This repository contains code to estimate wet-bulb globe temperatures (WBGT) in the shade and in the sun through 2060, developed as part of a collaborative project with The Washington Post. We wrote an explainer article that describes our methods and the resulting dataset, as well as a blog post on the importance of public access and transparency in climate data and services. To support reproducibility and further research, the code here is sufficient to run the entire analysis. The notebooks folder contains 10 Jupyter notebooks that, in sequence, show how we created our dataset, including the inputs and algorithms we used and all the assumptions that we made.