A Norwegian Ionosphere Model based on GPS Data
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Transcript A Norwegian Ionosphere Model based on GPS Data
A Norwegian
Ionosphere Model
Based on GPS Data
Anna B.O. Jensen
Nordic Institute of Navigation
Oslo, June 2008
Outline
Navigation in the arctic
Ionospheric activity at high latitudes
SATREFTM Ionosphere Model
Verification towards IGS GIM
Comparison with EGNOS ionosphere
model
Summary
Navigation in the arctic (1)
Norway is located at high
latitudes, from 60° to 80° N,
mainly in the arctic region
GPS is used extensively as a navigational mean
in the arctic
Unfortunately, GNSS performance is limited in
the arctic compared to mid latitudes
Navigation in the arctic (2)
Much offshore activity
in the Norwegian Sea
Need for reliable
navigation
In the future:
Increasing activity and
more traffic due to global
warming and more oil
and gas exploration
Increasing need
for navigation
Ionospheric activity at high latitudes
At high latitudes characteristics of the
ionospheric activity are different than at
mid latitudes:
Higher ionospheric variability
Increased amount of scintillation
This does affect navigation users e.g. by:
Reduced accuracy
Poor signal tracking (loss of lock)
Ionospheric activity at high latitudes
Feb. 28, 2008
70°N network
60°N network
Trimble gpsnet
software
TM
SATREF
Ionosphere Model (1)
Several ionosphere models exist, but
they are generally poor for high latitudes
In 2007 the NMA therefore started
development of a regional Norwegian
ionosphere model based on the
SATREFTM network of GNSS stations
TM
SATREF
Ionosphere Model (2)
The model is based on:
GPS data from selected
SATREFTM stations
Estimation of ionospheric
delays in the stations
Spatial interpolation to
obtain nationwide grid
model
Test area
Test data
Day of year
Date
K-index
DOY 015
Jan. 15, 2008
2–4
Iono.
activity
Low
DOY 033
Feb. 02, 2008
2–6
Medium
DOY 059
Feb. 28, 2008
2–6
Medium
DOY 324
Nov. 20, 2007
1-5
Medium
Verification towards GIM (1)
Verification with respect to the Global
Ionosphere Model (GIM) of the IGS
IONEX files retrieved from the IGS web
site, and L1 ionosphere delays extracted
for comparison with SATREFTM
Ionosphere Model
20 grid points used for verification
Verification towards GIM (2)
Differences, SATREFTM minus IGS GIM
Date
Jan. 15, 2008
Mean
[ meter ]
-0.02
Std. dev.
[ meter ]
0.12
Feb. 02, 2008
-0.03
0.12
Feb. 28, 2008
-0.04
0.18
Nov. 20, 2007
-0.05
0.19
30 second sampling, 20 grid points
Verification towards GIM (3)
Summing up:
Mean of differences of 2 - 5 cm is
basically negligible
• Indicates no offset between the two models
Standard deviation of 12 – 19 cm
• Occur mainly because no filtering is applied
to the SATREFTM model
• Lower standard deviation on the day with low
ionospheric activity
Comparison with the EGNOS iono. model
Verification of the SATREFTM model
towards the IGS GIM showed acceptable
results
Therefore, the SATREFTM model is now
used for a preliminary evaluation of the
performance of the EGNOS ionosphere
model in the arctic
Comparison with EGNOS iono. model
Differences, SATREFTM minus EGNOS
Date
Std. dev.
[ meter ]
0.15
Samples
Jan. 15, 2008
Mean
[ meter ]
-0.12
Feb. 02, 2008
-0.10
0.20
6230
Feb. 28, 2008
-0.15
0.20
6435
Nov. 20, 2007
-0.12
0.23
6189
16 grid points
6868
Selected grid point – Feb. 28, 2008
EGNOS: blue, GIM: green, SATREFTM: red
EGNOS model is biased
Test area
Selected grid points – Feb. 28, 2008
EGNOS bias for upper grid point
Selected grid points – Feb. 2, 2008
Another day - again EGNOS bias for same point
16 grid points, Jan. 15, 2008
Future work
Modify model to run in real time
Lots of programming
Further investigations to decide on:
Coverage area
Grid spacing
Number of SATREFTM stations to include
Temporal update interval
Information to users – web application
Summary
Development of the SATREFTM Ionosphere
Model has been initiated
Verification of the SATREFTM Ionosphere Model
towards the IGS GIM show very good results
Comparison with EGNOS model show
deviations for some grid points
Improvement expected with new EGNOS version this
summer
Acknowledgments
Thanks to the Norwegian Space Centre
for providing support for the work
Thanks to Ola Øvstedal, Norwegian
University of Life Sciences in Ås, for
valuable discussions during the
development phase