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Proceeding Paper

Modelling in Human Biometeorology: Spatial-Temporal Analysis of Thermal Indices

1
Research Centre Human Biometeorology, German Meteorological Service, Stefan-Meier-Str. 4, D-79104 Freiburg, Germany
2
Institute of Earth and Environmental Sciences, Faculty of Environment and Natural Resources, University of Freiburg, D-79085 Freiburg, Germany
*
Author to whom correspondence should be addressed.
Presented at the 4th International Electronic Conference on Atmospheric Sciences, 16–31 July 2021; Available online: https://ecas2021.sciforum.net.
Academic Editor: Anthony R. Lupo
Environ. Sci. Proc. 2021, 8(1), 28; https://doi.org/10.3390/ecas2021-10297
Published: 1 June 2021
(This article belongs to the Proceedings of The 4th International Electronic Conference on Atmospheric Sciences)
The issue of the quantification of thermal comfort or heat stress on humans is in vogue nowadays. This is evident for indices, which are trying to quantify these effects. Most known indices are PET, modified PET, SET*, PT and UTCI. All thermal indices require the same thermo-physiological and meteorological parameters. Air temperature, air humidity, wind speed, and short and long wave radiation fluxes in terms of mean radiant temperature are the required meteorological parameters. For human thermo-physiology, information about heat production and clothing are required. The meteorological parameters have to be available in appropriate spatial and temporal scales depending on the target and the specific issues demanded. The appropriate spatial and temporal resolution data cannot only be delivered by measurement stations. Meso and micro scale models, which compute meteorological parameter and thermal indices, can be helpful in the development of mitigation and adaptation strategies in the era of climate change. View Full-Text
Keywords: human biometeorology; thermal indices; modeling; heat stress; PET; mPET; UTCI human biometeorology; thermal indices; modeling; heat stress; PET; mPET; UTCI
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MDPI and ACS Style

Matzarakis, A.; Gangwisch, M.; Herbert, T. Modelling in Human Biometeorology: Spatial-Temporal Analysis of Thermal Indices. Environ. Sci. Proc. 2021, 8, 28. https://doi.org/10.3390/ecas2021-10297

AMA Style

Matzarakis A, Gangwisch M, Herbert T. Modelling in Human Biometeorology: Spatial-Temporal Analysis of Thermal Indices. Environmental Sciences Proceedings. 2021; 8(1):28. https://doi.org/10.3390/ecas2021-10297

Chicago/Turabian Style

Matzarakis, Andreas, Marcel Gangwisch, and Tim Herbert. 2021. "Modelling in Human Biometeorology: Spatial-Temporal Analysis of Thermal Indices" Environmental Sciences Proceedings 8, no. 1: 28. https://doi.org/10.3390/ecas2021-10297

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