Abstract
Urbanization affects human thermal comfort and health, especially for vulnerable groups such as the elderly and people with established health issues. To mitigate adverse thermal comfort and accompanying excess mortality there is an urgent need of tools for forecasting urban thermal comfort on short to medium-ranged time scales. In this use-case, we present the setup of a prototype of a high-resolution forecasting system at a neighborhood scale spatial resolution. The system builds on both traditional data sources, such as height-and terrain maps, and aerial photographs, as innovative datasources like the Dutch cadastre and the Dutch Statistics office. Additionally, crowd sourced temperature observations, special measuring campaigns, and a dense network of meteo stations will be used for validation.
Original language | English |
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Title of host publication | Proceedings - 11th IEEE International Conference on e-Science, e-Science 2015 |
Publisher | IEEE |
Pages | 243-248 |
ISBN (Print) | 9781467393256 |
DOIs | |
Publication status | Published - 22 Oct 2015 |
Event | 11th IEEE International Conference on eScience, eScience 2015 - Munich, Germany Duration: 31 Aug 2015 → 4 Sept 2015 |
Conference/symposium
Conference/symposium | 11th IEEE International Conference on eScience, eScience 2015 |
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Country/Territory | Germany |
City | Munich |
Period | 31/08/15 → 4/09/15 |
Keywords
- Geospatial information
- Numerical weather forecasting
- Urban heat island