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Int J Biometeorol. 2018 Oct;62(10):1887-1900. doi: 10.1007/s00484-018-1591-6. Epub 2018 Aug 14.

Evaluation of thermal indices for their applicability in obstacle-resolving meteorology models.

Author information

1
Meteorological Institute, CEN, Universität Hamburg, Hamburg, Germany. jana.fischereit@uni-hamburg.de.
2
Meteorological Institute, CEN, Universität Hamburg, Hamburg, Germany.

Abstract

A thermally comfortable design of outdoor spaces favors social interaction and outdoor activities and thus contributes to the overall well-being of urban dwellers. To assess such a design, obstacle-resolving models (ORM) combined with thermal indices may be used. This paper reviews existing thermal indices to identify those suitable for thermal comfort assessment with ORMs. For the identification, 11 criteria and six index features are derived from literature analysis focusing on the characteristics of human environmental heat exchange, of outdoor urban environments, and of ORMs. An air temperature weighted world population distribution is calculated to derive the minimal air temperature range; a thermal index should cover to be applicable to 95% of the world population. The criteria are applied to 165 thermal indices by reviewing their original publications. Results show that only four thermal indices are suitable to be applied globally in their current form to various outdoor urban environments and also fulfill the requirements of ORMs. The evaluation of the index features shows that they differ with respect to the comprehensiveness of the thermophysiological model, the assessed human response, the treatment of clothing and activity, and the computational costs. Furthermore, they differ in their total application frequency in past ORM studies and in their application frequency for different climatic zones, as a systematic literature analysis of thermal comfort studies employing ORMs showed. By depicting the differences of the thermal indices, this paper provides guidance to select an appropriate thermal index for thermal comfort studies with ORMs.

KEYWORDS:

Index evaluation; Microscale model; Numerical atmospheric modeling; Outdoor; Thermal environment

PMID:
30109434
PMCID:
PMC6153498
DOI:
10.1007/s00484-018-1591-6
[Indexed for MEDLINE]
Free PMC Article

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