Articles | Volume 19, issue 19
https://doi.org/10.5194/gmd-19-9729-2026
https://doi.org/10.5194/gmd-19-9729-2026
Model evaluation paper
 | 
12 Oct 2026
Model evaluation paper |  | 12 Oct 2026

Process-based evaluation of green roof models for assessment of heat mitigation efficacy in WRF (v4.3.1) and EnergyPlus (v8.6.0)

Maria Martinez Mendoza, Alireza Saeedi, James A. Voogt, and E. Scott Krayenhoff

Data sets

Stand-alone EcoRoof (ERo, ERm) and WRF-MLGR model codes and evaluation datasets for "Process-based evaluation of green roof models for assessment of heat mitigation efficacy in WRF (v4.3.1) and EnergyPlus (v8.6.0)" M. Martinez Mendoza et al. https://doi.org/10.5281/zenodo.18688590

Model code and software

Stand-alone EcoRoof (ERo, ERm) and WRF-MLGR model codes and evaluation datasets for "Process-based evaluation of green roof models for assessment of heat mitigation efficacy in WRF (v4.3.1) and EnergyPlus (v8.6.0) M. Martinez Mendoza et al. https://doi.org/10.5281/zenodo.18688590

Interactive computing environment

Stand-alone EcoRoof (ERo, ERm) and WRF-MLGR model codes and evaluation datasets for "Process-based evaluation of green roof models for assessment of heat mitigation efficacy in WRF (v4.3.1) and EnergyPlus (v8.6.0) M. Martinez Mendoza et al. https://doi.org/10.5281/zenodo.18688590

Download
Short summary
Green roofs can help cool cities, but models must represent them accurately to quantify this potential. Yet few studies evaluate green roof models against real data. We evaluated two versions of EcoRoof, the green roof module in EnergyPlus, and a green roof option for WRF (Weather and Research Forecasting model) using measurements from London, Ontario. EcoRoof generally matched observed heat fluxes, surface temperature, and soil moisture, while WRF overestimated heat and underestimated cooling.
Share