Abstract
Accurate fog prediction in densely urbanized cities poses a challenge due to the complex influence of urban morphology on meteorological conditions in the urban roughness sublayer. This study implemented a coupled WRF-Urban Asymmetric Convective Model (WRF-UACM) for Delhi, India, integrating explicit urban physics with Sentinel-updated USGS land-use and urban morphological parameters derived from the UT-GLOBUS dataset. When evaluated against the baseline Asymmetric Convective Model (WRF-BACM) using Winter Fog Experiment (WiFEX) data, WRF-UACM significantly improved urban meteorological variables such as diurnal variations in 10-m wind speed, 2-m air temperature (T2), and 2-m relative humidity (RH2) during a fog event. UACM also demonstrates improved accuracy in simulating temperature and significantly reducing biases for wind speed and daytime RH2 under clear sky conditions. UACM reproduced the nighttime urban heat island effect within the city, showing realistic diurnal heating and cooling patterns that are important for accurate fog onset and duration. UACM effectively predicts the onset, evolution, and dissipation of fog, aligning well with observed data and satellite imagery. Compared to WRF-BACM, WRF-UACM reduces the cold bias soon after sunset, thus improving the fog onset error by ∼3 hr. This study highlights the UACM's potential to improve fog prediction and its application in operational settings. with further investigation into different fog types, the UACM can provide crucial insights for preventive measures and reducing disruptions in urban areas.
Recommended Citation
U. P. Bhautmage and S. D. Ghude and A. N. Parde and H. G. Kamath and N. Gokul Dhangar and J. Pleim and M. Mau Fung Wong and S. Wagh and R. Kumar and D. Niyogi and M. Rajeevan, "Implementation of Wrf-Urban Asymmetric Convective Model (Uacm) for Simulating Urban Fog over Delhi, India," Journal of Geophysical Research: Atmospheres, vol. 129, no. 20, article no. e2024JD040760, American Geophysical Union; Wiley, Oct 2024.
The definitive version is available at https://doi.org/10.1029/2024JD040760
Department(s)
Biological Sciences
Publication Status
Full Access
Keywords and Phrases
boundary layer meteorology; fog; urban canopy parameterization; urban heat island; urban morphological parameters; WRF model
International Standard Serial Number (ISSN)
2169-8996; 2169-897X
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2025 American Geophysical Union; Wiley, All rights reserved.
Publication Date
28 Oct 2024
Comments
India Meteorological Department, Grant None