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Climate driven trends in London’s urban heat island intensity reconstructed over 70 years using a generalized additive model

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Climate driven trends in London’s urban heat island intensity reconstructed over 70 years using a generalized additive model. / Bassett, Richard; Janes-Bassett, Victoria; Phillipson, Jordan; Young, Paul; Blair, Gordon.

In: Urban Climate, Vol. 40, 100990, 31.12.2021.

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@article{cc52b26092164c1ca7fe9261966de998,
title = "Climate driven trends in London{\textquoteright}s urban heat island intensity reconstructed over 70 years using a generalized additive model",
abstract = "Long-term urban heat island (UHI) observations are uncommon and where available, are generally unable to distinguish changing climate drivers from urban expansion; neither driver is treated independently. We overcome this limitation using a generalized additive model to learn the variability in UHI intensity (UHII) at a central London weather station (St James{\textquoteright}s Park) over a 10-year observation period (2010–2019). We then use the model to reconstruct 70 years (1950–2019) of monthly night-time UHII variability using ERA5 reanalysis data both as a reference in UHII calculation and for the predictors. We find considerable variability both seasonally and annually within the UHII time series (monthly mean maximum UHIIs are 1.4–2.9oC). Applying extreme value analysis to the time series we show that monthly mean maximum UHIIs are likely to exceed 2.75oC once every 11 years. Considering that most studies observe or model UHIIs for less than a year, they will likely misrepresent this UHII variability. Nevertheless, despite moving to a warmer background climate, London{\textquoteright}s UHII has not significantly changed across the period of analysis (1950–2019). The data-driven methods we create in this study are easily transferable to other cities.",
keywords = "Climate, generalized additive model (GAM), Extreme values, Time series, Urban Heat Island (UHI), Variability",
author = "Richard Bassett and Victoria Janes-Bassett and Jordan Phillipson and Paul Young and Gordon Blair",
year = "2021",
month = dec,
day = "31",
doi = "10.1016/j.uclim.2021.100990",
language = "English",
volume = "40",
journal = "Urban Climate",
issn = "2212-0955",
publisher = "Elsevier BV",

}

RIS

TY - JOUR

T1 - Climate driven trends in London’s urban heat island intensity reconstructed over 70 years using a generalized additive model

AU - Bassett, Richard

AU - Janes-Bassett, Victoria

AU - Phillipson, Jordan

AU - Young, Paul

AU - Blair, Gordon

PY - 2021/12/31

Y1 - 2021/12/31

N2 - Long-term urban heat island (UHI) observations are uncommon and where available, are generally unable to distinguish changing climate drivers from urban expansion; neither driver is treated independently. We overcome this limitation using a generalized additive model to learn the variability in UHI intensity (UHII) at a central London weather station (St James’s Park) over a 10-year observation period (2010–2019). We then use the model to reconstruct 70 years (1950–2019) of monthly night-time UHII variability using ERA5 reanalysis data both as a reference in UHII calculation and for the predictors. We find considerable variability both seasonally and annually within the UHII time series (monthly mean maximum UHIIs are 1.4–2.9oC). Applying extreme value analysis to the time series we show that monthly mean maximum UHIIs are likely to exceed 2.75oC once every 11 years. Considering that most studies observe or model UHIIs for less than a year, they will likely misrepresent this UHII variability. Nevertheless, despite moving to a warmer background climate, London’s UHII has not significantly changed across the period of analysis (1950–2019). The data-driven methods we create in this study are easily transferable to other cities.

AB - Long-term urban heat island (UHI) observations are uncommon and where available, are generally unable to distinguish changing climate drivers from urban expansion; neither driver is treated independently. We overcome this limitation using a generalized additive model to learn the variability in UHI intensity (UHII) at a central London weather station (St James’s Park) over a 10-year observation period (2010–2019). We then use the model to reconstruct 70 years (1950–2019) of monthly night-time UHII variability using ERA5 reanalysis data both as a reference in UHII calculation and for the predictors. We find considerable variability both seasonally and annually within the UHII time series (monthly mean maximum UHIIs are 1.4–2.9oC). Applying extreme value analysis to the time series we show that monthly mean maximum UHIIs are likely to exceed 2.75oC once every 11 years. Considering that most studies observe or model UHIIs for less than a year, they will likely misrepresent this UHII variability. Nevertheless, despite moving to a warmer background climate, London’s UHII has not significantly changed across the period of analysis (1950–2019). The data-driven methods we create in this study are easily transferable to other cities.

KW - Climate

KW - generalized additive model (GAM)

KW - Extreme values

KW - Time series

KW - Urban Heat Island (UHI)

KW - Variability

U2 - 10.1016/j.uclim.2021.100990

DO - 10.1016/j.uclim.2021.100990

M3 - Journal article

VL - 40

JO - Urban Climate

JF - Urban Climate

SN - 2212-0955

M1 - 100990

ER -