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Transferring Climate Information for Application and Planning: The Climate-Tourism/Transfer-Information-Scheme

  • A. Matzarakis
Conference paper
Part of the Springer Atmospheric Sciences book series (SPRINGERATMO)

Abstract

A new approach based on climate thresholds, the Climate-Tourism-Information-Scheme CTIS, which is appropriate for destination analysis of present climate conditions and for future climate changes is shown here. In particular, the method combines meteorological and tourism related components. All factors are included in one single information scheme in order to describe these factors in a high temporal resolution. The CTIS intends to integrate and simplify climate information for tourism. It contains detailed climate information which can be used by tourists to anticipate thermal conditions (including thermal comfort, cold stress, heat stress, cold stress and sultriness) as well as aesthetical (sunshine) and physical conditions (wind, rain) when planning their vacations. CTIS provides all-seasonally frequency classes and frequencies of extreme weather events on a 10-day or monthly time scale. The included factors and parameters are shown in terms of thresholds and frequencies. In general, the definitions of the threshold values do not necessarily correspond to universal meteorological threshold values and are adjusted to applied climatology purposes e.g. tourism, health and urban planning.

Keywords

Heat Stress Cold Stress Thermal Comfort High Temporal Resolution Extreme Weather Event 
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.

References

  1. de Freitas CR (2003) Tourism climatology: evaluating environmental information for decision making and business planning in the recreation and tourism sector. Int J Biometeorol 48:45–54. doi: 10.1007/s00484-003-0177-z CrossRefGoogle Scholar
  2. Lin TP, Matzarakis A (2008) Tourism climate and thermal comfort in Sun Moon Lake, Taiwan. Int J Biometeorol 52:281–290. doi: 10.1007/s00484-007-0122-7 CrossRefGoogle Scholar
  3. Matzarakis A (2006) Weather and climate related information for tourism. Tour Hosp Plann Dev 3:99–115. doi: 10.1080/14790530600938279 CrossRefGoogle Scholar
  4. 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, Freiburg, pp 52–58Google Scholar
  5. Matzarakis A, Schneevoigt T, Matuschek O, Endler C (2010) Transfer of climate information for tourism and recreation – the CTIS software. In: Matzarakis A, Mayer H, Chmielewski FM (eds) Proceedings of the 7th conference on biometeorology. Ber Meteorol Inst Univ Freiburg no. 20, pp 392–397Google Scholar
  6. Scott D, de Freitas CR, Matzarakis A (2009) Adaptation in the tourism and recreation sector. In: McGregor GR, Burton I, Ebi K (eds) Biometeorology for adaptation to climate variability and change. Springer, Dordrecht, pp 171–194CrossRefGoogle Scholar
  7. Zaninovic K, Matzarakis A (2009) The biometeorological leaflet as a means conveying climatological information to tourists and the tourism industry. Int J Biometeorol 53:369–374. doi: 10.1007/s00484-009-0219-2 CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Meteorological InstituteAlbert-Ludwigs-University FreiburgFreiburgGermany

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