International Journal of Biometeorology

, Volume 54, Issue 4, pp 479–483 | Cite as

Climate change and thermal bioclimate in cities: impacts and options for adaptation in Freiburg, Germany

Short Communication

Abstract

The concept of physiologically equivalent temperature (PET) has been applied to the analysis of thermal bioclimatic conditions in Freiburg, Germany, to show if days with extreme bioclimatic conditions will change and how extreme thermal conditions can be modified by changes in mean radiant temperature and wind speed. The results show that there will be an increase of days with heat stress (PET > 35°C) in the order of 5% (from 9.2% for 1961–1990) and a decrease of days with cold stress (PET < 0°C) from 16.4% to 3.8% per year. The conditions can be modified by measures modifying radiation and wind speed in the order of more than 10% of days per year by reducing global radiation in complex structures or urban areas.

Keywords

Thermal bioclimate REMO Freiburg Physiologically equivalent temperature 

References

  1. Höppe P (1999) The physiological equivalent temperature – a universal index for the biometeorological assessment of the thermal environment. Int J Biometeorol 43:71–75CrossRefPubMedGoogle Scholar
  2. IPCC (2007) Climate Change 2007: the scientific basis. Contribution of the Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Solomon S, Qin D et al (eds), Cambridge University Press, CambridgeGoogle Scholar
  3. Jacob D (2001) A note on the simulation of the annual and inter-annual variability of the water budget over the Baltic Sea drainage basin. Meteorol Atmos Phys 77:61–73CrossRefGoogle Scholar
  4. Jacob D, Bäring L, Christensen OB, Christensen JH, De Castro M, Deque M, Giorgi F, Hagemann S, Hirschi M, Jones R, Kjellström E, Lenderink G, Rockel B, Sanchez E, Schär C, Seneviratne S, Somot S, Van Ulden A, Van Den Hurk B (2007) An inter-comparison of regional climate models for Europe: model performance in present-day climate. Clim Change 81:31–52CrossRefGoogle Scholar
  5. Lin TP, Matzarakis A (2008) Tourism climate and thermal comfort in Sun Moon Lake, Taiwan. Int J Biometeorol 52:281–290CrossRefPubMedGoogle Scholar
  6. Matzarakis A (2006) Weather- and climate-related information for tourism. Tourism Hospitality Planning Dev 3:99–115CrossRefGoogle Scholar
  7. Matzarakis A (2007) Assessment method for climate and tourism based on daily data. In: Matzarakis A, de Freitas CR, Scott D (eds) Developments in tourism climatology. Commission Climate, Tourism and Recreation, International Society of Biometeorology, pp 52–58Google Scholar
  8. Matzarakis A, Mayer H (1996) Another kind of environmental stress: thermal stress. WHO Newsletter No. 18: 7–10Google Scholar
  9. Matzarakis A, Amelung B (2008) Physiologically equivalent temperature as indicator for impacts of climate change on thermal comfort of humans. In: Thomson MC et al (eds), Seasonal forecasts, climatic change and human health. Advances in global change research 30. Springer, Berlin, pp 161–172Google Scholar
  10. Matzarakis A, Mayer H, Iziomon MG (1999) Applications of a universal thermal index: physiological equivalent temperature. Int J Biometeorol 43:76–84CrossRefPubMedGoogle Scholar
  11. Matzarakis A, Rutz F, Mayer H (2007) Modelling radiation fluxes in simple and complex environment - application of the RayMan model. Int J Biometeorol 51:323–334CrossRefPubMedGoogle Scholar
  12. Mayer H (1993) Urban bioclimatology. Experientia 49:957–963CrossRefPubMedGoogle Scholar
  13. Zaninovic K, Matzarakis A (2009) The biometeorological leaflet as a means conveying climatological information to tourists and the tourism industry. Int J Biometeorol 53:369–374CrossRefPubMedGoogle Scholar

Copyright information

© ISB 2010

Authors and Affiliations

  1. 1.Meteorological InstituteUniversity of FreiburgFreiburgGermany

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