Articles | Volume 17, issue 1
Research article
10 Jan 2024
Research article |  | 10 Jan 2024

Objective identification of pressure wave events from networks of 1 Hz, high-precision sensors

Luke R. Allen, Sandra E. Yuter, Matthew A. Miller, and Laura M. Tomkins

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Cited articles

Adam, D.: Tonga Volcano created Puzzling Atmospheric Ripples, Nature, 602, 497,, 2022. a, b
Adams-Selin, R. D. and Johnson, R. H.: Mesoscale Surface Pressure and Temperature Features Associated with Bow Echoes, Mon. Weather Rev., 138, 212–227,, 2010. a
Allen, G., Vaughan, G., Toniazzo, T., Coe, H., Connolly, P., Yuter, S. E., Burleyson, C. D., Minnis, P., and Ayers, J. K.: Gravity-wave-induced perturbations in marine stratocumulus: Gravity-Wave-Induced Perturbations in Marine Stratocumulus, Q. J. Roy. Meteor. Soc., 139, 32–45,, 2013. a
Allen, L.: lrallen34/pressure-wave-detection-public: Code for Objective identification of pressure wave events from networks of 1 Hz, high-precision sensors, Zenodo [code],, 2023. a, b
Allen, L., Tomkins, L., and Yuter, S.: Supplemental videos of the paper “Objective identification of pressure wave events from networks of 1-Hz, high-precision sensors”, TIB AV-Portal [video],, 2023a. a
Short summary
We present a data set of high-precision surface air pressure observations and a method for detecting wave signals from the time series of pressure. A wavelet-based method is used to find wave signals at specific times and wave periods. From networks of pressure sensors spaced tens of kilometers apart, the wave phase speed and direction are estimated. Examples of wave events and their meteorological context are shown using radar data, weather balloon data, and other surface weather observations.