2018
DOI: 10.1021/acs.est.8b00732
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Systematic Comparison of the Influence of Cool Wall versus Cool Roof Adoption on Urban Climate in the Los Angeles Basin

Abstract: This study for the first time assesses the influence of employing solar reflective "cool" walls on the urban energy budget and summertime climate of the Los Angeles basin. We systematically compare the effects of cool walls to cool roofs, a heat mitigation strategy that has been widely studied and employed, using a consistent modeling framework (the Weather Research and Forecasting model). Adoption of cool walls leads to increases in urban grid cell albedo that peak in the early morning and late afternoon, whe… Show more

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Cited by 35 publications
(42 citation statements)
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References 42 publications
(50 reference statements)
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“…Where NUDAPT data are unavailable, we use aver-age building and road morphology for three urban categories from the Los Angeles Region Imagery Acquisition Consortium (LARIAC). Details on the generation of averaged urban morphology parameters from real-world GIS datasets can be found in Zhang et al (2018a). For the other parameters in the UCM (e.g., anthropogenic latent heat, surface emissivity), we use default WRF settings documented in file URB-PARM.TBL.…”
Section: Land Surface Property Characterization and Irrigation Paramementioning
confidence: 99%
“…Where NUDAPT data are unavailable, we use aver-age building and road morphology for three urban categories from the Los Angeles Region Imagery Acquisition Consortium (LARIAC). Details on the generation of averaged urban morphology parameters from real-world GIS datasets can be found in Zhang et al (2018a). For the other parameters in the UCM (e.g., anthropogenic latent heat, surface emissivity), we use default WRF settings documented in file URB-PARM.TBL.…”
Section: Land Surface Property Characterization and Irrigation Paramementioning
confidence: 99%
“…Where NUDAPT data are unavailable, we use average building and road morphology for three urban categories from the Los Angeles Region Imagery Acquisition Consortium (LARIAC). Details on the generation of averaged urban morphology parameters from real-world GIS datasets can be found in Zhang et al (2018a). Note that the original gaseous dry deposition code based on Wesely (1989) is only compatible with the default 24-category U.S. Geological Survey (USGS) global land cover map.…”
Section: Land Surface Property Characterization and Process Parametermentioning
confidence: 99%
“…Raising urban albedo (solar reflectance) increases the fraction of incident sunlight returned to outer space, cooling cities and their buildings [1,2]. It can also reduce atmospheric temperature via negative radiative forcing, abating global warming [3][4][5][6].…”
Section: Introductionmentioning
confidence: 99%