Meteorological controls on daily variations of nighttime surface urban heat islands

Lai, Jiameng; Zhan, Wenfeng; Voogt, James A.; Quan, Jinling; Huang, Fan; Zhou, Ji; Bechtel, Benjamin; Hu, Leiqiu; Wang, Kaicun; Cao, Chengyu; Lee, Xuhui

doi:10.1016/j.rse.2020.112198

Cited by 45 publications

(34 citation statements)

References 86 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The temporal dynamics of both CUHI and SUHI can be mainly decomposed into inter-annual, intra-annual (i.e. the monthly/seasonal variations), and the day-to-day variations (Quan et al 2014, Lai et al 2021a, 2021bOke et al 2017, Zhou et al 2019. The UHIs are controlled primarily by factors such as urban geometry and structure, surface property, human activities at multiple time scales (Oke 1982, Phelan et al 2015, Fuladlu et al 2018, Qiao et al 2020, Yang et al 2021a.…”

Section: Introductionmentioning

confidence: 99%

“…The UHIs are controlled primarily by factors such as urban geometry and structure, surface property, human activities at multiple time scales (Oke 1982, Phelan et al 2015, Fuladlu et al 2018, Qiao et al 2020, Yang et al 2021a. They are also regulated by meteorological and climatic conditions such as wind speed (Wind), near-surface air temperature (SAT), specific humidity (SH), and precipitation (Peng et al 2012, Zhou et al 2016, Oke et al 2017, Yang et al 2021b, especially at the day-to-day scale (Lai et al 2021a, 2021b, Zhou et al 2010.…”

Section: Introductionmentioning

confidence: 99%

“…Higher rural soil moisture (SM) can decrease CUHI by weakening the nocturnal cooling of rural surfaces (Oke 2002). The day-to-day variation of SUHI can also be dominated by meteorological variables (Lai et al 2021b), owing to the surface-air interactions (Oke et al 2017). For instance, the wind can influence not only the near-SAT, but also the radiation cooling of land surface by altering the heat advection (Feng et al 2020).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Strong regulation of daily variations in nighttime surface urban heat islands by meteorological variables across global cities

She

Liu

Zhan

et al. 2022

Environ. Res. Lett.

Self Cite

View full text Add to dashboard Cite

Knowledge of the day-to-day dynamics of surface urban heat island (SUHI) as well as their underlying determinants is crucial to a better design of effective heat mitigation. However, there remains a lack of a globally comprehensive investigation of the responsiveness of SUHI variations to meteorological variables. Based on the MODIS LSTs and auxiliary data in 2017, here we investigated 10,000+ cities worldwide to reveal day-to-day SUHI intensity (SUHII) variations (termed as SUHIIdv) in response to meteorological variables using Google Earth Engine. We found that: (1) meteorological variables related to the thermal admittance, e.g., precipitation, specific humidity and soil moisture (represented by daily temperature range in rural area, DTRr), reveal a larger regulation on SUHIIdv than those related to the air conditions (e.g., wind speed and near-surface air temperature) over a global scale. (2) Meteorological regulations on SUHIIdv can differ greatly by background climates. The control of specific humidity on SUHIIdv is significantly strengthened in arid zones, while that of wind speed is weakened prominently in equatorial zones. SUHIIdv is more sensitive to soil moisture in cities with higher background temperatures. (3) All meteorological variables, except that related to soil moisture (DTRr), show larger impact on SUHIIdv with antecedent precipitation over the global scale. Precipitation is observed to mitigate the SUHIIdv globally, and such effects are even more pronounced in equatorial and arid zones. We consider that our findings should be helpful in enriching the knowledge of SUHI dynamics on multiple timescales.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Strong regulation of daily variations in nighttime surface urban heat islands by meteorological variables across global cities

She

Liu

Zhan

et al. 2022

Environ. Res. Lett.

Self Cite

View full text Add to dashboard Cite

show abstract

“…While city size has been reported to be important in regulating SUHII variations (Clinton & Gong, 2013; Imhoff et al., 2010; X. Li et al., 2017; B. Zhou et al., 2013), several studies have suggested the opposite (Heinl et al., 2015; S. Peng et al., 2012; D. Zhou et al., 2014). Some studies have reported that precipitation has a negative effect on SUHII (Lai et al., 2021; J. Zhou, Chen, et al., 2011), while others have indicated an intensifying effect (Zhao et al., 2014). The lack of studies providing an explanation for these conflicting findings hinders an in‐depth understanding of SUHII mechanisms, and it impedes the communication of the true importance of various SUHII controls within the urban climate community.…”

Section: Introductionmentioning

confidence: 99%

Reconciling Debates on the Controls on Surface Urban Heat Island Intensity: Effects of Scale and Sampling

Lai

Zhan

Quan

et al. 2021

Geophysical Research Letters

Self Cite

View full text Add to dashboard Cite

Variations in the surface urban heat island intensity (SUHII) are regulated mainly by three types of control: surface property, background climate (or weather) conditions, and overall urban metric. However, intensive debates arise over the relative importance of these three control types. Here, over 896 Chinese city clusters, we reconcile these debates by showing that the priorities of the three SUHII control types depend closely on the scale and sampling criteria, although they are all crucial in regulating SUHII variations. With increasing temporal scale, the contributions from climate (or weather) conditions decrease, while those from surface property and overall urban metric increase. We find no consistent ranking in the relative importance of these three control types on various spatial scales. The sampling style of city cluster also contributes to disagreements regarding SUHII controls. Our findings potentially help resolve the long‐standing debate on the relative importance of SUHII controls.

show abstract

“…References (Streutker 2002(Streutker , 2003Tran et al 2006) introduced a two-dimensional Gaussian surface fit model to simulate the multiple features of SUHII. While this technique can generate more UHI information about magnitude and spatial extents, it requires a prior extraction of a planar rural background upon which a Gaussian surface can be superimposed to model the spatial dynamic of SUHII across urban areas (Anniballe et al 2014;Lai et al 2021;Pereira Filho and Karam 2016;Yang et al 2019), and thus uncertainties might be induced by different definitions of rural extents (Li et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Modelling Inter-pixel Spatial Variation of Surface Urban Heat Island Intensity

Chen

2021

Preprint

View full text Add to dashboard Cite

Context Surface urban heat island intensity (SUHII) is a classical measure, which is sensitive to the selection of pixels/measurements representative of urban and rural areas, and overlooks pixel-level SUHII variation and thermodynamics of heterogeneous urban landscape. Accounting inter-pixel landscape heterogeneity in SUHII would capture inter-pixel thermodynamics and reveal complicated micro-thermal situations, contribute to assessment of potential heat risks at micro-pixel scale. Objectives This study develops [[EQUATION]] using pixel-based sharpening enhancement method. It integrates a pixel’s LST magnitude that reflects a city’s thermal context with local SUHII considering landscape variations and cognate thermal interactions of neighboring pixels. Methods [[EQUATION]] is constructed using MODIS LST product for Guangzhou (south China) in the summer season of 2015 through cloud-based GEE platform. Its effectiveness is tested using a bivariate choropleth map and Gaussian density curve with stepwise increments of the thermal influence from neighboring pixels. Results We found that (1) local SUHII variations are sensitive to the spatial configuration of a center pixel’s land use and that of its neighbors; (2) [[EQUATION]] makes more pronounced those spots that are heat per se (with higher original LST), but also receive additional heat load from adjacent pixels due to land-use homogeneity; (3) the effectiveness of [[EQUATION]] could be demonstrated by Gaussian density curve. Conclusions This paper proposed a new SHUII indicator, [[EQUATION]] , which models inter-pixel spatial variation of SHUI and highlights how neighboring pixels’ homogenous/heterogeneous land-use and associated thermal properties could affect center pixels’ thermal characteristics via either reinforcement or mitigation of heat load.

show abstract

Meteorological controls on daily variations of nighttime surface urban heat islands

Cited by 45 publications

References 86 publications

Strong regulation of daily variations in nighttime surface urban heat islands by meteorological variables across global cities

Strong regulation of daily variations in nighttime surface urban heat islands by meteorological variables across global cities

Reconciling Debates on the Controls on Surface Urban Heat Island Intensity: Effects of Scale and Sampling

Modelling Inter-pixel Spatial Variation of Surface Urban Heat Island Intensity

Contact Info

Product

Resources

About