Published October 14, 2025 | Version v1

WRF-UACM Multilayer Urban Canopy Model (Fortran Code)

  • 1. ROR icon National University of Singapore
  • 2. HKUST

Contributors

Project member:

Supervisor:

  • 1. ROR icon National University of Singapore
  • 2. HKUST

Description

The WRF-UACM model is an advanced atmospheric forecasting system that combines the Weather Research and Forecasting (WRF) model with the specialized Urban Asymmetric Convective Model (UACM). The UACM is a multilayer urban canopy model that explicitly accounts for complex urban geometry, such as street canyons and building layouts, to improve simulations of urban atmospheric processes. This integrated model provides more accurate predictions of urban phenomena like the Urban Heat Island (UHI) effect, extreme rainfall, and fog formation and dissipation, offering enhanced realism for both research and operational forecasting in densely urbanized areas. Compared to simpler urban models, WRF-UACM has demonstrated significant improvements in forecasting variables like wind speed, temperature, and relative humidity, while remaining computationally efficient. This software provides a code package for implementing the UACM model within the WRF model framework. For any further details on implementing the model, contact Dr. Utkarsh P. Bhautmage (upbhautmage@connect.ust.hk OR yukimicky7@gmail.com)

Files

dhlurb_utk.txt

Files (1.9 MB)

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Additional details

Dates

Created
2025-10-14
Model Code Files

Software

Programming language
Fortran
Development Status
Active

References

  • Bhautmage, U. P., Fung, J. C. H., Pleim, J., & Wong, M. M. F. (2022). Development and evaluation of a new urban parameterization in the weather research and forecasting (WRF) model. Journal of Geophysical Research: Atmospheres, 127(16), e2021JD036338.
  • Bhautmage, U. P., Ghude, S. D., Parde, A. N., Kamath, H. G., Gokul Dhangar, N., Pleim, J., ... & Rajeevan, M. (2024). Implementation of WRF‐urban asymmetric Convective Model (UACM) for simulating urban fog over Delhi, India. Journal of Geophysical Research: Atmospheres, 129(20), e2024JD040760.