Thermofeel: A python thermal comfort indices library

Abstract

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.

Keywords

• Heat
• Cold
• Thermal comfort
• Weather forecasting
• Python