Enhancing Global‐Scale Urban Land Cover Representation Using Local Climate Zones in the Community Earth System Model

Abstract Urban areas are increasingly vulnerable to the impacts of climate change, necessitating accurate simulations of urban climates in Earth system models (ESMs) in support of large‐scale urban climate adaptation efforts. ESMs underrepresent urban areas due to their small spatial extent and the lack of detailed urban landscape data. To enhance the accuracy of urban representation, this study integrated the local climate zones (LCZs) scheme within the Community Earth System Model (CESM) to better represent urban heterogeneity. We adopted a modular approach to incorporate the 10 built LCZ classes into CESM as a new option in addition to the default urban three‐class scheme (i.e., tall building district, high density, and medium density). CESM simulations using the LCZ‐based urban characteristics were validated globally at 20 flux tower sites, showing site‐averaged improvement in modeling upward longwave radiation () and anthropogenic heat flux (), but increased uncertainties in modeling sensible heat flux (). The root‐mean‐square error between the observed and simulated using the LCZ decreased by 4% compared to using the default. Model sensitivity experiments revealed that and had comparable sensitivity to LCZ urban morphological and thermal parameter subsets. This study assessed and demonstrated the implementation as the starting point for future work on better resolving urban areas in Earth system modeling.

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Publication Details

Journal
Journal of Advances in Modeling Earth Systems
Published
2025-11-01
DOI
https://doi.org/10.1029/2025ms004934
Citations
1
Primary Topic
Urban Heat Island Mitigation
Type
article
Field-Weighted Citation Impact
0.80
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article

Enhancing Global‐Scale Urban Land Cover Representation Using Local Climate Zones in the Community Earth System Model

Gerald Mills, Lei Zhao, Matthias Demuzere, Zhonghua Zheng et al.
1 citations
Journal of Advances in Modeling Earth Systems
Urban Heat Island Mitigation
0.80
article

Enhancing Global‐Scale Urban Land Cover Representation Using Local Climate Zones in the Community Earth System Model

Gerald Mills, Lei Zhao, Matthias Demuzere, Zhonghua Zheng, David Topping, Keith W. Oleson, Ning Zhang, Yuan Sun
article en
1 citations

Abstract

Abstract Urban areas are increasingly vulnerable to the impacts of climate change, necessitating accurate simulations of urban climates in Earth system models (ESMs) in support of large‐scale urban climate adaptation efforts. ESMs underrepresent urban areas due to their small spatial extent and the lack of detailed urban landscape data. To enhance the accuracy of urban representation, this study integrated the local climate zones (LCZs) scheme within the Community Earth System Model (CESM) to better represent urban heterogeneity. We adopted a modular approach to incorporate the 10 built LCZ classes into CESM as a new option in addition to the default urban three‐class scheme (i.e., tall building district, high density, and medium density). CESM simulations using the LCZ‐based urban characteristics were validated globally at 20 flux tower sites, showing site‐averaged improvement in modeling upward longwave radiation () and anthropogenic heat flux (), but increased uncertainties in modeling sensible heat flux (). The root‐mean‐square error between the observed and simulated using the LCZ decreased by 4% compared to using the default. Model sensitivity experiments revealed that and had comparable sensitivity to LCZ urban morphological and thermal parameter subsets. This study assessed and demonstrated the implementation as the starting point for future work on better resolving urban areas in Earth system modeling.

Journal of Advances in Modeling Earth SystemsVol. 17(11)
University College Dublin (IE), NSF National Center for Atmospheric Research (US), China Meteorological Administration (CN), University of Illinois Urbana-Champaign (US), University of Manchester (GB), Research Applications (United States) (US), NSF NCAR Climate and Global Dynamics Laboratory (US), National Center for Supercomputing Applications (US), Nanjing University (CN)
Openalex Percentile: Top 23%
Urban Heat Island Mitigation
0.80
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