Thermofeel: a python thermal comfort indices libraryBrimicombe, 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
It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1016/j.softx.2022.101005 Abstract/SummaryHere 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
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