Assessing Climate Change in Cities Using UrbClim

Conference paper
Part of the Springer Proceedings in Complexity book series (SPCOM)


The urban heat island effect, in which air temperatures tend to be higher in urban environments than in rural areas, is known to exacerbate the heat impact on population health. We introduce a new urban climate model, further referred to as UrbClim, designed to study the urban heat island effect at a spatial resolution of a few hundred metres. Despite its simplicity, UrbClim is found to be of the same level of accuracy as more sophisticated models, while also being much faster than high-resolution mesoscale climate models. Because of that, the model is well suited for long time integrations, in particular for applications in urban climate projections. In this contribution, we present temperature maps for London, including an assessment of the present-day climate, and projections for the future (2081–2100).


Urban Heat Island Global Climate Model Urban Climate Urban Heat Island Effect City District 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The research leading to these results has received funding from the European Community’s Seventh Framework Programme under Grant Agreement No. 308497 (Project RAMSES).


  1. De Ridder K, Sarkar A (2011) The urban heat island intensity of Paris: a case study based on a simple urban surface parameterisation. Bound Layer Meteorol 138:511–520CrossRefGoogle Scholar
  2. De Ridder K, Acero JA, Lauwaet D, Lefebvre W, Maiheu B, Mendizabal M (2014b) Validation of agglomeration-scale climate projections, RAMSES project report D4.1Google Scholar
  3. De Ridder K, Lauwaet D, Maiheu B (2015) UrbClim—a fast urban boundary layer climate model. Urban Clim 12:21–48CrossRefGoogle Scholar
  4. Hooyberghs H, de Ridder K, Lauwaet D, Lefebvre W, Maiheu B, de Ridder K, González-Aparicio I, Mendizabal M (2015) Agglomeration-scale urban climate and air quality projections, RAMSES project report D4.2Google Scholar
  5. Keramitsoglou I, Daglis IA, Amiridis V, Chrysoulakis N, Ceriola G, Manunta P, Maiheu B, de Ridder K, Lauwaet D, Paganini M (2012) Evaluation of satellite-derived products for the characterization of the urban thermal environment. J Appl Remote Sens 6:061704CrossRefGoogle Scholar
  6. Lauwaet D, Hooyberghs H, Maiheu B, Lefebvre W, Driesen G, van Looy S, De Ridder K (2015) Detailed Urban Heat Island projections for cities worldwide: dynamical downscaling CMIP5 global climate models. Climate 3(2):391–415Google Scholar
  7. 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. J Appl Meteorol Climatol 52:2051–2064CrossRefGoogle Scholar
  8. Meehl GA, Tebaldi C (2004) More intense, more frequent, and longer lasting heat waves in the 21st Century. Science 305:994–997CrossRefGoogle Scholar
  9. Schär C, Vidale PV, Lüthi D, Frei C, Häberli C, Liniger MA, Appenzeller C (2004) The role of increasing temperature variability in European summer heatwaves. Nature 427:332–336CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.VITO, Flemish Institute for Technological Research, Urban Climate TeamMolBelgium

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