Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=30034982
&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215
Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\30034982
.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117 J+Geophys+Res+Space+Phys
2017 ; 122
(6
): 6799-6811
Nephropedia Template TP
gab.com Text
Twit Text FOAVip
Twit Text #
English Wikipedia
A multiresolution inversion for imaging the ionosphere
#MMPMID30034982
Yin P
; Zheng YN
; Mitchell CN
; Li B
J Geophys Res Space Phys
2017[Jun]; 122
(6
): 6799-6811
PMID30034982
show ga
Ionospheric tomography has been widely employed in imaging the large-scale
ionospheric structures at both quiet and storm times. However, the tomographic
algorithms to date have not been very effective in imaging of medium- and
small-scale ionospheric structures due to limitations of uneven ground-based data
distributions and the algorithm itself. Further, the effect of the density and
quantity of Global Navigation Satellite Systems data that could help improve the
tomographic results for the certain algorithm remains unclear in much of the
literature. In this paper, a new multipass tomographic algorithm is proposed to
conduct the inversion using intensive ground GPS observation data and is
demonstrated over the U.S. West Coast during the period of 16-18 March 2015 which
includes an ionospheric storm period. The characteristics of the multipass
inversion algorithm are analyzed by comparing tomographic results with
independent ionosonde data and Center for Orbit Determination in Europe total
electron content estimates. Then, several ground data sets with different data
distributions are grouped from the same data source in order to investigate the
impact of the density of ground stations on ionospheric tomography results.
Finally, it is concluded that the multipass inversion approach offers an
improvement. The ground data density can affect tomographic results but only
offers improvements up to a density of around one receiver every 150 to 200 km.
When only GPS satellites are tracked there is no clear advantage in increasing
the density of receivers beyond this level, although this may change if multiple
constellations are monitored from each receiving station in the future.
free
free
free
