Articles | Volume 12, issue 11
Geosci. Model Dev., 12, 4571–4584, 2019
Geosci. Model Dev., 12, 4571–4584, 2019

Model evaluation paper 05 Nov 2019

Model evaluation paper | 05 Nov 2019

Model evaluation of high-resolution urban climate simulations: using the WRF/Noah LSM/SLUCM model (Version 3.7.1) as a case study

Zhiqiang Li et al.

Related authors

Incoming data quality control in high-resolution urban climate simulations: a Hong Kong–Shenzhen area urban climate simulation as a case study using the WRF/Noah LSM/SLUCM model (Version 3.7.1)
Zhiqiang Li, Bingcheng Wan, Yulun Zhou, and Hokit Wong
Geosci. Model Dev., 13, 6349–6360,,, 2020
Short summary

Related subject area

Climate and Earth System Modeling
FORTE 2.0: a fast, parallel and flexible coupled climate model
Adam T. Blaker, Manoj Joshi, Bablu Sinha, David P. Stevens, Robin S. Smith, and Joël J.-M. Hirschi
Geosci. Model Dev., 14, 275–293,,, 2021
Short summary
Optimization of the sulfate aerosol hygroscopicity parameter in WRF-Chem
Ah-Hyun Kim, Seong Soo Yum, Dong Yeong Chang, and Minsu Park
Geosci. Model Dev., 14, 259–273,,, 2021
Short summary
Updated European hydraulic pedotransfer functions with communicated uncertainties in the predicted variables (euptfv2)
Brigitta Szabó, Melanie Weynants, and Tobias K. D. Weber
Geosci. Model Dev., 14, 151–175,,, 2021
Short summary
Spin-up characteristics with three types of initial fields and the restart effects on forecast accuracy in the GRAPES global forecast system
Zhanshan Ma, Chuanfeng Zhao, Jiandong Gong, Jin Zhang, Zhe Li, Jian Sun, Yongzhu Liu, Jiong Chen, and Qingu Jiang
Geosci. Model Dev., 14, 205–221,,, 2021
Short summary
GTS v1.0: a macrophysics scheme for climate models based on a probability density function
Chein-Jung Shiu, Yi-Chi Wang, Huang-Hsiung Hsu, Wei-Ting Chen, Hua-Lu Pan, Ruiyu Sun, Yi-Hsuan Chen, and Cheng-An Chen
Geosci. Model Dev., 14, 177–204,,, 2021
Short summary

Cited articles

Bhati, S. and Mohan, M.: WRF model evaluation for the urban heat island assessment under varying land use/land cover and reference site conditions, J. Theor. Appl. Climatol., 126, 385–400, 2016. 
Bruyère, C. L., Done, J. M., Holland, G. J., and Fredrick, S.: Bias corrections of global models for regional climate simulations of high-impact weather, Clim. Dynam., 43, 1847–1856, 2014. 
Caldwell, P., Chin, H. N. S., Bader, D. C., and Bala, G.: Evaluation of a WRF dynamical downscaling simulation over California, Clim. Change, 95, 499–521, 2009. 
Dale, V. H.: The relationship between land-use change and climate change, Ecol. Appl., 7, 753–769, 1997. 
Department of economic and social affairs, United Nations: World urbanization prospects: The 2014 revision, highlights, United Nations, New York, 32 pp., available at: (last access: 14 April 2018), 2014. 
Short summary
This article proposes a methodological framework for the model evaluation of high-resolution urban climate simulations and demonstrates its effectiveness with a case study in a fast-urbanizing area (Shenzhen and Hong Kong SAR, China). It is intended to (again) remind urban climate modellers of the necessity of conducting systematic model evaluations in urban-scale climatology modelling and reduce ambiguous or arbitrary modelling practices.