been traditionally studied with localised in-situ air temperature measurements, i.e., taking the difference between a representative value of the city and of the suburban area, thereby limited by its spatial representability. However, a deep comprehension of UHI spatial variability is essential for supplying policy-makers with high-quality information to plan, prevent and mitigate the UHI effect, especially relevant under extreme heat conditions. While satellite thermal infrared (TIR) data provided new valuable insights in surface UHI (SUHI), these are still limited by the compromise between the spatial and temporal resolution of TIR satellite sensors. In this action, we will develop a novel methodology to estimate high-accuracy (Status
SIGNEDCall topic
HORIZON-MSCA-2023-PF-01-01Update Date
12-03-2024
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