FN Archimer Export Format
PT J
TI Benchmarking microbarom radiation and propagation model against infrasound recordings: a vespagram-based approach
BT 
AF Vorobeva, Ekaterina
   De Carlo, Marine
   Le Pichon, Alexis
   Espy, Patrick Joseph
   Näsholm, Sven Peter
AS 1:1,2;2:3,4;3:3;4:1;5:2,5;
FF 1:;2:;3:;4:;5:;
C1 Department of Physics, Norwegian University of Science and Technology, Trondheim, Norway
   NORSAR, Kjeller, Norway
   The French Alternative Energies and Atomic Energy Commission (CEA) – DAM, DIF, 91297 Arpajon, France
   Laboratoire d'Océanographie Physique et Spatiale (LOPS), Univ. Brest, CNRS, IRD, Ifremer, IUEM, Brest, France
   Department of Informatics, University of Oslo, Oslo, Norway
C2 UNIV NORWEGIAN, NORWAY
   NORSAR, NORWAY
   CEA, FRANCE
   UBO, FRANCE
   UNIV OSLO, NORWAY
UM LOPS
IN WOS Cotutelle UMR
   DOAJ
   copubli-france
   copubli-europe
IF 2.19
TC 8
UR https://archimer.ifremer.fr/doc/00702/81364/85725.pdf
   https://archimer.ifremer.fr/doc/00702/81364/85726.pdf
LA English
DT Article
AB This study investigates the use of a vespagram-based approach as a tool for multi-directional comparison between simulated microbarom soundscapes and infrasound data recorded at ground-based array stations. Data recorded at the IS37 station in northern Norway during 2014–2019 have been processed to generate vespagrams (velocity spectral analysis) for five frequency bands between 0.1 and 0.6 Hz. The back azimuth resolution between the vespagram and the microbarom model is harmonized by smoothing the modeled soundscapes along the back azimuth axis with a kernel corresponding to the frequency-dependent array resolution. An estimate of similarity between the output of the microbarom radiation and propagation model and infrasound observations is then generated based on the image-processing approach of the mean square difference. The analysis reveals that vespagrams can monitor seasonal variations in the microbarom azimuthal distribution, amplitude, and frequency, as well as changes during sudden stratospheric warming events. The vespagram-based approach is computationally inexpensive, can uncover microbarom source variability, and has the potential for near-real-time stratospheric diagnostics and atmospheric model assessment. 
PY 2021
PD JUL
SO Annales Geophysicae
SN 0992-7689
PU Copernicus GmbH
VL 39
IS 3
UT 000662104300001
BP 515
EP 531
DI 10.5194/angeo-39-515-2021
ID 81364
ER

EF