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Estimating tropospheric and stratospheric winds using infrasound from explosions
Erik Mårten Blixt1, Sven Peter Näsholm1, Steven J Gibbons1
1NORSAR, Gunnar Randers vei 15, 2027 Kjeller, Norway.
Atmospheric cross-winds bias infrasound backazimuth. This study shows infrasound data can estimate cross-winds, correlating well with European Centre for Medium-Range Weather Forecasts Reanalysis (ERA)-Interim data.
Area of Science:
- Atmospheric physics
- Geophysics
- Acoustics
Background:
- Atmospheric infrasound propagation is affected by winds, causing directional biases.
- Infrasound signals from explosions in northern Finland were measured over 30 years.
- The measurement array is located in a shadow zone, yet strong signals were detected, likely due to stratospheric reflections.
Purpose of the Study:
- To investigate the impact of atmospheric cross-winds on infrasound backazimuth measurements.
- To demonstrate the feasibility of estimating atmospheric cross-winds using infrasound data.
- To validate infrasound-derived wind estimates against reanalysis data.
Main Methods:
- Utilized infrasound data from 598 surface explosions over 30 years in northern Finland.
- Employed a high-resolution infrasound array situated 178 km north of the sources.
- Applied wave-propagation modeling and compared backazimuth deviations with European Centre for Medium-Range Weather Forecasts Reanalysis (ERA)-Interim cross-wind data.
Main Results:
- Observed significant backazimuth deviation in infrasound signals, attributed to tropospheric and stratospheric cross-winds.
- Wave-propagation modeling showed good correspondence between observed backazimuth deviations and ERA-Interim cross-wind data.
- Infrasound data successfully estimated atmospheric cross-winds.
Conclusions:
- Atmospheric cross-winds can be accurately estimated directly from infrasound propagation time and backazimuth deviation.
- Infrasound-derived cross-wind estimates show good agreement with ERA-Interim reanalysis data.
- This method offers a novel approach for monitoring atmospheric winds using geophysical acoustic data.
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