Computer Science – Sound
Scientific paper
May 2006
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006agusmsa41a..04d&link_type=abstract
American Geophysical Union, Fall Meeting 2007, abstract #SA41A-04
Computer Science
Sound
3360 Remote Sensing, 3369 Thermospheric Dynamics (0358), 0520 Data Analysis: Algorithms And Implementation, 3285 Wave Propagation (0689, 2487, 4275, 4455, 6934), 3334 Middle Atmosphere Dynamics (0341, 0342)
Scientific paper
The Naval Research Laboratory Ground-to-Space (G2S) semi- empirical model provides global specifications of the atmosphere from the ground to the thermosphere. The system is based on daily operational numerical weather prediction products and the NRLMSISE-00/HWM-93 empirical models. The purpose of this system is to provide observationally based specifications of the atmospheric state from ground to the thermosphere in order to interpret low-frequency sound waves, also known as infrasound, emanating from distant natural and man-made events (1). Modeling of infrasound signals from well known ground-truth events clearly demonstrates the value of having detailed and accurate atmospheric specifications of neutral winds and temperatures for analysis purposes. Most operational numerical weather prediction (NWP) centers are presently only capable of providing atmospheric specification for the 0 to 55 km region. For the mesosphere and lower thermosphere operational multi-instrument monitoring and assimilation systems face a number of ongoing challenges. To address some of these challenges, applied knowledge of the upper atmosphere is provided to the G2S model by the NRLMSISE-00/HWM-93 empirical atmospheric models. Matching the boundary conditions and information content between the two models is a non-trivial task. The methodology employed by the G2S model to solve this problem, as well as a system overview will be presented. A wealth of recent research observations would suggest that the HWM-93 empirical model coefficients and spectral resolution are in need of revision. Evidence for this will be presented in the context of the application of the NRL-G2S and NRLMSISE-00/HWM-93 models to predict the characteristics a of multi-year time series infrasound signals from volcanic eruptions in the New Caledonia/Vanuatu region (2). Results and techniques for acoustic passive remote sensing of the upper atmosphere which can be combined with and validated against recent satellite- and/or ground-base measurements of neutral upper atmospheric winds will be presented. Lastly, contributions of this research to further the understanding of seasonal and daily tidal variability, the significance and influence of gravity waves, and the relevance to first-principles general circulation modeling and data assimilation systems for the mesosphere and lower thermosphere will be presented. (1) Drob, D.P., Picone J.M., and Garcés, M., The Global Morphology of Infrasound Propagation, J. Geophys. Res., 108 (D21), doi:10.1029/2002JD003307, 2003. (2) Le Pichon A, Blanc E, Drob D, et al., Infrasound monitoring of volcanoes to probe high-altitude winds, J. Geophys. Res., 110, D13106, doi:10.1029/2004JD005587, 2005
Drob Douglas P.
Garces Miguel
Le Pichon Alexis
Picone Michael J.
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