Submitted as: development and technical paper
18 Jul 2023
Submitted as: development and technical paper |  | 18 Jul 2023
Status: this preprint is currently under review for the journal GMD.

WRF (v4.0)-SUEWS (v2018c) Coupled System: Development, Evaluation and Application

Ting Sun, Hamidreza Omidvar, Zhenkun Li, Ning Zhang, Wenjuan Huang, Simone Kotthaus, Helen C. Ward, Zhiwen Luo, and Sue Grimmond

Abstract. The process of coupling the Surface Urban Energy and Water Scheme (SUEWS) into the Weather research and forecasting (WRF) model is presented, including pre-processing of model parameters to represent spatial variability of surface characteristics. Fluxes and mixed layer height observations in the southern UK are used to evaluate a two-week period in each season. Mean absolute errors, based on all periods, are smaller in residential Swindon than central London for turbulent sensible and latent heat fluxes (QH, QE) with greater skill on clear days at both sites (for incoming and outgoing short- and longwave radiation, QH and QE). Clear seasonality is seen in the model performance: with better absolute skill for QH and QE in autumn and winter, when there is a higher frequency of clear days, than in spring and summer. As the WRF-modelled incoming shortwave radiation has large errors, we apply a bulk transmissivity derived from local observations to reduce the incoming short-wave radiation input to the land surface scheme – this could correspond to increased presence of aerosols in cities. We use the coupled WRF-SUEWS system to investigate impacts of the anthropogenic heat flux emissions on boundary layer dynamics by comparing areas with contrasting human activities (central-commercial and residential areas) in Greater London - larger anthropogenic heat emissions not only elevate the mixed layer heights but also lead to a warmer and drier near-surface atmosphere.

Ting Sun et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2023-117', Anonymous Referee #1, 11 Sep 2023
  • RC2: 'Comment on gmd-2023-117', Anonymous Referee #2, 02 Oct 2023

Ting Sun et al.

Data sets

WRF(v4.0)-SUEWS(2018c): input data for the evaluation at two UK sites Ting Sun; Hamidreza Omidvar; Sue Grimmond

Model code and software

WRF-SUEWS source code for GMD submission Ting Sun; Hamidreza Omidvar; Zhenkun Li; Sue Grimmond

Ting Sun et al.


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Short summary
For the first time, we coupled a state-of-the-art urban land surface model – Surface Urban Energy and Water Scheme (SUEWS) – with the widely-used Weather Research and Forecasting (WRF) model, creating an open-source tool that may benefit multiple applications. We tested our new system at two UK sites and demonstrated its potential by examining how human activities in various areas of Greater London influence local weather conditions.