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WRF (v4.0)–SUEWS (v2018c) coupled system: development, evaluation and application

Sun, T. ORCID:, Omidvar, H. ORCID:, Li, Z., Zhang, N., Huang, W., Kotthaus, S. ORCID:, Ward, H. C. ORCID:, Luo, Z. ORCID: and Grimmond, S. ORCID: (2024) WRF (v4.0)–SUEWS (v2018c) coupled system: development, evaluation and application. Geoscientific Model Development, 17 (1). pp. 91-116. ISSN 1991-9603

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To link to this item DOI: 10.5194/gmd-17-91-2024


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 in surface characteristics. Fluxes and mixed-layer height observations in the southern UK are used to evaluate a 2-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-sky days on both sites (for incoming and outgoing short- and long-wave radiation, QH and QE). Clear-sky seasonality is seen in the model performance: there is better absolute skill for QH and QE in autumn and winter, when there is a higher frequency of clear-sky days, than in spring and summer. As the WRF-modelled incoming short-wave 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.

Item Type:Article
Divisions:Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
ID Code:114895


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