Thermofeel: a python thermal comfort indices library

Brimicombe, C., Di Napoli, C., Quintino, T., Pappenberger, F., Cornforth, R. ORCID: https://orcid.org/0000-0003-4379-9556 and Cloke, H. L. ORCID: https://orcid.org/0000-0002-1472-868X (2022) Thermofeel: a python thermal comfort indices library. SoftwareX, 18. 101005. ISSN 2352-7110 doi: 10.1016/j.softx.2022.101005

Abstract/Summary

Here the development of the python library thermofeel is described. thermofeel was developed so that prominent internationally used thermal indices (i.e. Universal Thermal Climate Index and Wet Bulb Globe Temperature) could be implemented into operational weather forecasting systems (i.e. the European Centre for Medium Range Weather Forecasts) whilst also adhering to open research practices. This library will be of benefit to many sectors including meteorology, sport, health and social care, hygiene, agriculture and building. In addition, it could be used in heat early warning systems which, with the right preparedness measures, has the potential to save lives from thermal extremes

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/103041
Identification Number/DOI	10.1016/j.softx.2022.101005
Refereed	Yes
Divisions	Interdisciplinary Research Centres (IDRCs) > Walker Institute Science > School of Archaeology, Geography and Environmental Science > Department of Geography and Environmental Science Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology Life Sciences > School of Agriculture, Policy and Development > Department of International Development
Publisher	Elsevier
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