Urban weather modeling using WRF: linking physical assumptions, code implementation, and observational needs

Joshi, Parag; Lin, Tzu-Shun; He, Cenlin; Lamer, Katia

doi:https://doi.org/10.5194/gmd-18-7869-2025

Articles | Volume 18, issue 20

https://doi.org/10.5194/gmd-18-7869-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-18-7869-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 20

Methods for assessment of models

|

27 Oct 2025

Methods for assessment of models |

| 27 Oct 2025

Urban weather modeling using WRF: linking physical assumptions, code implementation, and observational needs

Parag Joshi, Tzu-Shun Lin, Cenlin He, and Katia Lamer

Supplement

https://doi.org/10.5194/gmd-18-7869-2025-supplement

Data sets

ERA5 Reanalysis (0.25 Degree Latitude-Longitude Grid) European Centre for Medium-Range Weather Forecasts https://doi.org/10.5065/BH6N-5N20

WRF urban canopy models simulations dataset Tzu-Shun Lin et al. https://doi.org/10.5281/zenodo.15191965

Short summary

Present study revisits model that represent urban effects in the Weather Research & Forecasting model. We propose methods to identify evaluable parameters via field measurements and found inconsistencies between physics and its code implementation. Simulations reveal small errors can significantly impact outputs.