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Atmosphere 2018, 9(6), 209; https://doi.org/10.3390/atmos9060209

Spatial Estimation of Thermal Indices in Urban Areas—Basics of the SkyHelios Model

1
Research Center Human Biometeorology, German Meteorological Service (DWD), Stefan-Meier-Str. 4, 79104 Freiburg, Germany
2
Faculty of Environment and Natural Resources, Albert-Ludwigs-University, 79085 Freiburg, Germany
*
Author to whom correspondence should be addressed.
Received: 19 March 2018 / Revised: 16 May 2018 / Accepted: 24 May 2018 / Published: 29 May 2018
(This article belongs to the Special Issue Atmospheric Effects on Humans—EMS 2017 Session)
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Abstract

Thermal perception and stress for humans can be best estimated based on appropriate indices. Sophisticated thermal indices, e.g., the Perceived Temperature (PT), the Universal Thermal Climate Index (UTCI), or the Physiologically Equivalent Temperature (PET) do require the meteorological input parameters air temperature ( T a ), vapour pressure ( V P ), wind speed (v), as well as the different short- and longtime radiation fluxes summarized as the mean radiant temperature ( T m r t ). However, in complex urban environments, especially v and T m r t are highly volatile in space. They can, thus, only be estimated by micro-scale models. One easy way to apply the model for the determination of thermal indices within urban environments is the advanced SkyHelios model. It is designed to estimate sky view factor ( S V F ), sunshine duration, global radiation, wind speed, wind direction, T m r t considering reflections, as well as the three thermal indices PT, UTCI, and PET spatially and temporarily resolved with low computation time. View Full-Text
Keywords: SkyHelios; micro scale; mean radiant temperature; thermal indices; urban biometeorology SkyHelios; micro scale; mean radiant temperature; thermal indices; urban biometeorology
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Fröhlich, D.; Matzarakis, A. Spatial Estimation of Thermal Indices in Urban Areas—Basics of the SkyHelios Model. Atmosphere 2018, 9, 209.

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