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Observations of urban heat island advection from a high-density monitoring network

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Observations of urban heat island advection from a high-density monitoring network. / Bassett, Richard; Cai, Xiaoming; Chapman, Lee et al.
In: Quarterly Journal of the Royal Meteorological Society, Vol. 142, No. 699 Part B, 07.2016, p. 2434-2441.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Bassett, R, Cai, X, Chapman, L, Heaviside, C, Thornes, J, Muller, C, Young, D & Warren, E 2016, 'Observations of urban heat island advection from a high-density monitoring network', Quarterly Journal of the Royal Meteorological Society, vol. 142, no. 699 Part B, pp. 2434-2441. https://doi.org/10.1002/qj.2836

APA

Bassett, R., Cai, X., Chapman, L., Heaviside, C., Thornes, J., Muller, C., Young, D., & Warren, E. (2016). Observations of urban heat island advection from a high-density monitoring network. Quarterly Journal of the Royal Meteorological Society, 142(699 Part B), 2434-2441. https://doi.org/10.1002/qj.2836

Vancouver

Bassett R, Cai X, Chapman L, Heaviside C, Thornes J, Muller C et al. Observations of urban heat island advection from a high-density monitoring network. Quarterly Journal of the Royal Meteorological Society. 2016 Jul;142(699 Part B):2434-2441. Epub 2016 Jun 8. doi: 10.1002/qj.2836

Author

Bassett, Richard ; Cai, Xiaoming ; Chapman, Lee et al. / Observations of urban heat island advection from a high-density monitoring network. In: Quarterly Journal of the Royal Meteorological Society. 2016 ; Vol. 142, No. 699 Part B. pp. 2434-2441.

Bibtex

@article{c7288cf9e84a4490a91ddd86ffef399a,
title = "Observations of urban heat island advection from a high-density monitoring network",
abstract = "With 69% of the world's population predicted to live in cities by 2050, modification to local climates, in particular Urban Heat Islands (UHIs), have become a well studied phenomenon. However, few studies have considered how horizontal winds modify the spatial pattern in a process named Urban Heat Advection (UHA) and this is most likely due to a lack of highly spatially resolved observational data. For the first time, this study separates the two-dimensional advection-induced UHI component, including its pattern and magnitude, from the locally heated UHI component using a unique dataset of urban canopy temperatures from 29 weather stations (3 km resolution) recorded over 20 months in Birmingham, United Kingdom. The results show that the mean contribution of UHA to the warming of areas downwind of the city can be up to 1.2 °C. Using the inverse Normalized Difference Vegetation Index as a proxy for urban fraction, an upwind distance at which the urban fraction has the strongest correlation with UHA was demonstrated to be between 4 and 12 km. Overall, these findings suggest that urban planning and risk management needs to additionally consider UHA. However, more fundamentally, it highlights the importance of careful interpretation of long- term meteorological records taken near cities when they are used to assess global warming.",
author = "Richard Bassett and Xiaoming Cai and Lee Chapman and Clare Heaviside and John Thornes and Catherine Muller and Duick Young and Elliott Warren",
year = "2016",
month = jul,
doi = "10.1002/qj.2836",
language = "English",
volume = "142",
pages = "2434--2441",
journal = "Quarterly Journal of the Royal Meteorological Society",
issn = "0035-9009",
publisher = "John Wiley and Sons Ltd",
number = "699 Part B",

}

RIS

TY - JOUR

T1 - Observations of urban heat island advection from a high-density monitoring network

AU - Bassett, Richard

AU - Cai, Xiaoming

AU - Chapman, Lee

AU - Heaviside, Clare

AU - Thornes, John

AU - Muller, Catherine

AU - Young, Duick

AU - Warren, Elliott

PY - 2016/7

Y1 - 2016/7

N2 - With 69% of the world's population predicted to live in cities by 2050, modification to local climates, in particular Urban Heat Islands (UHIs), have become a well studied phenomenon. However, few studies have considered how horizontal winds modify the spatial pattern in a process named Urban Heat Advection (UHA) and this is most likely due to a lack of highly spatially resolved observational data. For the first time, this study separates the two-dimensional advection-induced UHI component, including its pattern and magnitude, from the locally heated UHI component using a unique dataset of urban canopy temperatures from 29 weather stations (3 km resolution) recorded over 20 months in Birmingham, United Kingdom. The results show that the mean contribution of UHA to the warming of areas downwind of the city can be up to 1.2 °C. Using the inverse Normalized Difference Vegetation Index as a proxy for urban fraction, an upwind distance at which the urban fraction has the strongest correlation with UHA was demonstrated to be between 4 and 12 km. Overall, these findings suggest that urban planning and risk management needs to additionally consider UHA. However, more fundamentally, it highlights the importance of careful interpretation of long- term meteorological records taken near cities when they are used to assess global warming.

AB - With 69% of the world's population predicted to live in cities by 2050, modification to local climates, in particular Urban Heat Islands (UHIs), have become a well studied phenomenon. However, few studies have considered how horizontal winds modify the spatial pattern in a process named Urban Heat Advection (UHA) and this is most likely due to a lack of highly spatially resolved observational data. For the first time, this study separates the two-dimensional advection-induced UHI component, including its pattern and magnitude, from the locally heated UHI component using a unique dataset of urban canopy temperatures from 29 weather stations (3 km resolution) recorded over 20 months in Birmingham, United Kingdom. The results show that the mean contribution of UHA to the warming of areas downwind of the city can be up to 1.2 °C. Using the inverse Normalized Difference Vegetation Index as a proxy for urban fraction, an upwind distance at which the urban fraction has the strongest correlation with UHA was demonstrated to be between 4 and 12 km. Overall, these findings suggest that urban planning and risk management needs to additionally consider UHA. However, more fundamentally, it highlights the importance of careful interpretation of long- term meteorological records taken near cities when they are used to assess global warming.

U2 - 10.1002/qj.2836

DO - 10.1002/qj.2836

M3 - Journal article

VL - 142

SP - 2434

EP - 2441

JO - Quarterly Journal of the Royal Meteorological Society

JF - Quarterly Journal of the Royal Meteorological Society

SN - 0035-9009

IS - 699 Part B

ER -