Assessing urban drivers of canopy layer urban heat island: A numerical modeling approach

Kotharkar, Rajashree; Bagade, Anurag; Ramesh, Aparna

doi:10.1016/j.landurbplan.2019.05.017

Cited by 55 publications

(17 citation statements)

References 46 publications

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“…In addition, statistical modeling approaches are also employed as an alternative to numerical models for explaining the UHI phenomenon. However, these approaches have limited ability in explaining the underlying mechanisms, which can be examined using physicsbased models (Su et al, 2012;Doick et al, 2014;Ho et al, 2014;Ivajnšič et al, 2014;Quan et al, 2014;Guo et al, 2015;Kotharkar et al, 2019).…”

Section: Urban Heat Island Intensitymentioning

confidence: 99%

Urbanization Impact on Regional Climate and Extreme Weather: Current Understanding, Uncertainties, and Future Research Directions

et al. 2022

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Urban environments lie at the confluence of social, cultural, and economic activities and have unique biophysical characteristics due to continued infrastructure development that generally replaces natural landscapes with built-up structures. The vast majority of studies on urban perturbation of local weather and climate have been centered on the urban heat island (UHI) effect, referring to the higher temperature in cities compared to their natural surroundings. Besides the UHI effect and heat waves, urbanization also impacts atmospheric moisture, wind, boundary layer structure, cloud formation, dispersion of air pollutants, precipitation, and storms. In this review article, we first introduce the datasets and methods used in studying urban areas and their impacts through both observation and modeling and then summarize the scientific insights on the impact of urbanization on various aspects of regional climate and extreme weather based on more than 500 studies. We also highlight the major research gaps and challenges in our understanding of the impacts of urbanization and provide our perspective and recommendations for future research priorities and directions.

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Section: Urban Heat Island Intensitymentioning

confidence: 99%

Urbanization Impact on Regional Climate and Extreme Weather: Current Understanding, Uncertainties, and Future Research Directions

et al. 2022

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“…The definition of UHIs is simple, but attribution is complicated. From a “bottom‐up” perspective, urban morphological parameters such as impervious surface ratio, surface albedo, street canyon aspect ratio, and vegetation density are major predictors explaining UHI response (Kotharkar et al ., 2019). From a “top‐down” point of view, meteorological characteristics and synoptic conditions including precipitation, wind, cloud cover, fog, air pollution, and haze affect the intensity and magnitude of UHIs (He, 2018).…”

Section: Discussionmentioning

confidence: 99%

Urban heat islands in Hong Kong: Bonding with atmospheric stability

Wang

Chen

et al. 2021

Atmospheric Science Letters

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A barrier to urban heat island (UHI) mitigation is the lack of quantitative attribution of the various contributions to UHI intensity. This study demonstrates the daily and seasonal dynamics of UHIs in Hong Kong, a subtropical highdensity city. The nocturnal UHIs of the city are grouped according to various dynamic stability conditions (neutral, weak stable, and strong stable) of the boundary layer. Results indicate that the stronger the atmospheric stability, the more intense the UHI. The atmospheric anomalies linked to these stability classifications are hence revealed. In summer, nights of neutral (strong stable) stratification are controlled by low (high) pressure with rising (sinking) motion, less (more) precipitation, and lower (higher) air temperature at the surface. In winter, the influence of the large-scale circulation system of the East Asian winter monsoon is significant. In the upper layer, the East Asian jet stream retreats westward (is displaced northward) on nights with neutral (strong stable) atmospheric stratification. At the surface, southeast China is hot and humid on neutral nights, while on strong stable nights, the coastal regions of southeast China are dry, and East Asia is dominated by positive surface air temperature anomalies. Atmospheric anomalies are generally nonsignificant on nights with weak stable stratification in both summer and winter. These findings provide potential predictors for UHI intensity.

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“…Some of these studies have also pointed out the need for assessing the performance of the LCZs, rather than just confirming that they display different trends. More specifically, they have focused on evaluating whether the differences between LCZs are statistically significant (Beck et al, 2018;Fenner et al, 2017;Leconte et al, 2020;Richard et al, 2018), if they concentrate at certain times of the year or under specific meteorological conditions (Arnds et al, 2017;Thomas et al, 2014;Yang et al, 2018), or if other parameters might affect the LCZs inter-and intra-variability (Kotharkar et al, 2019;Kwok et al, 2019;Leconte et al, 2017). However, research on the topic is still scarce and limited to a specific climatic context (mostly Cf, humid and warm temperate climates), and in some cases is based on short datasets.…”

Section: Using Local Climate Zones For Contextualising and Characteri...mentioning

confidence: 99%

Hourly evolution of intra-urban temperature variability across the local climate zones. The case of Madrid

2021

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Assessing urban drivers of canopy layer urban heat island: A numerical modeling approach

Cited by 55 publications

References 46 publications

Urbanization Impact on Regional Climate and Extreme Weather: Current Understanding, Uncertainties, and Future Research Directions

Urbanization Impact on Regional Climate and Extreme Weather: Current Understanding, Uncertainties, and Future Research Directions

Urban heat islands in Hong Kong: Bonding with atmospheric stability

Hourly evolution of intra-urban temperature variability across the local climate zones. The case of Madrid

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