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

Lai, Jiameng; Zhan, Wenfeng; Quan, Jinling; Liu, Zihan; Li, Long; Huang, Fan; Hong, Falu; Liao, Weilin

doi:10.1029/2021gl094485

Cited by 12 publications

(5 citation statements)

References 59 publications

(172 reference statements)

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Section: Our Results Provide Direct Evidence For the Clear-sky Overes...mentioning

confidence: 99%

“…This study addresses this research gap by conducting quantitative analysis on a global scale, offering direct evidence for the overestimation of the SUHI effect when relying on the LST observations under clear‐sky conditions. More crucially, existing studies investigating the spatiotemporal patterns and driving factors of the SUHI effect primarily rely on clear‐sky LST data (Cao et al., 2016; Chakraborty & Lee, 2019; Clinton & Gong, 2013; Du et al., 2023; Gui et al., 2019; Imhoff et al., 2010; Lai et al., 2018b, 2021a; X. Li et al., 2023; Y. Liu et al., 2021, 2023; Z. Liu et al., 2022a, 2022b; S. Peng et al., 2012; Quan et al., 2016; Q. Yang et al., 2017, 2019, 2023a; C. Yang & Zhao, 2023; Yao, Wang, Huang, Chen, et al., 2018; Yao et al., 2019; B. Zhou et al., 2013, 2017; D. Zhou et al., 2014, 2016). The findings from these studies could benefit from the updates to integrate the differences in their spatial patterns between clear‐sky and all‐sky SUHIIs.…”

Section: Discussionmentioning

confidence: 99%

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Satellite Clear‐Sky Observations Overestimate Surface Urban Heat Islands in Humid Cities

Yang,

Xu,

Wen

et al. 2024

Geophysical Research Letters

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Satellite‐based thermal infrared (TIR) land surface temperature (LST) is hindered by cloud cover and is applicable solely under clear‐sky conditions for estimating surface urban heat island intensity (SUHII). Clear‐sky SUHII may not accurately represent all‐sky conditions, potentially introducing quantitative biases in assessing urban heat islands. However, the differences between clear‐sky and all‐sky SUHIIs and their spatiotemporal variations are still poorly understood. Our analysis of over 600 global cities demonstrates that clear‐sky SUHII is mostly higher than all‐sky SUHII, particularly in summer, daytime, and precipitation‐rich regions. Besides, clear‐sky SUHII typically exhibits stronger seasonal and diurnal contrasts than all‐sky SUHII, especially for cities located in humid regions. These discrepancies can be attributed mainly to the increased missing LST data caused by cloud enhancement in urban areas. Our findings highlight the tendency for clear‐sky observations to overestimate SUHII, providing valuable insights for standardizing the quantification of surface urban heat islands.

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Section: Our Results Provide Direct Evidence For the Clear-sky Overes...mentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Satellite Clear‐Sky Observations Overestimate Surface Urban Heat Islands in Humid Cities

Yang,

Xu,

Wen

et al. 2024

Geophysical Research Letters

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“…A total of 10 morphological [34][35][36], socioeconomic [27,37], and meteorological [37] factors were selected for the geodetector-based attribution analysis. For the sake of brevity, their details are listed in Table 1, and spatial distributions are shown in Figure 2.…”

Section: Driving Factorsmentioning

confidence: 99%

Identifying Major Diurnal Patterns and Drivers of Surface Urban Heat Island Intensities across Local Climate Zones

Guan,

Quan,

et al. 2023

Remote Sensing

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Deepening the understanding of diurnal characteristics and driving mechanisms of surface urban heat islands (SUHIs) across different local climate zones (LCZs) and time scales is of great significance for guiding urban surface heat mitigation. However, a comprehensive investigation of SUHIs from the diurnal, local, multi-seasonal, and interactive perspectives remains a large gap. Here, we generalized major diurnal patterns of LCZ-based SUHI intensities (SUHIIs) throughout 2020 over the urban area of Beijing, China, based on diurnal temperature cycle modeling, block-level LCZ mapping, and hierarchical clustering. A geographical detector was then employed to explore the individual and interactive impacts of 10 morphological, socioeconomic, and meteorological factors on the multi-temporal spatial differentiations of SUHIIs. Results indicate six prevalent diurnal SUHII patterns with distinct features among built LCZ types. LCZs 4 and 5 (open high- and mid-rise buildings) predominantly display patterns one, two, and five, characterized by an afternoon increase and persistently higher values during the night. Conversely, LCZs 6, 8, and 9 (open, large, and sparsely built low-rise buildings) mainly exhibit patterns three, four, and six, with a decrease in SUHII during the afternoon and lower intensities at night. The maximum/minimum SUHIIs occur in the afternoon–evening/morning for patterns 1–3 but in the morning/afternoon for patterns 5–6. In all four seasons, the enhanced vegetation index (EVI) and gross domestic product (GDP) have the top two individual effects for daytime spatial differentiations of SUHIIs, while the air temperature (TEM) has the largest explanatory power for nighttime differentiations of SUHIIs. All factor interactions are categorized as two-factor or nonlinear enhancements, where nighttime interactions exhibit notably greater explanatory powers than daytime ones. The strongest interactions are EVI ∩ GDP (q = 0.80) during the day and TEM ∩ EVI (q = 0.86) at night. The findings of this study contribute to an improved interpretation of the diurnal continuous dynamics of local SUHIIs in response to various environmental conditions.

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“…Satellite thermal infrared remote sensing is an effective means of obtaining LST [ 5 , 6 , 7 , 8 ]. With the rapid development of remote sensing technology and inversion algorithms, LST data obtained by thermal infrared remote sensing inversion algorithms are widely used in various fields, such as evapotranspiration and soil moisture estimation [ 9 ], urban heat island studies [ 10 , 11 , 12 , 13 ], disaster monitoring [ 14 ], and environmental monitoring [ 15 ]. As the main parameter for the quantitative study of surface urban heat islands (SUHIs), LST is an important data source for monitoring urban thermal environments [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

A Quantitative Study of a Directional Heat Island in Hefei, China Based on Multi-Source Data

Shi

Jiang

et al. 2023

Sensors

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Surface urban heat islands (SUHIs) are essential for evaluating urban thermal environments. However, current quantitative studies of SUHIs ignore the thermal radiation directionality (TRD), which directly affects study precision; furthermore, they fail to assess the effects of TRD characteristics at different land-use intensities, on the quantitative studies of SUHIs. To bridge this research gap, this study eliminates the interference of atmospheric attenuation and daily temperature variation factors, in quantifying the TRD based on land surface temperature (LST), from MODIS data and station air temperature data for Hefei (China) from 2010–2020. The influence of TRD on SUHI intensity quantification was evaluated by comparing the TRD under different land-use intensities in Hefei. The results show that: (1) daytime and nighttime directionality can reach up to 4.7 K and 2.6 K, and occur in areas with the highest and medium urban land-use intensity, respectively. (2) There are two significant TRD hotspots for daytime urban surfaces, where the sensor zenith angle is approximately the same as the forenoon solar zenith angle, and where the sensor zenith angle is near its nadir in the afternoon. (3) The TRD can contribute up to 2.0 K to the results of assessing the SUHI intensity based on satellite data, which is approximately 31–44% of the total SUHI in Hefei.

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

Cited by 12 publications

References 59 publications

Satellite Clear‐Sky Observations Overestimate Surface Urban Heat Islands in Humid Cities

Satellite Clear‐Sky Observations Overestimate Surface Urban Heat Islands in Humid Cities

Identifying Major Diurnal Patterns and Drivers of Surface Urban Heat Island Intensities across Local Climate Zones

A Quantitative Study of a Directional Heat Island in Hefei, China Based on Multi-Source Data

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