From WRF v4.3.x onward, Local Climate Zone land use classes can be read by default. See here for more info.
Python W2W (new version)
In order to 1) improve, and simplify the previous Fortran-based WUDAPT-to-WRF procedure (below), and 2) align this procedure more with the LCZ maps generated by the LCZ Generator, a new python-based WUDAPT-to-WRF tool is currently being developed.
A beta release of the tool is freely available here: https://github.com/matthiasdemuzere/w2w
A proper, citable documentation is currently being written. In case of questions or issues, please submit a new issue on the Github page.
Fortran W2W (old version)
A guide is available if you are interested in using WUDAPT with WRF. The guide has been prepared by Alberto Martilli, Oscar Brousse and Jason Ching.
When using this code, please cite:
Brousse, O., Martilli, A., Foley, M., Mills, G., & Bechtel, B. (2016). WUDAPT, an efficient land use producing data tool for mesoscale models? Integration of urban LCZ in WRF over Madrid. Urban Climate, 17(August), 116–134. https://doi.org/10.1016/j.uclim.2016.04.001