Final published version
Licence: CC BY: Creative Commons Attribution 4.0 International License
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
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 -