Suggested new observing strategies for radar meteor observations

J. D. Mathews

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Thorough understanding of the radio science aspects of radar meteors is required to correctly interpret observations, to inform modeling, and to design new observational modes. For example, it has been argued that meteoroid fragmentation is a dominant feature even in classical trail-echo radar results but how best to further explore this result? We suggest that common-volume radars operating at two or more nearby frequencies and/or that two, or more, radars viewing a common volume at widely differing aspect angles will yield vastly more information on the meteoroid processes giving rise to the mutual radar signatures. In particular, we present a modeling study of the head-and trail-echo signatures at 40, 45, and 50 MHz of variable trail-length and fragmenting-meteoroid radar meteors. This reveals that simple scattering scenarios, e.g., the head/trail-echoes from a few meteoroid fragments, evolve somewhat differently at the different frequencies in a decipherable manner. We also note the importance of multiple aspect angle common-volume radars and of combining optical and radar observations.

    Original languageEnglish (US)
    Title of host publication2014 31th URSI General Assembly and Scientific Symposium, URSI GASS 2014
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781467352253
    DOIs
    StatePublished - Oct 17 2014
    Event31st General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2014 - Beijing, China
    Duration: Aug 16 2014Aug 23 2014

    Publication series

    Name2014 31th URSI General Assembly and Scientific Symposium, URSI GASS 2014

    Other

    Other31st General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2014
    Country/TerritoryChina
    CityBeijing
    Period8/16/148/23/14

    All Science Journal Classification (ASJC) codes

    • Electrical and Electronic Engineering
    • Computer Networks and Communications

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