Title: Statistical study of ionospheric smallscale irregularities at midlatitudes using GPS measurements
1Statistical study of ionospheric small-scale
irregularities at mid-latitudes using GPS
measurements
IRI/COST 296 Workshop 10 14 July 2007
Royal Meteorological Institute of Belgium
2PLAN
- Introduction
- Number of events Probability of occurrence
- Dependance on the solar cycle
- Local hour analysis seasonal behavior
- Amplitude of RoTEC (TEC time derivative)
- Maximum daily RoTEC several solar phases
- Worst cases study
high solar activity (2002)
low solar activity (2006)
Flare of DOY 301/03
Geomagnetic storm of DOY 303/03
Conclusion
3Introduction
- Computing the ionospheric variability with GPS
measurements
- Compute the TEC thanks to the Geometric-Free (GF)
combination
TECU/min
4Introduction
- Modelling RoTEC with a low order polynomial
- Compute the residuals RoTEC polynomial
- On 15 minutes periods, compute the
standard deviation s of the residuals ?
ionospheric variability
If s gt 0,08 TECU/min, then an ionospheric
event is detected
15 min
5Introduction
TIDs
2 types of small-scale structures
NLS
TIDs (Travelling Ionospheric disturbances)
NLS (Noise-like structures)
61. Number of events Probability of occurrence
- a) Dependance on the solar cycle
- Month resolution appearance of most disturbed
months
- Approximation NLS very low
- ? variability TIDs
- Variability observed in all phases of solar cycle
- TIDs occurrence modulated by solar cycle
- Winter months annual peak
71. Number of events Probability of occurrence
- a) Dependance on the solar cycle
- Day resolution appearance of most disturbed days
(10)
090/01
310/01
324/03
034/02
GS
303/03
328/01
TID
302/03
276/01
033/02
340/01
81. Number of events Probability of occurrence
- b) Local hour analysis seasonal behavior
15 min time resolution
91. Number of events Probability of occurrence
- b) Local hour analysis seasonal behavior
winter
50
spring
Whole year 2002
autumn
summer
101. Number of events Probability of occurrence
- b) Local hour analysis seasonal behavior
15 min time resolution
111. Number of events Probability of occurrence
- b) Local hour analysis seasonal behavior
winter
spring
Whole year 2006
ltlt
autumn
summer
122. Amplitude of TEC time derivative
9,839
5,088
2003
Severe geomagnetic storms
2002
Solar maximum
2,211
2006
Solar minimum
1,197 TECU/min
132. Amplitude of TEC time derivative
- extreme values 10 TECU/min ? geomagn. storms
- high values gt 1 TECU/min ? large TIDs
- extreme values 1,2 TECU/min
- high values gt 0,5 - 0,6 TECU/min
? large TIDs
Maximum daily RoTEC
- quite different from total events number
- BUT indicator of extreme events (like solar
flares)
Useful to study the worst cases
142. Amplitude of TEC time derivative
- b) Worst case study DOY 301/03 (28/10/03)
Origin solar flare on disk Local hour at
Brussels 11h ( max ionospheric
effect) Effects in TEC and RoTEC
- biggest in EUV (SOHO/CELIAS-SEM)
- fourth in X-rays ( NOAA X17,2)
30
4,7 TECU/min
152. Amplitude of TEC time derivative
- c) Worst case study DOY 303/03 (30/10/03)
Origin geomagnetic storm caused by a CME
Local hour at Brussels 21 h Effects in TEC
and RoTEC
200
9,8 TECU/min
16Conclusions
- Ionospheric activity during ALL solar phases (but
modulated)
Strong TIDs even during solar minimum
threat for GNSS applications (RTK)
- Probability of occurrence
- autumn/winter gtgtgt spring/summer
- max around noon
- during solar maximum
- up to 9 TECU/min (geomagnetic storms)
17THANK YOU FOR YOUR ATTENTION
Questions?