Thermofeel: A python thermal comfort indices library
Chloe Brimicombe,
Claudia Di Napoli,
Tiago Quintino,
Florian Pappenberger,
Rosalind Cornforth,
Hannah L. Cloke
Affiliations
Chloe Brimicombe
Department of Geography and Environmental Science, University of Reading, Reading, RG6 6AB, UK; European Centre for Medium-Range Weather Forecasts (ECMWF), Shinfield Park, Reading, RG2 9AX, UK; Walker Institute, University of Reading, Reading, RG6 6AR, UK; Corresponding author at: Department of Geography and Environmental Science, University of Reading, Reading, RG6 6AB, UK.
Claudia Di Napoli
School of Agriculture, Policy and Development, University of Reading, Reading, RG6 6EU, UK; Department of Geography and Environmental Science, University of Reading, Reading, RG6 6AB, UK
Tiago Quintino
European Centre for Medium-Range Weather Forecasts (ECMWF), Shinfield Park, Reading, RG2 9AX, UK
Florian Pappenberger
European Centre for Medium-Range Weather Forecasts (ECMWF), Shinfield Park, Reading, RG2 9AX, UK
Rosalind Cornforth
Walker Institute, University of Reading, Reading, RG6 6AR, UK
Hannah L. Cloke
Department of Geography and Environmental Science, University of Reading, Reading, RG6 6AB, UK; Department of Meteorology, University of Reading, Reading RG6 6UR, UK; Department of Earth Sciences, Uppsala University, SE-751 05 Uppsala, Sweden; Centre of Natural Hazards and Disaster Science, CNDS, SE-751 05 Uppsala, Sweden
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.
