University of Leicester
Browse
Mapping_ionospheric_backscatter_measured_..._Part_1.pdf (1.51 MB)

Mapping ionospheric backscatter measured by the SuperDARN HF radars – Part 1: A new empirical virtual height model

Download (1.51 MB)
journal contribution
posted on 2010-07-05, 13:49 authored by G. Chisham, Tim K. Yeoman, G. J. Sofko
Accurately mapping the location of ionospheric backscatter targets (density irregularities) identified by the Super Dual Auroral Radar Network (SuperDARN) HF radars can be a major problem, particularly at far ranges for which the radio propagation paths are longer and more uncertain. Assessing and increasing the accuracy of the mapping of scattering locations is crucial for the measurement of two-dimensional velocity structures on the small and meso-scale, for which overlapping velocity measurements from two radars need to be combined, and for studies in which SuperDARN data are used in conjunction with measurements from other instruments. The co-ordinates of scattering locations are presently estimated using a combination of the measured range and a model virtual height, assuming a straight line virtual propagation path. By studying elevation angle of arrival information of backscatterred signals from 5 years of data (1997–2001) from the Saskatoon SuperDARN radar we have determined the actual distribution of the backscatter target locations in range-virtual height space. This has allowed the derivation of a new empirical virtual height model that allows for a more accurate mapping of the locations of backscatter targets.

History

Citation

Annales Geophysicae, 2008, 26 (4), pp. 823-841.

Published in

Annales Geophysicae

Publisher

Copernicus Publications on behalf of the European Geosciences Union (EGU)

issn

0992-7689

Copyright date

2008

Available date

2010-07-05

Publisher version

http://www.ann-geophys.net/26/823/2008/

Language

en

Usage metrics

    University of Leicester Publications

    Categories

    No categories selected

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC