This is the code for the algorithm developed by Dimiceli et al. (2011), a widely implemented method especially utilized by the NOAA National Weather Service for wet bulb globe temperature (WBGT) forecasts with its slight modifications. Despite its widespread use, accessing the algorithm's code has been challenging to me, and its description in the original publication is difficult to comprehend, especially regarding the units of the variables involved. So I'm sharing it here for greater accessibility and understanding!
The primary code file, 'Tg_Dimiceli.py', is straightforward to use. In the notebook 'Main01_Example_validation.ipynb', I provide an example of its usage and validate the values compared to the data presented in Dimiceli et al.'s paper (2011).
- Dimiceli, V.E., Piltz, S.F. and Amburn, S.A., 2011, October. Estimation of black globe temperature for calculation of the wet bulb globe temperature index. In Proceedings of the World Congress on Engineering and Computer Science (Vol. 2, pp. 19-21).
- Dimiceli, V.E. and Piltz, S.F., 2015. Estimation of Black Globe Temperature for Calculations of the WBGT Index. WBGT research paper.