Articles | Volume 15, issue 22
https://doi.org/10.5194/amt-15-6563-2022
https://doi.org/10.5194/amt-15-6563-2022
Research article
 | 
17 Nov 2022
Research article |  | 17 Nov 2022

The measurement of mean wind, variances, and covariances from an instrumented mobile car in a rural environment

Stefan J. Miller and Mark Gordon

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Cited articles

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Aristodemou, E., Boganegra, L. M., Mottet, L., Pavlidis, D., Constantinou, A., Pain, C., Robins, A., and ApSimon, H.: How tall buildings affect turbulent air flows and dispersion of pollution within a neighbourhood, Environ. Pollut., 233, 782–796, https://doi.org/10.1016/j.envpol.2017.10.041, 2018. 
Armi, L. and Mayr, G. J.: Continuously stratified flows across an alpine crest with a pass: Shallow and Deep Föhn, Q. J. Roy. Meteor. Soc., 133, 459–477, https://doi.org/10.1002/qj.22, 2007. 
Belušić, D., Lenschow, D. H., and Tapper, N. J.: Performance of a mobile car platform for mean wind and turbulence measurements, Atmos. Meas. Tech., 7, 1825–1837, https://doi.org/10.5194/amt-7-1825-2014, 2014. 
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Short summary
This research investigates the measurement of atmospheric turbulence using a low-cost instrumented car that travels at near-highway speeds and is impacted by upwind obstructions and other on-road traffic. We show that our car design can successfully measure the mean flow and atmospheric turbulence near the surface. We outline a technique to isolate and remove the effects of sporadic passing traffic from car-measured velocity variances and discuss potential measurement uncertainties.