Literature DB >> 21614619

Comparison of UTCI to selected thermal indices.

Krzysztof Blazejczyk1, Yoram Epstein, Gerd Jendritzky, Henning Staiger, Birger Tinz.   

Abstract

Over the past century more than 100 indices have been developed and used to assess bioclimatic conditions for human beings. The majority of these indices are used sporadically or for specific purposes. Some are based on generalized results of measurements (wind chill, cooling power, wet bulb temperature) and some on the empirically observed reactions of the human body to thermal stress (physiological strain, effective temperature). Those indices that are based on human heat balance considerations are referred to as "rational indices". Several simple human heat balance models are known and are used in research and practice. This paper presents a comparative analysis of the newly developed Universal Thermal Climate Index (UTCI), and some of the more prevalent thermal indices. The analysis is based on three groups of data: global data-set, synoptic datasets from Europe, and local scale data from special measurement campaigns of COST Action 730. We found the present indices to express bioclimatic conditions reasonably only under specific meteorological situations, while the UTCI represents specific climates, weather, and locations much better. Furthermore, similar to the human body, the UTCI is very sensitive to changes in ambient stimuli: temperature, solar radiation, wind and humidity. UTCI depicts temporal variability of thermal conditions better than other indices. The UTCI scale is able to express even slight differences in the intensity of meteorological stimuli.

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Year:  2011        PMID: 21614619      PMCID: PMC3337419          DOI: 10.1007/s00484-011-0453-2

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  6 in total

1.  Applications of a universal thermal index: physiological equivalent temperature.

Authors:  A Matzarakis; H Mayer; M G Iziomon
Journal:  Int J Biometeorol       Date:  1999-10       Impact factor: 3.787

2.  The physiological equivalent temperature - a universal index for the biometeorological assessment of the thermal environment.

Authors:  P Höppe
Journal:  Int J Biometeorol       Date:  1999-10       Impact factor: 3.787

3.  Wet bulb globe temperature (WBGT)--to what extent is GT essential?

Authors:  D S Moran; K B Pandolf
Journal:  Aviat Space Environ Med       Date:  1999-05

4.  Computer prediction of human thermoregulatory and temperature responses to a wide range of environmental conditions.

Authors:  D Fiala; K J Lomas; M Stohrer
Journal:  Int J Biometeorol       Date:  2001-09       Impact factor: 3.787

5.  Biometeorological norm as tolerance interval of man to weather stimuli.

Authors:  M Baranowska; B Gabryl
Journal:  Int J Biometeorol       Date:  1981-06       Impact factor: 3.787

6.  Meaningful wind chill indicators derived from heat transfer principles.

Authors:  N Brauner; M Shacham
Journal:  Int J Biometeorol       Date:  1995-08       Impact factor: 3.787

  6 in total
  75 in total

1.  UTCI--why another thermal index?

Authors:  Gerd Jendritzky; Richard de Dear; George Havenith
Journal:  Int J Biometeorol       Date:  2011-12-21       Impact factor: 3.787

2.  The uncertainty of UTCI due to uncertainties in the determination of radiation fluxes derived from numerical weather prediction and regional climate model simulations.

Authors:  Stefan F Schreier; Irene Suomi; Peter Bröde; Herbert Formayer; Harald E Rieder; Imram Nadeem; Gerd Jendritzky; Ekaterina Batchvarova; Philipp Weihs
Journal:  Int J Biometeorol       Date:  2012-02-26       Impact factor: 3.787

3.  Thermal comfort in Quebec City, Canada: sensitivity analysis of the UTCI and other popular thermal comfort indices in a mid-latitude continental city.

Authors:  Simon Provençal; Onil Bergeron; Richard Leduc; Nathalie Barrette
Journal:  Int J Biometeorol       Date:  2015-09-08       Impact factor: 3.787

4.  Assessment of indoor heat stress variability in summer and during heat warnings: a case study using the UTCI in Berlin, Germany.

Authors:  Nadine Walikewitz; Britta Jänicke; Marcel Langner; Wilfried Endlicher
Journal:  Int J Biometeorol       Date:  2015-09-30       Impact factor: 3.787

5.  Directional distribution of chilling winds in Estonia.

Authors:  Triin Saue
Journal:  Int J Biometeorol       Date:  2015-11-19       Impact factor: 3.787

6.  The 2 °C global warming effect on summer European tourism through different indices.

Authors:  Manolis G Grillakis; Aristeidis G Koutroulis; Ioannis K Tsanis
Journal:  Int J Biometeorol       Date:  2015-12-04       Impact factor: 3.787

7.  Mortality risks during extreme temperature events (ETEs) using a distributed lag non-linear model.

Authors:  Michael J Allen; Scott C Sheridan
Journal:  Int J Biometeorol       Date:  2015-12-08       Impact factor: 3.787

8.  Case study of skin temperature and thermal perception in a hot outdoor environment.

Authors:  Katerina Pantavou; Evriklia Chatzi; George Theoharatos
Journal:  Int J Biometeorol       Date:  2013-08-06       Impact factor: 3.787

9.  Modeling thermal sensation in a Mediterranean climate-a comparison of linear and ordinal models.

Authors:  Katerina Pantavou; Spyridon Lykoudis
Journal:  Int J Biometeorol       Date:  2013-10-11       Impact factor: 3.787

10.  Intensification of thermal risk in Mediterranean climates: evidence from the comparison of rational and simple indices.

Authors:  George Katavoutas; Dimitra Founda
Journal:  Int J Biometeorol       Date:  2019-06-14       Impact factor: 3.787

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