loading page

Atmospheric wind and temperature profiles inversion using infrasound: an ensemble model context
  • Ismael Vera Rodriguez,
  • Sven Peter Näsholm,
  • Alexis Le Pichon
Ismael Vera Rodriguez

Corresponding Author:verarodr@ualberta.ca

Author Profile
Sven Peter Näsholm
Norsar, Norsar, Norsar
Author Profile
Alexis Le Pichon
Author Profile


We present an inversion methodology aimed at updating an atmospheric model to be consistent with a set of infrasound-derived observations. Compared to previous approaches, we apply a more flexible parameterization. This permits to incorporate physical and numerical constraints without the need to reformulate the inversion. On the other hand, the optimization conveys an explicit search over the solution space, making the solver computationally expensive. Nevertheless, through a parallel implementation and the use of tight constraints we demonstrate that the methodology is computationally tractable. Constraints to the solution space are derived from the spread (variance) of ERA5 ensemble reanalysis members, which summarize the best current knowledge of the atmosphere from assimilated measurements and physical models. Similarly, the initial model temperature and winds for the inversion are chosen to be the average of these parameters in the ensemble members. The performance of the inversion is demonstrated with the application to infrasound observations from an explosion generated by the destruction of ammunition at Hukkakero, Finland. The acoustic signals are recorded at an array station located at 178 km range, which is within the classical shadow zone distance. The observed returns are assumed to come from stratospheric reflections. Therefore, in this example, the altitude of reflection is also an unknown that is inverted for, together with the updated atmospheric model.
Nov 2020Published in The Journal of the Acoustical Society of America volume 148 issue 5 on pages 2923-2934. 10.1121/10.0002482