Sensors and the city: a review of urban meteorological networks

Muller, C.; Chapman, Lee; Grimmond, Sue; Young, Duick T.; Cai, Xiaoming

doi:10.1002/joc.3678

Cited by 198 publications

(138 citation statements)

References 32 publications

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“…Given the paucity of traditional T air observations, and their limited spatial resolution [10,14], there has been an ongoing challenge to quantify the intensity and spatial extent of the UHI canopy . A compromise is nearly always needed, whether it be temporal (i.e., the transect approach) or spatial (i.e., the station pair approach).…”

Section: Measuring the Urban Heat Islandmentioning

confidence: 99%

Quantifying the Daytime and Night-Time Urban Heat Island in Birmingham, UK: A Comparison of Satellite Derived Land Surface Temperature and High Resolution Air Temperature Observations

2016

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Abstract:The Urban Heat Island (UHI) is one of the most well documented phenomena in urban climatology. Although a range of measurements and modelling techniques can be used to assess the UHI, the paucity of traditional meteorological observations in urban areas has been an ongoing limitation for studies. The availability of remote sensing data has therefore helped fill a scientific need by providing high resolution temperature data of our cities. However, satellite-mounted sensors measure land surface temperatures (LST) and not canopy air temperatures with the latter being the key parameter in UHI investigations. Fortunately, such data is becoming increasingly available via urban meteorological networks, which now provide an opportunity to quantify and compare surface and canopy UHI on an unprecedented scale. For the first time, this study uses high resolution air temperature data from the Birmingham Urban Climate Laboratory urban meteorological network and MODIS LST to quantify and identify the spatial pattern of the daytime and night-time UHI in Birmingham, UK (a city with an approximate population of 1 million). This analysis is performed under a range of atmospheric stability classes and investigates the relationship between surface and canopy UHI in the city. A significant finding of this work is that it demonstrates, using observations, that the distribution of the surface UHI appears to be clearly linked to landuse, whereas for canopy UHI, advective processes appear to play an increasingly important role. Strong relationships were found between air temperatures and LST during both the day and night at a neighbourhood scale, but even with the use of higher resolution urban meteorological datasets, relationships at the city scale are still limited.

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Section: Measuring the Urban Heat Islandmentioning

confidence: 99%

Quantifying the Daytime and Night-Time Urban Heat Island in Birmingham, UK: A Comparison of Satellite Derived Land Surface Temperature and High Resolution Air Temperature Observations

2016

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“…This interpretation aims at national assessment of the urban ecosystems' ecological condition and their potential to provide ecosystem services. The proposed index is concordant with the classification criteria of Stewart and Oke (2009) and meets the requirements of the ecosystem services' concept which include: 1) logical and consistent representation of the surface properties of urban ecosystem types; 2) clear identification of the urban green infrastructure composition and configuration; 3) highly informative character, relevant for urban studies spatial scales (Oke 2004b, Muller et al 2013) and 4) easily repeatable, measurable and compatible with the landscape matrix indices.…”

Section: Introductionmentioning

confidence: 54%

Mapping and assessment of urban ecosystem condition and services using integrated index of spatial structure

Nedkov¹,

Zhiyanski²,

Dimitrov³

et al. 2017

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Citation: Nedkov S, Zhiyanski M, Dimitrov S, Borisova B, Popov A, Ihtimanski I, Yaneva R, Nikolov P, BratanovaDoncheva S (2017) Mapping and assessment of urban ecosystem condition and services using integrated index of spatial structure. One Ecosystem 2: e14499. https://doi.org/10.3897/oneeco.2.e14499 AbstractUrban ecosystems are the areas where built infrastructure covers a large proportion of the land surface but the main source of ecosystem services provision is the green infrastructure. This provision is very much dependent on the particular combination of green spaces such as parks or vegetation belts and paved areas such as buildings and streets. The spatial arrangement of these elements is an important parameter which could be used for the assessment of the ecosystem condition in the urban areas. An integrated index of spatial structure is proposed which incorporates built types and land cover from the Local Climate Zones (LCZ) concept with urban ecosystems' classes developed on the basis of MAES typology. An algorithm has been developed for index generation using an urban ecosystems' database and remote sensing data. The index is used to define vegetation cover in urban ecosystems and assess their condition as a part of the assessment framework. It is also applied in the assessment of several ecosystem services through quantification of ecosystem services' indicators or as an indicator in a complex assessment. The results show that, although most urban ecosystems in Bulgaria are assessed as moderate and good condition, very few of them have very good condition and about 3.5% have very bad condition. The highest scores are defined for urban green areas while the lowest are for transport networks. The use of an integrated index in urban ecosystem services' assessment is represented by examples for global and local climate regulation. The results are used to develop maps of ecosystem services supply capacity for selected cities. The overall analysis indicates that the urban ecosystems in Bulgaria have a moderate to good capacity for local climate regulation and moderate to low capacity for global climate regulation. The integrated index of spatial structure provides an appropriate basis for characterisation and assessment of the urban ecosystems condition and ecosystem services following the requirements of the EU Biodiversity Strategy and the MAES process. The proposed approach enables the internal heterogeneity of the urban ecosystems at national level to be defined, this being one of the main challenges in studying urban ecological systems.

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“…Paper 16 Milutinović, 2012;Mylonas, Meletiadis, Mitrou, & Gritzalis, 2013), and environmental issues such as habitat monitoring, ecology studies, and weather forecasting (Muller, Chapman, Grimmond, Young, & Cai, 2013;Szewczyk et al, 2004;Wilson, Wikelski, Wilson, & Cooke, 2015) 1 .…”

Section: Sensorsmentioning

confidence: 99%

The Light and Dark Side of The Black Box: Sensor-Based Technology in the Automotive Industry

Marabelli¹,

Hansen²,

Newell³

et al. 2017

CAIS

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Abstract:Diverse aspects of our everyday lives increasingly feature sensor-based technologies. Despite the importance of understanding how business and consumers exploit and adopt these technologies, the information systems (IS) community has thus far devoted relatively little attention to the topic. Accordingly, in this paper, we foster an exploration of the issue among IS scholars by focusing on the emergent use of sensor-based technologies in the automotive insurance industry. Insurance providers have increasingly begun to turn to such technologies to gain competitive advantage around risk assessment and behavior-based pricing. To investigate this phenomenon, we consider the experiences of two organizations operating distinct national contexts: Progressive Insurance (US) and Generali (Italy). These two insurance providers have been first movers in adopting sensor-based technologies for risk assessment and policy pricing. First, we highlight the key similarities and differences between the cases with regard to the technologies adopted, business models pursued, and anticipated benefits and pitfalls for the companies and their consumers. Second, in a more holistic way, we discuss the implications and unintended consequences of sensorbased technologies in the automotive insurance industry. We formulate several research questions that provide opportunities and encourage more research in this emerging area of study.

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Sensors and the city: a review of urban meteorological networks

Cited by 198 publications

References 32 publications

Quantifying the Daytime and Night-Time Urban Heat Island in Birmingham, UK: A Comparison of Satellite Derived Land Surface Temperature and High Resolution Air Temperature Observations

Quantifying the Daytime and Night-Time Urban Heat Island in Birmingham, UK: A Comparison of Satellite Derived Land Surface Temperature and High Resolution Air Temperature Observations

Mapping and assessment of urban ecosystem condition and services using integrated index of spatial structure

The Light and Dark Side of The Black Box: Sensor-Based Technology in the Automotive Industry

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