Published September 1, 2025
| Version v3
Software
Open
Training and Testing Data, Associated Code for UCNN(a deep learning-based urban canopy model designed for complex building morphologies)
Authors/Creators
Description
Data and codes for UCNN(Deep Learning-based Urban Canopy Model for Complex Building Morphologies)
Files
README.txt
Additional details
Related works
- Cites
- 10.5281/zenodo.5855305 (DOI)
- 10.5281/zenodo.7104984 (DOI)
Dates
- Accepted
-
2025-09-01
References
- Meyer, D. (2022). The WRF-TEB software repository (WRF-TEB-4.2.2). Zenodo. https://doi.org/10.5281/zenodo.5855305
- Mathew Lipson, Sue Grimmond, Martin Best, Winston Chow, Andreas Christen, Nektarios Chrysoulakis, Andrew Coutts, Ben Crawford, Stevan Earl, Jonathan Evans, Krzysztof Fortuniak, Bert G. Heusinkveld, Je-Woo Hong, Jinkyu Hong, Leena Järvi, Sungsoo Jo, Yeon-Hee Kim, Simone Kotthaus, Keunmin Lee, … Helen Claire Ward. (2022). Data for "Harmonized gap-filled dataset from 20 urban flux tower sites" for the Urban-PLUMBER project (版 v1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7104984