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Assessing middle atmosphere weather models using infrasound detections from microbaroms

Hupe, Patrick and Ceranna, Lars and Pilger, Christoph and de Carlo, Marine and Pichon, Alexis Le and Kaifler, Bernd and Rapp, Markus (2019) Assessing middle atmosphere weather models using infrasound detections from microbaroms. Geophysical Journal International, pp. 1761-1767. Oxford University Press. DOI: 10.1093/gji/ggy520 ISSN 0956-540X

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Official URL: http://dx.doi.org/10.1093/gji/ggy520


The non-linear interaction of ocean surface waves produces coherent infrasound noise—microbaroms—between 0.1 and 0.5 Hz. Microbaroms propagate through the atmosphere over thousands of kilometres due to low absorption and efficient ducting between the ground and the stratopause. These signals are globally and permanently detected by the International Monitoring System (IMS) infrasound network, which has been established to monitor compliance with the Comprehensive Nuclear-Test-Ban Treaty. At the International Data Centre (IDC) in Vienna, where IMS data are routinely processed, microbarom detections appear in overlapping frequency bands, and are treated as false alarms. Therefore, understanding the variability in microbarom detections is essential to support the IDC in the reduction of the false alarm rate. In this study, microbarom amplitudes and the direction of arrivals at the German infrasound station IS26 were modelled. For the simulations, the source was described by an operational ocean wave interaction model, and the signal amplitude was modelled using a semi-empirical attenuation relation. This relation strongly depends on middle atmosphere (MA; i.e. 15–90 km altitude) dynamics; however, vertical temperature and wind profiles, provided by numerical weather prediction (NWP) models, exhibit significant biases and differences when compared with high-resolution lidar soundings in altitudes where infrasound signals propagate. To estimate uncertainties in the modelled amplitude, a fully autonomous lidar for MA temperature measurements was installed at IS26. Temperature and wind perturbations, considering observed biases and deviations, were added to the operational high-resolution atmospheric model analysis produced by the European Centre for Medium-Range Weather Forecasts. Such uncertainties in horizontal winds and temperature strongly impact propagation conditions, explaining almost 97 per cent of the actual detections, compared to 77 per cent when using the direct output of the NWP model only. Incorporating realistic wind and temperature uncertainties in NWP models can thus significantly improve the understanding of microbarom detections as well as the detection capability of a single station throughout the year.

Item URL in elib:https://elib.dlr.de/124701/
Document Type:Article
Title:Assessing middle atmosphere weather models using infrasound detections from microbaroms
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
de Carlo, MarineCEA, DAM, DIF, F-91680 Arpajon, FranceUNSPECIFIED
Pichon, Alexis LeCEA, DAM, DIF, F-91680 Arpajon, FranceUNSPECIFIED
Kaifler, BerndDLR, IPAhttps://orcid.org/0000-0002-5891-242X
Rapp, MarkusDLR, IPAhttps://orcid.org/0000-0003-1508-5900
Date:1 March 2019
Journal or Publication Title:Geophysical Journal International
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.1093/gji/ggy520
Page Range:pp. 1761-1767
Publisher:Oxford University Press
Keywords:infrasound, middle atmosphere dynamics, lidar
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):Vorhaben Mittlere Atmosphäre
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Atmospheric Physics
Institute of Atmospheric Physics > Lidar
Deposited By: Kaifler, Dr. Natalie
Deposited On:11 Dec 2018 13:11
Last Modified:17 Sep 2019 11:09

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