Zygmuntowski, Markus (2004) Bewertung des Klimas von Österreich auf der Grundlage von human-biometeorologischen Indizes und geo-statistischen Methoden für Zwecke des Fremdenverkehrs. (Diploma thesis), Christian-Albrechts-Universität, Kiel, Germany, 154 pp.

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Abstract

Within the context of the Austrian Climate and Health Tourism Initiative (ACTIVE) this research supports a contribution from scientific basis to the improved use of the healthy effect of climate to Austria. The Central Institute of Meteorology and Geodynamics (ZAMG) provided us climate data records available by stations within of Austria, as well as a synoptical data records available by stations within and outside of Austria. For the investigation period of 1. January 1996 until 31. December 2000 series of measurements of 201 climatic stations and 278 synoptical stations are available. Emphasis of the analysis is the comparison of these two station types on the basis of the Physiological Equivalent Temperature (PET). It considers the influences on the Energy Balance of Humans by air temperature, vapour presssure, wind velocity, as well as short and long-wave radiant fluxes from the environment to the human body as the mean radiant temperature. This characteristic is to be modelled by RayMan, a modell for the mean radiant temperature and thermal indices in urban structures and divided into individual temperature ranges according to the unit degrees Celsius. It makes a classification possible which can be set into relation to comfort stages. The confrontation of both station types at midday takes place via frequency distributions from PET classes concerning the calendar months in per cent and in days per year. This time of day is for tourists and healthy oriented people decisive of choosing an climatic adequate region which is caused of a high activity rate in this hours. Further a regionalization is accomplished based on a regression analysis. This method places PET in relationship with geographical latitude, geographical length, height over the sea level, slope, aspect ratio and land use. So it makes the transferring of PET into the space possible. The generated maps show both the PET distribution in the calendar months and the distribution of individual classes based in each case on climatic and synoptical data records. The maps include a description of the bioclimate and makes a regional comparison of both data records possible. It shows similarly spatial and temporally tendencies in both kind of data records which have nearly the same high significant regression coefficients. A smaller data lack in climate data records and different measurement times at 14 o’clock LST for climate stations and at 13 o’clock CET for synoptical stations cause minor changes which can be observed in the mean radiant temperature and air temperature of both kind of stations. They lead to a lower PET in maps generated by synoptical data records. At all both show more detailed maps
with a high resolution of 1 km as it was possible in former studies.

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