Urban surface temperature observations from ground-based thermography: intra- and inter-facet variability

Morrison, William; Kotthaus, Simone; Grimmond, Sue

doi:10.1016/j.uclim.2020.100748

Cited by 16 publications

(17 citation statements)

References 54 publications

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“…In a similar application, Dissegna et al (2019) used DART to analyze the radiation budget of a city and its sensitivity to changing vegetation characteristics. Morrison et al (2018Morrison et al ( , 2020Morrison et al ( , 2021 used DART in combination with observations of broadband longwave radiation fluxes by a network of ground-based cameras to derive the urban surface temperature at high spatial resolution. Stretton et al (2022) use the DART model as a reference to evaluate the mesoscale urban radiation scheme SPARTACUS-Urban (Hogan 2019a,b).…”

Section: Obstacle-resolving Radiative Transfer Modelling In Urban Areasmentioning

confidence: 99%

Model of Spectral and Directional Radiative Transfer in Complex Urban Canopies with Participating Atmospheres

Caliot

Schoetter

Forest³

et al. 2022

Boundary-Layer Meteorol

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Thermal heat transfers, including solar and infrared radiation in cities, are key processes for studying urban heat islands, outdoor human thermal comfort, energy consumption, and production. Thus, accurate radiative transfer models are required to compute the solar and infrared fluxes in complex urban geometry accounting for the spectral and directional properties of the atmosphere and city fabric materials. In addition, these reference models may be used to evaluate existing parametrization models of radiative heat transfer and to develop new ones. The present article introduces a new reference model for outdoor radiative exchange based on the backward Monte Carlo method. The integral formulations of the direct and scattered solar, and the terrestrial infrared radiative flux densities are presented. This model can take into account the ground (e.g., roads, grass), different types of buildings and vegetation (e.g., trees consisting of opaque leaves and trunks) with their spectral and directional (Lambertian and specular) reflectivity of materials. Numerical validations of the algorithm are presented against the results of a state-of-the-art model based on the radiosity method for the particular case of an infinitely long street canyon. In addition, the convergence of urban solar radiation budgets is studied for a selection of urban complex geometries including

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Section: Obstacle-resolving Radiative Transfer Modelling In Urban Areasmentioning

confidence: 99%

Model of Spectral and Directional Radiative Transfer in Complex Urban Canopies with Participating Atmospheres

Caliot

Schoetter

Forest³

et al. 2022

Boundary-Layer Meteorol

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show abstract

“…Similar problems are inherent with ground‐based thermal imagers (e.g., FLIR cameras). These can provide time‐continuous imagery of facet‐scale T sfc , but require complex atmospheric (dependent on path length) and emissivity corrections with sampling limited to the array of surfaces seen by the sensor (Morrison et al., 2021). To generate a T sfc and SUHI data set with all‐weather, city‐wide coverage would require an array of radiometers operating continuously and synchronously for several months or seasons, and configured to a full‐scale network that samples a combined radiation source area capturing all or most neighborhoods of a city.…”

Section: Literature Review and Synthesismentioning

confidence: 99%

Time Evolution of the Surface Urban Heat Island

et al. 2021

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A proper description of the climate of a place includes the expected sequence of air temperatures in a daily cycle. In cities, the observed sequence helps researchers to explain climatic phenomena such as the urban heat island (UHI). The UHI is a local-scale atmospheric-warming effect associated with urban areas, whose near-surface air temperatures are higher, on average, than those of the surrounding countryside. The diurnal cycles of heat islands were first investigated in major European cities by Renou (1868) and Hann (1885), who observed 3-hourly and daily maximum/minimum temperatures. Their work evolved with the first hourly observations made in urban and rural areas by Alfred Angot (1896). He reported the magnitude of the heat island in Paris (France) to vary greatly in the course of a day, reaching maximum values in the latter half of the night, and minimum values (sometimes negative-a "cool island") at noon or several hours before noon, depending on the season (Figures 1a and 1c). These early insights into the fine-scale sequencing of urban-rural air temperature differences commenced a generation of work on the time evolution of atmospheric heat islands in cities worldwide.A century later, Oke (1982) conceptualized the diurnal cycle of an atmospheric heat island based on decades of work preceding his own. His classic portrayal describes a 24-h screen-level (2 m) heat island for a large, temperate-climate city during calm and clear summer weather (Figure 1f). It exhibits the time-dependent features of the heat island that are observed-to some extent-in all cities (Figures 1d and 1e). Oke defined the heat island much like his predecessors had done: as a nocturnal phenomenon whose existence is mainly

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“…However, typically, air temperature has a smaller range than surface temperatures. In practise, roofs have the largest range (Morrison et al, 2020(Morrison et al, , 2021 and walls are warmer during both the day and night (e.g. summer in London: south wall peak 15 °C warmer (cf.…”

Section: Introductionmentioning

confidence: 99%

“…summer in London: south wall peak 15 °C warmer (cf. canopy air temperature peak), minimum 3 °C warmer (Morrison et al, 2020(Morrison et al, , 2021). Also, the timing of the peak temperatures differs with air being later than facet surface temperatures apart from the east facet (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…Also, the timing of the peak temperatures differs with air being later than facet surface temperatures apart from the east facet (e.g. peak air temperature around 4 hours later than the south wall peak surface temperature on a summer day in London (Morrison et al, 2020(Morrison et al, , 2021). Hence, using air rather than facet surface temperatures to derive longwave radiation is biased.…”

Section: Introductionmentioning

confidence: 99%

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Impact of inter-building longwave radiative exchanges on building energy performance and indoor overheating

Xie

Luo

Grimmond

et al. 2022

Building and Environment

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Urban surface temperature observations from ground-based thermography: intra- and inter-facet variability

Cited by 16 publications

References 54 publications

Model of Spectral and Directional Radiative Transfer in Complex Urban Canopies with Participating Atmospheres

Model of Spectral and Directional Radiative Transfer in Complex Urban Canopies with Participating Atmospheres

Time Evolution of the Surface Urban Heat Island

Impact of inter-building longwave radiative exchanges on building energy performance and indoor overheating

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