Crowdsourcing urban air temperatures through smartphone battery temperatures in São Paulo, Brazil

A.M. Droste, J.J. Pape, A. Overeem, H. Leijnse, G.J. Steeneveld, A.J. van Delden, R. Uijlenhoet

Research output: Contribution to journalArticleAcademicpeer-review

6 Citations (Scopus)

Abstract

Crowdsourcing as a method to obtain and apply vast datasets is rapidly becoming prominent in meteorology, especially for urban areas where routine weather observations are scarce. Previous studies showed that smartphone battery temperature readings can be used to estimate the daily and citywide air temperature via a direct heat transfer model. This work extends model estimates by studying smaller temporal and spatial scales. We find the number of battery readings influences the accuracy of temperature retrievals. Optimal results are achieved for 700 or more retrievals. An extensive dataset of over 10 million battery temperature readings for estimating hourly and daily air temperatures is available for São Paulo (Brazil). The air temperature estimates are validated with measurements from a WMO station, an Urban Fluxnet site, and data from 7 citizen weather stations. Daily temperature estimates are good (ρ2 of 86%), and we show they improve by optimizing model parameters for neighborhood scales (<1 km2) as categorized in Local Climate Zones (LCZ). Temperature differences between LCZs can be distinguished from smartphone battery temperatures. When validating the model for hourly temperature estimates, the model requires a diurnally varying parameter function in the heat transfer model rather than one fixed value for the entire day. The results show the potential of large crowdsourced datasets in meteorological studies, and the value of smartphones as a measuring platform when routine observations are lacking.
Original languageEnglish
Pages (from-to)1853-1866
JournalJournal of Atmospheric and Oceanic Technology
Volume34
DOIs
Publication statusPublished - 2017

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Smartphones
air temperature
Air
temperature
Temperature
heat transfer
urban site
weather station
battery
Heat transfer
meteorology
Meteorology
urban area
weather
climate

Cite this

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title = "Crowdsourcing urban air temperatures through smartphone battery temperatures in S{\~a}o Paulo, Brazil",
abstract = "Crowdsourcing as a method to obtain and apply vast datasets is rapidly becoming prominent in meteorology, especially for urban areas where routine weather observations are scarce. Previous studies showed that smartphone battery temperature readings can be used to estimate the daily and citywide air temperature via a direct heat transfer model. This work extends model estimates by studying smaller temporal and spatial scales. We find the number of battery readings influences the accuracy of temperature retrievals. Optimal results are achieved for 700 or more retrievals. An extensive dataset of over 10 million battery temperature readings for estimating hourly and daily air temperatures is available for S{\~a}o Paulo (Brazil). The air temperature estimates are validated with measurements from a WMO station, an Urban Fluxnet site, and data from 7 citizen weather stations. Daily temperature estimates are good (ρ2 of 86{\%}), and we show they improve by optimizing model parameters for neighborhood scales (<1 km2) as categorized in Local Climate Zones (LCZ). Temperature differences between LCZs can be distinguished from smartphone battery temperatures. When validating the model for hourly temperature estimates, the model requires a diurnally varying parameter function in the heat transfer model rather than one fixed value for the entire day. The results show the potential of large crowdsourced datasets in meteorological studies, and the value of smartphones as a measuring platform when routine observations are lacking.",
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Crowdsourcing urban air temperatures through smartphone battery temperatures in São Paulo, Brazil. / Droste, A.M.; Pape, J.J.; Overeem, A.; Leijnse, H.; Steeneveld, G.J.; van Delden, A.J.; Uijlenhoet, R.

In: Journal of Atmospheric and Oceanic Technology, Vol. 34, 2017, p. 1853-1866.

Research output: Contribution to journalArticleAcademicpeer-review

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AU - Droste, A.M.

AU - Pape, J.J.

AU - Overeem, A.

AU - Leijnse, H.

AU - Steeneveld, G.J.

AU - van Delden, A.J.

AU - Uijlenhoet, R.

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