Uncertainties associated with parameter estimation in atmospheric infrasound arrays

Szuberla, Curt A. L.; Olson, John V.

doi:10.1121/1.1635407

Cited by 101 publications

(71 citation statements)

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“…While a general agreement between the observed and predicted microbarom azimuths is found, similar to earlier studies by Walker [2012] and Assink et al [2014b], differences up to~20°are often observed. These differences could be associated with approximations in long-range propagation modeling (azimuth uncorrected for transversal wind effects and range-independent atmospheric profiles) [e.g., Walker, 2012;Assink et al, 2014b] as well as uncertainties in the wave parameter estimation [Szuberla and Olson, 2004]. During the onset of the SSW, we note an increased number of low-frequency signals (5-10 s period) from northeasterly direction.…”

Section: Ecmwf Model Validation Using Continuous Infrasound Recordingsmentioning

confidence: 94%

Comparison of co‐located independent ground‐based middle atmospheric wind and temperature measurements with numerical weather prediction models

et al. 2015

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High-resolution, ground-based and independent observations including co-located wind radiometer, lidar stations, and infrasound instruments are used to evaluate the accuracy of general circulation models and data-constrained assimilation systems in the middle atmosphere at northern hemisphere midlatitudes. Systematic comparisons between observations, the European Centre for Medium-Range Weather Forecasts (ECMWF) operational analyses including the recent Integrated Forecast System cycles 38r1 and 38r2, the NASA's Modern-Era Retrospective Analysis for Research and Applications (MERRA) reanalyses, and the free-running climate Max Planck Institute-Earth System Model-Low Resolution (MPI-ESM-LR) are carried out in both temporal and spectral domains. We find that ECMWF and MERRA are broadly consistent with lidar and wind radiometer measurements up to~40 km. For both temperature and horizontal wind components, deviations increase with altitude as the assimilated observations become sparser. Between 40 and 60 km altitude, the standard deviation of the mean difference exceeds 5 K for the temperature and 20 m/s for the zonal wind. The largest deviations are observed in winter when the variability from large-scale planetary waves dominates. Between lidar data and MPI-ESM-LR, there is an overall agreement in spectral amplitude down to 15-20 days. At shorter time scales, the variability is lacking in the model by~10 dB. Infrasound observations indicate a general good agreement with ECWMF wind and temperature products. As such, this study demonstrates the potential of the infrastructure of the Atmospheric Dynamics Research Infrastructure in Europe project that integrates various measurements and provides a quantitative understanding of stratosphere-troposphere dynamical coupling for numerical weather prediction applications.

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Section: Ecmwf Model Validation Using Continuous Infrasound Recordingsmentioning

confidence: 94%

Comparison of co‐located independent ground‐based middle atmospheric wind and temperature measurements with numerical weather prediction models

et al. 2015

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“…Considering the uncertainties associated with the estimation of infrasound parameters, we have estimated the 95% confidence intervals for the estimated slowness values, using the method described by Szuberla and Olson [2004]. We have found that these uncertainties fall within the range of typical IMS infrasound arrays.…”

Section: Discussionmentioning

confidence: 99%

“…Lastly, the spread in the observed waveform parameters is not fully explained by these simulations. This could be explained by full-wave effects (for example, associated with small-scale fluctuations [Kulichkov, 2010]) or by uncertainties associated with the parameter estimation [Szuberla and Olson, 2004].…”

Section: Predictions and Observationsmentioning

confidence: 99%

Evaluation of wind and temperature profiles from ECMWF analysis on two hemispheres using volcanic infrasound

et al. 2014

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In this paper, we evaluate vertical wind and temperature profiles that are produced by the European Centre for Medium‐Range Weather Forecasts (ECMWF) atmospheric analysis. The evaluation is carried out on both hemispheres: we make use of stratospheric infrasound arrivals from Mount Etna (37°N) and Mount Yasur (22°S). The near‐continuous, high activity of both volcanoes permits the study of stratospheric propagation along well‐defined paths with a time resolution ranging from hours to multiple years. Infrasound observables are compared to theoretical estimates obtained from acoustic propagation modeling using the ECMWF analysis. While a first‐order agreement is found for both hemispheres, we report on significant discrepancies around some of the equinox periods and other intervals during which the atmosphere is in a state of transition and dynamical oscillations of the atmosphere dominate over the general circulation. We present an inversion study in which we make use of measured trace velocity estimates to estimate first‐order effective sound speed model updates in a Bayesian framework. Deviations from the a priori models around the stratopause up to 10% (≈ 30 m s−1) are estimated. Such updates are in line with the results from comparisons between ECMWF analysis and observations from lidar and microwave Doppler spectroradiometer facilities that were colocated during the course of the 2012–2013 Atmospheric dynamics Research and InfraStructure in Europe (ARISE) measurement campaign.

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“…7 This single-sensor failure mode has virtually no effect on srcLoc. Under srcLoc, there is no requirement for small clusters of sensors; with sufficient digitizers, sensors can be randomly scattered throughout the area of interest.…”

Section: Discussionmentioning

confidence: 99%

Explosion localization via infrasound

Szuberla

Olson

Arnoult

2009

The Journal of the Acoustical Society of America

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Two acoustic source localization techniques were applied to infrasonic data and their relative performance was assessed. The standard approach for low-frequency localization uses an ensemble of small arrays to separately estimate far-field source bearings, resulting in a solution from the various back azimuths. This method was compared to one developed by the authors that treats the smaller subarrays as a single, meta-array. In numerical simulation and a field experiment, the latter technique was found to provide improved localization precision everywhere in the vicinity of a 3-km-aperture meta-array, often by an order of magnitude.

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Uncertainties associated with parameter estimation in atmospheric infrasound arrays

Cited by 101 publications

References 10 publications

Comparison of co‐located independent ground‐based middle atmospheric wind and temperature measurements with numerical weather prediction models

Comparison of co‐located independent ground‐based middle atmospheric wind and temperature measurements with numerical weather prediction models

Evaluation of wind and temperature profiles from ECMWF analysis on two hemispheres using volcanic infrasound

Explosion localization via infrasound

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