EGU2020-3225
https://doi.org/10.5194/egusphere-egu2020-3225
EGU General Assembly 2020
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

High-resolution Simulations of a Hot-and-polluted Event with Detailed Local Climate Zone Information over the Greater Bay Area in South China

Junwen Chen1, Chi-Yung Tam2,1, Steve H.L. Yim3,1, Meng Cai4, Ran Wang4, Xinwei Li5, Chao Ren5, Tuantuan Zhang1, and Peng Gao6
Junwen Chen et al.
  • 1Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Hong Kong, China
  • 2Earth System Science, The Chinese University of Hong Kong, Hong Kong, China
  • 3Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong, China
  • 4School of Architecture, The Chinese University of Hong Kong, Hong Kong, China
  • 5Faculty of Architecture, University of Hong Kong, Hong Kong, China
  • 6Meteorological Bureau of Liupanshui, Guizhou, China

A new 10-type urban Local Climate Zone (LCZ) classification with 100-m resolution was developed, following the guidelines of the World Urban Database and Access Portal Tools (WUDAPT) over the Greater Bay Area (GBA). This LCZ dataset was incorporated into the Building Environment Parameterization (BEP)-Building Energy Model (BEM) multi-layer urban canopy scheme used by the Weather Research and Forecasting (WRF) model, with key parameters (such as fraction of impervious surface, building height/width, road width, air conditioning usage) determined from local building morphology and energy consumption patterns. The impacts of using such detailed 10-type LCZ, as compared to using remapped 3-type LCZ and using default WRF 1-type urban land cover were assessed, based on parallel integrations of the WRF system at 1-km resolution for a historical hot-and-polluted event over the GBA. It was found that the model surface temperature, air temperature, humidity and wind speed in the 10-type LCZ run were in closer agreement with in-situ observations, demonstrating the value of detailed urban LCZ data in improving the model performance. Smaller diurnal temperature range and higher nighttime temperature were found in the 10-type LCZ run compared to the 3-type LCZ and 1-type runs. Increased building height in the 10-type LCZ setting also reduces positive bias of wind speed in the lower planetary boundary layer at urban locations. The cold and dry biases over the non-urban areas in the 10-type LCZ run could be further reduced through considering updated land cover, soil type, soil hydraulic/thermal parameters, soil moisture/temperature. Owing to the improvement in capturing the urban meteorology, incorporating more detailed LCZ classification might also improve air-quality simulations. These findings should be relevant to the development of comprehensive, high-resolution earth system models, which are an indispensable tool for mitigation of and adaption to regional environmental and climate changes.

How to cite: Chen, J., Tam, C.-Y., Yim, S. H. L., Cai, M., Wang, R., Li, X., Ren, C., Zhang, T., and Gao, P.: High-resolution Simulations of a Hot-and-polluted Event with Detailed Local Climate Zone Information over the Greater Bay Area in South China, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3225, https://doi.org/10.5194/egusphere-egu2020-3225, 2020.

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