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Enhancing Urban Climate‐Energy Modeling in the Community Earth System Model (CESM) Through Explicit Representation of Urban Air‐Conditioning Adoption

Authors :
Xinchang “Cathy” Li
Lei Zhao
Keith Oleson
Yuyu Zhou
Yue Qin
Keer Zhang
Bowen Fang
Source :
Journal of Advances in Modeling Earth Systems, Vol 16, Iss 4, Pp n/a-n/a (2024)
Publication Year :
2024
Publisher :
American Geophysical Union (AGU), 2024.

Abstract

Abstract Improved representation of urban processes in Earth System Models (ESMs) is a pressing need for climate modeling and climate‐driven urban energy studies. Despite recent improvements to its fully coupled Building Energy Model (BEM), the current Community Land Model Urban (CLMU) in the Community Earth System Model (CESM) lacks the infrastructure to model air‐conditioning (AC) adoption explicitly. This undermines CESM's fidelity in modeling urban climate and energy use, and limits its use in climate and energy risk assessments. Here, we establish a new parameterization scheme in CESM that represents AC adoption explicitly through an AC adoption rate parameter in the BEM of CLMU, and build a present‐day, global, survey‐based, and spatially explicit AC adoption rate data set at country and sub‐country level that is integrated within CESM. The new data set can be leveraged for other ESMs or global‐scale models and analyses. The explicit AC adoption scheme and the AC adoption rate data set significantly improve the accuracy of anthropogenic heat modeling due to AC in CESM. The new parameterization scheme makes it possible to evaluate the effects of changing AC adoption on global urban energy and climate using CESM. These developments enhance CESM in its use for climate impact assessments under future climate and socioeconomic development scenarios, and represent continued efforts in better representing urban processes and coupled human‐urban‐Earth dynamics in ESMs.

Details

Language :
English
ISSN :
19422466
Volume :
16
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Journal of Advances in Modeling Earth Systems
Publication Type :
Academic Journal
Accession number :
edsdoj.24c5d2b84ed04ccb91964e3002ed9dd2
Document Type :
article
Full Text :
https://doi.org/10.1029/2023MS004107