Assessing Seasonality in the Surface Urban Heat Island of London

Zhou, Bin; Lauwaet, Dirk; Hooyberghs, Hans; Ridder, Koen De; Kropp, Jürgen P.; Rybski, Diego

doi:10.1175/jamc-d-15-0041.1

Cited by 56 publications

(39 citation statements)

References 49 publications

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“…Furthermore, the seasonal variation of rural thermal admittance related to soil moisture is considered as another significant contributor to seasonal differences of UHI (Arnfield, 1990;Runnalls and Oke, 2000). The seasonality of soil moisture has been found to be related to the UHII in London (Zhou et al, 2016). Likewise, the drier seasonal climate during summer in Birmingham may reduce soil moisture, and therefore thermal admittance differences between urban and rural areas become greater (Imamura, 1991;Oke et al, 1991).…”

Section: 2mentioning

confidence: 99%

Impact of atmospheric conditions and levels of urbanization on the relationship between nocturnal surface and urban canopy heat islands

Feng

Cai

Chapman

2019

Quart J Royal Meteoro Soc

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Previous investigations of urban heat islands (UHI) are primarily focused either on the canopy heat island intensity (aUHII) derived from weather stations, or on the surface urban heat island intensity (sUHII) derived from satellite instruments. Research of the relationship between sUHII and aUHII (the sUHII‐aUHII relationship) is limited and this study attempts to further progress this possibility by examining the night‐time sUHII‐aUHII relationship for three factors: season, wind speed (WS), and basic land‐use categories modified from local climate zones (urban/suburban), in Birmingham, United Kingdom. Using high‐resolution datasets of canopy air temperature from Birmingham Urban Climate Laboratory and land surface temperature from the MODIS instrument aboard the Terra and Aqua satellites, with a unique methodology of regression analysis, confidence ellipse analysis of covariance (ANCOVA), and 2‐D Kolmogorov–Smirnov (K‐S) tests, statistical evidence is provided to present the varying patterns and magnitudes between sUHII and aUHII. The significance of the impact of the three considered factors is clearly supported by the statistical tests. The results indicate that satellite data can be used to infer aUHII with a higher confidence for low WS conditions. Results also demonstrate better confidence in the approach for summer and spring seasons, and for more urbanized sites. Indeed, the analysis potentially indicates that wind advection is a key factor for the investigation of the sUHII‐aUHII relationship. Overall, the methods used here are transferable to other cities and/or can be used to guide further research to explore the sUHII‐aUHII relationship under other environmental conditions.

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Section: 2mentioning

confidence: 99%

Impact of atmospheric conditions and levels of urbanization on the relationship between nocturnal surface and urban canopy heat islands

Feng

Cai

Chapman

2019

Quart J Royal Meteoro Soc

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“…This dataset has been similarly used to look at population exposure under future projections (37). Variations of the urban heat island effect (UHIE) over the course of the year do not demonstrate a consistent seasonal cycle across the globe (38). Therefore, we consider this to be a smaller source of error than the assumption that 2013 CE is representative of every year since 1850 CE.…”

Section: Demography Urbanisation and The Urban Heat Islandmentioning

confidence: 99%

Half the worlds population already experiences years 1.5°C warmer than preindustrial

Brierley¹,

Koch²,

Ilyas³

et al. 2019

Preprint

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The Paris Agreement aims to limit the increase in global average temperature to 1.5 °C above preindustrial. A natural question for the public to ask is “But how much warmer than preindustrial is where I live?” We develop a pattern-scaling technique to present local annually-resolved, gridded temperature anomalies prior to the industrial burning of fossil fuels. On average the past 5 years, 2014-2018, was 1.13 °C above preindustrial (with a likely range of 1.00-1.26 °C). When accounting for the distribution of the human population and urban heat island effect, we find that people experienced an average warming of 1.61 °C (1.43-1.79 °C) over the same period. When the Paris Agreement was signed in 2015, the majority of the global population was exposed to local, annual temperatures warmer than 1.5 °C above preindustrial.

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“…Additionally, several studies have involved direct measurement [24]. In [25] the authors examined the seasonal variations in the Surface Urban Heat Islands of London, based on the observations of the Urban Boundary Layer from MODIS satellite imagery and incorporation of the UrbClim model during heat incidents between the years 2006-2012. As the rate of heating of urban surfaces during the day is dependent on the solar irradiation, but the cooling rate of those surfaces overnight is more or less constant, seasonal differences in urban and rural areas should significantly affect the thermal balance.…”

Section: Choice Of Study Areamentioning

confidence: 99%

Satellite Monitoring of Thermal Performance in Smart Urban Designs

Mullerova¹,

Williams

2019

Remote Sensing

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Climate change amplified by rapidly increasing urbanization is resulting in rising temperatures within urban environments. In recent years, to mitigate this the design and construction of new buildings has emphasized “smart” methods and materials for individual buildings rather than landscape-level planning and evaluation of new developments. Remote Sensing potentially offers a cost-effective means to monitor effectiveness of landscape-level urban design and guide developers to improve thermal regimes. This paper focuses on satellite monitoring of thermal variation in the area of London most affected by construction in 2010–2015. Split-window Land Surface Temperature (LST) models were applied to ASTER and Landsat 8 satellite imagery, requiring separate investigation of thermal trends due to temporal inconsistency. Getis-Ord-Gi* cluster analysis of the ASTER image identified three main thermal hot spots: Eastern, Stratford railway/underground station, and Stratford High Street. It is assumed that increased thermal stress within these areas is mainly from anthropogenic heat. However, local thermal variations for Eastern Olympic Village are attributed to changing meteorological conditions, facade materials, canyon morphology and orientation, or insufficient shading and ventilation. Future development of a new cultural hub at this location will significantly affect distribution of green spaces and influence their cooling ability.

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Assessing Seasonality in the Surface Urban Heat Island of London

Cited by 56 publications

References 49 publications

Impact of atmospheric conditions and levels of urbanization on the relationship between nocturnal surface and urban canopy heat islands

Impact of atmospheric conditions and levels of urbanization on the relationship between nocturnal surface and urban canopy heat islands

Half the worlds population already experiences years 1.5°C warmer than preindustrial

Satellite Monitoring of Thermal Performance in Smart Urban Designs

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