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ABSTRACTS | ABSTRACT DETAILS

 

Author:David Norris
Institution:BBN Technologies, 1300 N. 17th St., Arlington VA, 22209
Email:dnorris@bbn.com
Authors:David Norris and Robert Gibson
Abstract Title:

"Changes in the Performance of the IMS Infrasound Network due to Seasonal Propagation Effects"
Abstract:

The goal of the International Monitoring System (IMS) is to provide global monitoring of nuclear explosions, and infrasound is a key component of this monitoring network. Thus, modeling the performance of the infrasound network is critical in evaluating the ability to provide global IMS monitoring coverage. The performance of the infrasound network is influenced not only by the number of stations and their locations, but also by the environmental conditions that affect the propagation. The software tool kit InfraMAP has been developed for these types of applications. InfraMAP is a research and analysis software tool kit that combines propagation models with environmental characterizations for prediction of infrasonic propagation. Recent enhancements include a propagation variability model and source localization algorithm.

InfraMAP has been used to map the global presence of stratospheric propagation ducts for a given atmospheric state. Stratospheric energy is of interest because it generally produces the strongest arrivals at a station and hence can improve the performance of a network. In this study, InfraMAP is used to evaluate the changes in the performance of the IMS infrasonic network as a function of season. For each of the 60 IMS stations, the presence of stratospheric ducting is quantified over the time of year. Parameterizations are made of SNR, uncertainties in travel time and back azimuth, and signal velocity. Detection and localization capabilities are then evaluated for a source moved over a uniform grid in latitude and longitude. Network performance is quantified by mapping the area of uncertainty (AOU) over the globe, where AOU is the area of the 95 percent probability ellipse enclosing the localization.
Keywords:IMS, Network Performance, AOU, Propagation variability

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