Progressing urban climate research using a high-density monitoring network system

Šećerov, Ivan; Savić, Stevan; Milošević, Dragan; Arsenović, Daniela; Dolinaj, Dragan; Popov, Srdjan B.

doi:10.1007/s10661-019-7210-0

Cited by 22 publications

(23 citation statements)

References 39 publications

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“…More recent studies have collected data to complement existing monitoring efforts (i.e., or have been operating as a sub network within a larger national network). These were in many cases associated with human health (Rogulski, 2018) or climate impacts (Shusterman et al, 2018;Šećerov et al, 2019) or had direct economic implications, for example through flooding (Horita et al, 2015) or fishing livelihoods (Wada et al, 2007). It should be noted that very few studies embraced the principles of open science and open data more generally (however see Rettig et al, 2014;Jones et al, 2015).…”

Section: Resultsmentioning

confidence: 99%

Low-Cost Environmental Sensor Networks: Recent Advances and Future Directions

et al. 2019

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The use of low-cost sensor networks (LCSNs) is becoming increasingly popular in the environmental sciences and the unprecedented monitoring data generated enable research across a wide spectrum of disciplines and applications. However, in particular, non-technical challenges still hinder the broader development and application of LCSNs. This paper reviews the development of LCSNs over the last 15 years, highlighting trends and future opportunities for a diverse range of environmental applications. We found air quality, meteorological and water-related networks were particularly well represented with few studies focusing on sensor networks for ecological systems. Furthermore, we identified bias toward studies that have direct links to human health, safety and livelihoods. These studies were more likely to involve downstream data analytics, visualizations, and multi-stakeholder participation through citizen science initiatives. However, there was a paucity of studies that considered sustainability factors for the development and implementation of LCSNs. Existing LCSNs are largely focused on detecting and mitigating events which have a direct impact on humans such as flooding, air pollution or geo-hazards, while these applications are important there is a need for future development of LCSNs for monitoring ecosystem structure and function. Our findings highlight three distinct opportunities for future research to unleash the full potential of LCSNs: (1) improvement of links between data collection and downstream activities; (2) the potential to broaden the scope of application systems and fields; and (3) to better integrate stakeholder engagement and sustainable operation to enable longer and greater societal impacts.

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Section: Resultsmentioning

confidence: 99%

Low-Cost Environmental Sensor Networks: Recent Advances and Future Directions

et al. 2019

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“…In collaboration with related government institutions, private companies, local government, and residents, TOMACS aims to develop a predicting and monitoring early warning system of extreme phenomena, and to implement social experiments on extremeweather-resilient cities. In addition, a number of major field campaigns in different cities around the world have been conducted (1) in USA, for example URBAN 2000 (Allwine et al 2002); Joint Urban 2003 (Allwine et al 2004); Pentagon Shield (Warner et al 2007); Madison Square Garden (Hanna et al 2003); (2) in Europe, for example ESCOMPTE (Mestayer et al 2005); CAPITOUL (Masson et al 2008); BUBBLE (Rotach et al 2005); DAPPLE (Arnold et al 2004), MOCCA (Caluwaerts et al 2020), and for examples in the city of Szeged (Skarbit et al 2017) and Novi Sad (Secerov et al 2015;Šećerov et al 2019). Finally, there is still a need to harmonize collection practice, instrumentation, station location, and quality controls across cities to facilitate collaborative research (Muller et al 2015).…”

Section: Observations In Citiesmentioning

confidence: 99%

The State-of-the-Art of Urban Climate Change Modeling and Observations

et al. 2020

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As an effect of climate change, cities need detailed information on urban climates at decision scale that cannot be easily delivered using current observation networks, nor global and even regional climate models. A review is presented of the recent literature and recommendations are formulated for future work. In most cities, historical observational records are too short, discontinuous, or of too poor quality to support trend analysis and climate change attribution. For climate modeling, on the other hand, specific dynamical and thermal parameterization dedicated to the exchange of water and energy between the atmosphere and the urban surfaces have to be implemented. Therefore, to fully understand how cities are impacted by climate change, it is important to have (1) simulations of the urban climate at fine spatial scales (including coastal hazards for coastal cities) integrating global climate scenarios with urban expansion and population growth scenarios and their associated uncertainty estimates, (2) urban climate observations, especially in Global South cities, and (3) spatial data of high resolution on urban structure and form, human behavior, and energy consumption.

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“…The Berlin city (Germany) monitoring network of the Freie University, Institute for Meteorology (FUMINET) is measuring meteorological data every five minutes for microclimate and human thermal comfort investigations. Novi Sad (Serbia) has also implemented an automatic microclimatic urban monitoring network [35,36], comprising 25 urban stations and two stations located in non-urbanized environments, collecting air temperature and humidity data every 10 minute. In its turn, the climate of Szeged (Hungary) is monitored by 23 weather stations placed in urban conditions [37] and available at http://en.urban-path.hu/monitoring-system.…”

Section: In Situ Meteorological Datamentioning

confidence: 99%

Meteorological and Ancillary Data Resources for Climate Research in Urban Areas

Cheval

Micu

Dumitrescu

et al. 2020

Climate

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An increasing plethora of both meteorological and ancillary data are presently available for climate research and applications in urban areas. The data are often held by local or national institutions (i.e., meteorological services, universities or environmental agencies). This paper outlines a total number of 33 datasets, organized into three main categories of meteorological data resources (14 datasets) and four categories of ancillary data resources (19 datasets), selected for their potential to support urban climate studies, but also for their free accessibility. Such a collection cannot be exhaustive, but we aim to draw the attention of the scientific community to relevant datasets, freely available at temporal and spatial resolutions appropriate for urban climatology. Each dataset contains information about its availability, limitations, and examples of research in urban areas.

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Progressing urban climate research using a high-density monitoring network system

Cited by 22 publications

References 39 publications

Low-Cost Environmental Sensor Networks: Recent Advances and Future Directions

Low-Cost Environmental Sensor Networks: Recent Advances and Future Directions

The State-of-the-Art of Urban Climate Change Modeling and Observations

Meteorological and Ancillary Data Resources for Climate Research in Urban Areas

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