Research Brief: Geospatial data enables the accurate prediction of radiative heat transfer

A modeling image depicts surface temperatures around Penn Plaza in New York City.
November 29, 2017

The dynamics of an urban energy budget, especially the thermal exchange between densely built infrastructure and the surrounding environment, are not well understood. CSHub researchers have developed a heat transfer model for more precise prediction of urban surface temperatures that considers actual urban morphology obtained from geographic information system (GIS) data. The model may help close the knowledge gap regarding an understanding of the Earth’s energy budget. This research brief presents results from a study which mapped surface radiation from nearly 100 blocks in New York City on the West Side of Manhattan. Read more.