1 / 1

Classifying near-range echoes detected by the mid-latitude SuperDARN radars

Classifying near-range echoes detected by the mid-latitude SuperDARN radars Elizabeth McCubbin and Simon Shepherd Thayer School of Engineering, Dartmouth College, Hanover NH. Methods. Results. Introduction. Classifying Meteors Trail Echoes Maximum range gate: 5 Minimum power: 3 dB

Download Presentation

Classifying near-range echoes detected by the mid-latitude SuperDARN radars

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Classifying near-range echoes detected by the • mid-latitude SuperDARN radars Elizabeth McCubbin and Simon ShepherdThayer School of Engineering, Dartmouth College, Hanover NH Methods Results Introduction Classifying Meteors Trail Echoes • Maximum range gate: 5 • Minimum power: 3 dB • Maximum velocity: 150 m/s • Maximum vel. Error: 50 m/s • Minimum spectral width: 25 m/s Dartmouth College led the build of two additional radars with 24 beams near Christmas Valley, Oregon in November as part of the collaboration to develop a network of mid-latitude radars. Recent research on near-range backscattering drifts, has focused on how to determine the classification of meteors trail echoes from other backscattering, such as E-region irregularities and background noise, using the mid-latitude radars. With two radars in close proximity, a comparison on derived velocities show different results that may be caused from E-region plasma drifts that have similar characteristics of meteor trail echoes. A clear distinguish on classifying meteor trail echoes will be a useful tool to develop a global analysis of neutral winds with multiple SuperDARN radars around the mid-latitude region. 2011 01 20 (13:54 UT) Power Meteor scatter in the figures above peak around dawn (bold line is night), where an influx of meteors occur as the earth revolves around the sun [1]. Future Directions Classifying Neutral Winds • Minimum Beams: 5 • Minimum degree b/w first and last beam: 40 • Minimum meteors: 150 Process • Resolution: 6 minutes (3 scans) • Minimum weighted mean: 5 per beams • Minimum days: 10 (for month average) Meteors trails can be seen as “grainy near-range echoes” [2] typically within the first 5 range gates. Velocity References [1] Ceplecha , Zdenek, Jiri Morovicka, W. Graham Elford, Douglas O. Revelle, Robert L. Hawkes, Vladimir Porubcan, and Milos Simek. "Meteor Phenomena and Bodies." Space Science Reviews 84 (1998): 327-471 [2] Hall, G. E., J. W. MacDougall, D. R. Moorcroft, J.-P. St.-Maurice, A. H. Manson, and C. E. Meek. "Super Dual Auroral Radar Network Observations of Meteor Echoes." Journal of Geophysical Research 102.A7 (1997): 14603-4614 The Least Square Fit Model is applied with independent variables of line-of-sight velocity and the azimuthal angle to derive the zonal and meridonal velocity components. Above shows an example of E-region echoes within the meteor classification restrictions. Derive velocities may be directed towards plasma convection.

More Related