Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.154 IF 5.154
  • IF 5-year value: 5.697 IF 5-year
    5.697
  • CiteScore value: 5.56 CiteScore
    5.56
  • SNIP value: 1.761 SNIP 1.761
  • IPP value: 5.30 IPP 5.30
  • SJR value: 3.164 SJR 3.164
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 59 Scimago H
    index 59
  • h5-index value: 49 h5-index 49
GMD | Articles | Volume 12, issue 11
Geosci. Model Dev., 12, 4571–4584, 2019
https://doi.org/10.5194/gmd-12-4571-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 12, 4571–4584, 2019
https://doi.org/10.5194/gmd-12-4571-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

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 subject area  
Climate and Earth System Modeling
OpenArray v1.0: a simple operator library for the decoupling of ocean modeling and parallel computing
Xiaomeng Huang, Xing Huang, Dong Wang, Qi Wu, Yi Li, Shixun Zhang, Yuwen Chen, Mingqing Wang, Yuan Gao, Qiang Tang, Yue Chen, Zheng Fang, Zhenya Song, and Guangwen Yang
Geosci. Model Dev., 12, 4729–4749, https://doi.org/10.5194/gmd-12-4729-2019,https://doi.org/10.5194/gmd-12-4729-2019, 2019
Short summary
Update and evaluation of the ozone dry deposition in Oslo CTM3 v1.0
Stefanie Falk and Amund Søvde Haslerud
Geosci. Model Dev., 12, 4705–4728, https://doi.org/10.5194/gmd-12-4705-2019,https://doi.org/10.5194/gmd-12-4705-2019, 2019
Short summary
GlobSim (v1.0): deriving meteorological time series for point locations from multiple global reanalyses
Bin Cao, Xiaojing Quan, Nicholas Brown, Emilie Stewart-Jones, and Stephan Gruber
Geosci. Model Dev., 12, 4661–4679, https://doi.org/10.5194/gmd-12-4661-2019,https://doi.org/10.5194/gmd-12-4661-2019, 2019
Short summary
Developing and optimizing shrub parameters representing sagebrush (Artemisia spp.) ecosystems in the northern Great Basin using the Ecosystem Demography (EDv2.2) model
Karun Pandit, Hamid Dashti, Nancy F. Glenn, Alejandro N. Flores, Kaitlin C. Maguire, Douglas J. Shinneman, Gerald N. Flerchinger, and Aaron W. Fellows
Geosci. Model Dev., 12, 4585–4601, https://doi.org/10.5194/gmd-12-4585-2019,https://doi.org/10.5194/gmd-12-4585-2019, 2019
Short summary
Description and evaluation of the Diat-HadOCC model v1.0: the ocean biogeochemical component of HadGEM2-ES
Ian J. Totterdell
Geosci. Model Dev., 12, 4497–4549, https://doi.org/10.5194/gmd-12-4497-2019,https://doi.org/10.5194/gmd-12-4497-2019, 2019
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: https://esa.un.org/unpd/wup/publications/files/wup2014-highlights.pdf (last access: 14 April 2018), 2014. 
Publications Copernicus
Download
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.
This article proposes a methodological framework for the model evaluation of high-resolution...
Citation