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

Miller, Stefan J.; Gordon, Mark

doi:https://doi.org/10.5194/amt-15-6563-2022

Articles | Volume 15, issue 22

https://doi.org/10.5194/amt-15-6563-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-15-6563-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 22

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

Supplement

https://doi.org/10.5194/amt-15-6563-2022-supplement

Data sets

The measurement of mean wind, variances and covariances from an instrumented mobile car in a rural environment M. Gordon https://doi.org/10.5683/SP3/IBBDTF

Model code and software

A practical guide to wavelet analysis C. Torrence and G. P. Compo https://github.com/chris-torrence/wavelets

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.