Modeling Urban Heat Islands and Thermal Comfort During a Heat Wave Event in East China with CLM5 Incorporating Local Climate Zones

Li, Congyuan; Zhang, Ning; Wang, Yongwei

doi:10.1002/essoar.10512260.1

Cited by 1 publication

(9 citation statements)

References 24 publications

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“…As highlighted by Li et al. (2023), the CLM5‐LCZs did a reasonable job of simulating surface energy budget and thermal regimes in cities validated by observational fluxes from a flux tower measurement site and temperatures from automatic meteorological stations. The subgrid heterogeneity of the CLM5 consists of five land units: vegetated, lake, glacier, crop and urban, where physical state and flux variables are calculated separately with individual parameterizations but sharing identical atmospheric conditions over the same grid cell (Lawrence et al., 2018).…”

Section: Methodsmentioning

confidence: 72%

“…A newly developed urban canopy model based on the LCZs classification is utilized to simulate surface air and skin temperature, and other surface climate variables including surface heat or momentum fluxes in cities (Li et al., 2023). It is incorporated into the CLM5 (i.e., CLM5‐LCZs), the land surface component of the CESM2, by which the biophysical processes of the coupled urban‐biosphere system could be explored.…”

Section: Methodsmentioning

confidence: 99%

“…The detailed parameters for each of urban LCZs are available from Li et al. (2023). The area fractions and biophysical parameters of other non‐urban land‐use types are obtained from the default global data set within the CESM2 (Danabasoglu et al., 2020).…”

Section: Methodsmentioning

confidence: 99%

“…(2008) implemented the Community Land Model Urban, a single‐layer urban canopy model within the Community Land Model version 5 (CLM5) (Oleson & Feddema, 2020) as the land component of a global climate model — the Community Earth System Model version 2 (CESM2) (Danabasoglu et al., 2020). To further describe intra‐urban heterogeneity and standardize urban land cover, the Local Climate Zones (LCZs) classification system (Oke & Stewart, 2012) was incorporated into the CLM5 (i.e., CLM5‐LCZs), which has been proved reasonable to capture observed temperature and surface energy budgets in cities (Li et al., 2023).…”

Section: Introductionmentioning

confidence: 99%

“…According to Li et al. (2023), the contrasts of CUHI and SUHI intensity among different urban landscapes might exceed 1.7°C and 5.4°C. It remains largely unclear how urban landscapes alter the CUHI and SUHI hysteresis typologies.…”

Section: Introductionmentioning

confidence: 99%

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Biophysical Drivers of Seasonal Hysteresis of Urban Heat Islands Across Climates and Urban Landscapes

Li,

Zhang,

Ren

et al. 2024

JGR Atmospheres

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The phenomenon of seasonal hysteresis between urban heat islands (UHIs) and background surface temperature was reported in many studies, but a unifying explanation for the causes of its magnitude, shape and looping direction remained less clear, and the impacts of urban landscapes and background climate on such hysteresis were also the subject of enquiry. Here we performed a systematic study based on a long‐term offline simulation for surface energy budgets, surface air and skin temperature of the urban‐biosphere system in East China. It was carried out with an up‐to‐date land surface model — the CLM5‐LCZs (the Community Land Model version 5 (CLM5) coupled with a newly developed urban canopy model representing diverse urban landscapes with the local climate zones classification scheme). To isolate the causes of UHIs hysteresis, a simplified framework was constructed by combining a mathematical representation of grid/subgrid model outputs, the two‐resistance mechanism method and the time‐lagged cross correlation analysis. The results exhibited distinct hysteresis patterns of UHIs such as twisted, concave‐down, concave‐up and convex‐up curve across diverse background climates and urban landscapes. The basic shapes of hysteresis depict a gradual transition from concave/convex‐up to concave/convex‐down by characterized by a larger winter UHIs from a wetter and warmer climate to a drier and colder climate. Magnitude and seasonality of surface UHIs are separately dominated by the urban‐rural contrast of evapotranspiration and heat storage at daytime and nighttime, whereas across‐climate variations of daytime and nighttime surface UHIs hysteresis are regulated by the phase shift of convection efficiency and anthropogenic heat. Urban landscapes affect the hysteresis mainly by altering the amplitude rather than the shape of looping curves. Our work could provide a fuller picture of how to mitigate urban warming considering inter‐seasonal tradeoffs over a broader region.

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Section: Methodsmentioning

confidence: 72%

Section: Methodsmentioning

confidence: 99%