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Urban Morphological Parameters of the Main Cities in China and Their Application in the WRF Model

Journal of advances in modeling earth systems, 2021-08, Vol.13 (8), p.n/a [Peer Reviewed Journal]

2021. The Authors. Journal of Advances in Modeling Earth Systems published by Wiley Periodicals LLC on behalf of American Geophysical Union. ;2021. This work is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1942-2466 ;EISSN: 1942-2466 ;DOI: 10.1029/2020MS002382

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  • Title:
    Urban Morphological Parameters of the Main Cities in China and Their Application in the WRF Model
  • Author: Sun, Yong ; Zhang, Ning ; Miao, Shiguang ; Kong, Fanhua ; Zhang, Yizhou ; Li, Nana
  • Subjects: Air temperature ; Buildings ; Canopies ; Canopy ; Central business districts ; Cities ; Datasets ; Distribution ; Energy balance ; Flooring ; Heat ; Mathematical models ; Morphology ; Neighborhoods ; Numerical models ; numerical simulation ; Parameters ; Probability distribution ; Probability theory ; Urban areas ; urban canopy model ; Urban climates ; urban morphological parameters ; Weather forecasting ; Width ; Wind speed ; WRF
  • Is Part Of: Journal of advances in modeling earth systems, 2021-08, Vol.13 (8), p.n/a
  • Description: As one of the effective ways to study urban climate and environmental problems, the performance of numerical model could be improved in urban areas by enhancing the description of urban morphology. One of the largest challenges faced by researchers is the lack of real urban canopy parameters (UCPs) to represent urban morphological characteristics. In this study, the urban morphological parameters were estimated and a high‐resolution urban morphological parameter data set for the main cities in China was developed. The results show that the distribution of urban morphological parameters is of regional characteristics and cities in China are mainly dominated by low‐rise buildings. Chinese cities can be broadly divided into two types based on the probability distribution of building height: single‐peak and double‐peak. The number of low‐rise buildings in single‐peak cities is much larger than that of double‐peak cities, which contributes to the difference between the two types of cities. The equivalent street width of northern cities in China is higher than that of southern cities, and the equivalent building width is almost the same. However, the default UCPs of the Weather Research and Forecasting (WRF) model distort the morphology of Chinese cities. The sensitivity of the WRF model to urban morphological parameters was also investigated in Nanjing. Overall, our results indicate that urban morphological parameters have a significant influence on the energy balance process in cities and improve the performance of the WRF model in simulating the air temperature and canopy wind speed. Plain Language Summary The urban morphological parameters are important for simulation in urban areas using numerical models. In this study, we develop a data set of the urban morphological parameters for the main cities in China. The regional characteristics of urban morphological parameters in China are summarized, and we find that Chinese cities can be divided into two types: single‐peak cities and double‐peak cities. The sensitivity of the urban canopy parameterization schemes of Weather Research and Forecasting (WRF) to the new data set is also investigated. The urban morphological parameters can significantly improve the performance of WRF in simulations of wind speed and temperature in urban areas compared with the default values in WRF. Key Points A data set of the urban morphological parameters for the main cities in China is developed The regional characteristics of urban morphological parameters in China are summarized The urban morphological parameters can improve the performance of Weather Research and Forecasting in simulations in urban areas compared with the default values
  • Publisher: Washington: John Wiley & Sons, Inc
  • Language: English
  • Identifier: ISSN: 1942-2466
    EISSN: 1942-2466
    DOI: 10.1029/2020MS002382
  • Source: Wiley Blackwell Open Access Titles
    ROAD: Directory of Open Access Scholarly Resources
    ProQuest Central
    DOAJ Directory of Open Access Journals
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