I have recently calculated pavement surface temperatures at different locations within an urban canyon and would like to use these temperatures as inputs for MRT calculations in order to estimate the spatial variation of MRT across the pavement surface.
However, I encountered an issue when assigning hundreds of different pavement temperature values to the MRT model. The resulting MRT distribution appears quite unusual and does not seem physically reasonable. I am not sure whether this is caused by a mismatch between the temperature values and their corresponding locations, a data structure issue, or some limitation in the workflow itself.
I would like to ask whether this approach is feasible in principle, and if so, whether you could help me check if there is something wrong with my implementation or data mapping process.
Any suggestions or guidance would be greatly appreciated.
Thank you very much for your time and help.
Sample Spatially Varying Pavement Temperatures in MRT Calculation.gh (118.1 KB)