Bias correction of modelled urban temperatures with crowd-sourced weather data

Brousse, Oscar; Simpson, C.; Kenway, Owain; Martilli, Alberto; Krayenhoff, Scott; Zonato, Andrea; Heaviside, Clare

doi:10.1002/essoar.10512277.2

Cited by 2 publications

(3 citation statements)

References 38 publications

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“…The simulations done in this research were performed using the WRF model v4.4 (https://github.com/wrf-model/ WRF.git). The related outputs presented in this research and codes used to plot them are available at Brousse et al (2024). The data used in the Supporting Information S1 for the study period selection and for model evaluation is publicly available.…”

Section: Data Availability Statementmentioning

confidence: 99%

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Cool Roofs Could Be Most Effective at Reducing Outdoor Urban Temperatures in London (United Kingdom) Compared With Other Roof Top and Vegetation Interventions: A Mesoscale Urban Climate Modeling Study

Brousse,

Simpson,

Zonato

et al. 2024

Geophysical Research Letters

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Comprehensive studies comparing impacts of building and street levels interventions on air temperature at metropolitan scales are still lacking despite increased urban heat‐related mortality and morbidity. We therefore model the impact of 9 interventions on air temperatures at 2 m during 2 hot days from the summer 2018 in the Greater London Authority area using the WRF BEP‐BEM climate model. We find that on average cool roofs most effectively reduce temperatures (∼−1.2°C), outperforming green roofs (∼0°C), solar panels (∼−0.5°C) and street level vegetation (∼−0.3°C). Application of air conditioning across London (United Kingdom) increases air temperatures by ∼+0.15°C. A practicable deployment of solar panels could cover its related energetic consumption. Current practicable deployments of green roofs and solar panels are ineffective at large scale reduction of temperatures. We provide a detailed decomposition of the surface energy balance to explain changes in air temperature and guide future decision‐making.

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Section: Data Availability Statementmentioning

confidence: 99%

“…The related outputs presented in this research and codes used to plot them are available at Brousse et al. (2024). The data used in the Supporting Information for the study period selection and for model evaluation is publicly available.…”

Section: Data Availability Statementmentioning

confidence: 99%

Cool Roofs Could Be Most Effective at Reducing Outdoor Urban Temperatures in London (United Kingdom) Compared With Other Roof Top and Vegetation Interventions: A Mesoscale Urban Climate Modeling Study

Brousse,

Simpson,

Zonato

et al. 2024

Geophysical Research Letters

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show abstract

“…To deal with higher degrees of uncertainty due to their inaccuracy 10,11 and human factors such as sub-optimal placement, multiple filtering algorithms have been developed to make this data more reliable [12][13][14][15] . PWS crowdsourced weather data are quickly becoming suitable and valuable for urban temperature studies and evaluation of models 16 . Pioneering studies have even suggested that they could be used to develop city-wide heat alarm systems 17 .…”

Section: Introductionmentioning

confidence: 99%

Unequal distributions of crowdsourced weather data in England and Wales

Brousse

Simpson

Poorthuis

et al. 2023

Preprint

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Personal weather stations (PWS) can provide useful data on urban climates by densifying the number of weather measurements across major cities. They do so at a lower cost than official weather stations by national meteorological services. Despite the increasing use of PWS data, little attention has yet been paid to the underlying socio-economic and environmental inequalities in PWS coverage. Using social deprivation, demographic, and environmental indicators in England and Wales, we characterize existing inequalities in the current coverage of PWS. We find that there are fewer PWS in more deprived areas which also observe higher proportions of ethnic minorities, lower vegetation coverage, higher building height and building surface fraction, and lower proportions of inhabitants under 65 years old. This implies that data on urban climate may be of lower quality or more uncertain in particular areas, which may limit the potential for climate adaptation and empowerment in those communities.

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Bias correction of modelled urban temperatures with crowd-sourced weather data

Abstract: This a preprint and has not been peer reviewed. Data may be preliminary.

Cited by 2 publications

References 38 publications

Cool Roofs Could Be Most Effective at Reducing Outdoor Urban Temperatures in London (United Kingdom) Compared With Other Roof Top and Vegetation Interventions: A Mesoscale Urban Climate Modeling Study

Cool Roofs Could Be Most Effective at Reducing Outdoor Urban Temperatures in London (United Kingdom) Compared With Other Roof Top and Vegetation Interventions: A Mesoscale Urban Climate Modeling Study

Unequal distributions of crowdsourced weather data in England and Wales

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