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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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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.
Data sets

NCEP FNL Operational Model Global Tropospheric Analyses National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce https://rda.ucar.edu/datasets/ds083.2/

Completed Dataset and the New Static Data Released with v3.7 of WRF Preprocessing System (WPS) Geographical Input Data National Center for Atmospheric Researc http://www2.mmm.ucar.edu/wrf/users/download/get_sources_wps_geog.html

NASA EOSDIS Land Processes DAAC/USGS Earth Resources Observation and Science (EROS) Center: MODIS/Aqua Land Surface Temperature and Emissivity Daily L3 Global 1 km Grid SIN MODIS https://modis.gsfc.nasa.gov/data/dataprod/mod11.php

Model code and software

WRF–ARW modelling system packages UCAR http://www2.mmm.ucar.edu/wrf/users/download/get_source.html

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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...
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