Articles | Volume 17, issue 1
https://doi.org/10.5194/amt-17-113-2024
https://doi.org/10.5194/amt-17-113-2024
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

Viewed

Total article views: 1,449 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,183 189 77 1,449 43 38
  • HTML: 1,183
  • PDF: 189
  • XML: 77
  • Total: 1,449
  • BibTeX: 43
  • EndNote: 38
Views and downloads (calculated since 07 Sep 2023)
Cumulative views and downloads (calculated since 07 Sep 2023)

Viewed (geographical distribution)

Total article views: 1,449 (including HTML, PDF, and XML) Thereof 1,278 with geography defined and 171 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
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.