Opportunistic weather sensors

an Amsterdam case study of private weather stations, commercial microwave links and smartphones

Abstract (2020)
Author(s)

Lotte de Vos (Wageningen University & Research)

Arjan Droste (Wageningen University & Research)

Marjanne Zander (Wageningen University & Research)

Aart Overeem (Royal Netherlands Meteorological Institute (KNMI))

Hidde Leijnse (Royal Netherlands Meteorological Institute (KNMI))

Bert Heusinkveld (Wageningen University & Research)

Gert-Jan Steeneveld (Wageningen University & Research)

Remko Uijlenhoet (Wageningen University & Research)

Affiliation
External organisation
DOI related publication
https://doi.org/10.5194/egusphere-egu2020-10868
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Publication Year
2020
Language
English
Affiliation
External organisation
Event
EGU General Assembly 2020 (2020-05-03 - 2020-05-08), Vienna, Austria
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Abstract

Several opportunistic sensors (private weather stations, commercial microwave links and smartphones) are employed to obtain weather information and successfully monitor urban weather events. The ongoing urbanisation and climate change urges further understanding and monitoring of weather in cities. Two case studies during a 17-day period over the Amsterdam metropolitan area, the Netherlands, are used to illustrate the potential and limitations of hydrometeorological monitoring using non-traditional and opportunistic sensors. We employ three types of opportunistic sensing networks to monitor six important environmental variables: (1) air temperature estimates from smartphone batteries and personal weather stations; (2) rainfall from commercial microwave links and personal weather stations; (3) solar radiation from smartphones; (4) wind speed from personal weather stations; (5) air pressure from smartphones and personal weather stations; (6) humidity from personal weather stations. These observations are compared to dedicated, traditional observations where possible, although such networks are typically sparse in urban areas. First we show that the passage of a front can be successfully monitored using data from several types of non-traditional sensors in a complementary fashion. Also we demonstrate the added value of opportunistic measurements in quantifying the Urban Heat Island (UHI) effect during a hot episode. The UHI can be clearly determined from personal weather stations, though UHI values tend to be high compared to records from a traditional network. Overall, this study illustrates the enormous potential for hydrometeorological monitoring in urban areas using non-traditional and opportunistic sensing networks.

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