EGU24-3246, updated on 08 Mar 2024
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

WRF-SUEWS Coupled System: Development and Prospect

Ting Sun1,2, Hamidreza Omidvar2, Zhenkun Li3, Ning Zhang4, Wenjuan Huang3, Simone Kotthaus5, Helen Ward6, Zhiwen Luo7, and Sue Grimmond2
Ting Sun et al.
  • 1University College London, Institute for Risk and Disaster Reduction, London, United Kingdom of Great Britain – England, Scotland, Wales (
  • 2Department of Meteorology, University of Reading, Reading, UK
  • 3Shanghai Climate Centre, Shanghai, China
  • 4School of Atmospheric Sciences, Nanjing University, Nanjing, China
  • 5Institut Pierre-Simon Laplace, École Polytechnique, Palaiseau, France
  • 6Department of Atmospheric and Cryospheric Sciences, University of Innsbruck, Innsbruck, Austria
  • 7Welsh School of Architecture, Cardiff University, Cardiff, UK

We present the coupling of the Surface Urban Energy and Water Scheme (SUEWS) into the Weather Research and Forecasting (WRF) model, which includes pre-processing to capture spatial variability in surface characteristics. Fluxes and mixed layer height observations from southern UK were utilised to assess the WRF-SUEWS system over two-week periods across different seasons. Mean absolute errors are lower in residential Swindon compared to central London for turbulent sensible and latent heat fluxes (QH, QE), with increased accuracy on clear days at both locations. The model's performance exhibits clear seasonality, showing enhanced precision for QH and QE during autumn and winter due to more frequent clear days than in spring and summer. Using the coupled system, we explored how anthropogenic heat flux emissions affect boundary layer dynamics by contrasting areas with varying human activities within Greater London; higher emissions not only raise mixed layer heights but also create a warmer, drier near-surface atmosphere. Future updates will align the coupled system with the latest SUEWS version, focusing on detailed surface-layer diagnostics that can support various urban climate applications such as building energy modelling and human thermal comfort assessments.

How to cite: Sun, T., Omidvar, H., Li, Z., Zhang, N., Huang, W., Kotthaus, S., Ward, H., Luo, Z., and Grimmond, S.: WRF-SUEWS Coupled System: Development and Prospect, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-3246,, 2024.