Comparison of MSTID and Sporadic E Distributions in Ionosphere Study

 
Comparison of MSTID and sporadic E
Distributions
 
Hyosub Kil and Larry Paxton 
(JHU/APL)
Wookyoung Lee 
(Korea Astronomy and Space Science Institute)
 
Introduction
 
Atmospheric gravity waves and sporadic E (transient high
electron density at 80-130 km altitude) are understood as
important elements for the development of medium scale
traveling ionospheric disturbances (MSTIDs).
Here we investigate the role of sporadic E by comparing
the distributions of sporadic E and MSTID.
Both Sporadic E and MSTID data were derived from
CHAMP observations.
CHAMP satellite was operated from July 2000 to
September 2010 at an altitude of 400 km with an orbital
inclination of 87.25°.
 
MSTID
 
Sporadic E
 
SNR profiles of GPS L1 signal
Extract perturbations through
normalization and smoothing using
high band pass filter (Savitzky-
Golay filter)
Threshold: residuals > 0.2
 
Normalized SNR              Residuals
 
Altitude (km)
 
Sporadic E detection from GPS radio occultation (RO) data
 
Data distribution
 
Sporadic E distribution
 
Sporadic E distribution
 
Northern Hemisphere                                           Southern Hemisphere
 
Used data at ±25°–50°
magnetic latitude
Sporadic E occurs
preferentially during
summer months
No pronounced solar
cycle dependence
Local time dependence
is not obvious
 
Month
 
Local Time (h)
1.
Background density: Savitzky-Golay filter
2.
ΔN = log (N) – log (SG filter)
3.
ΔN/N = ΔN/ log (N)
MSTID detection from CHAMP LP data
 
Nighttime MSTID distribution
 
Solar max.
 
Solar min.
 
Used data at ±25°–50°
magnetic latitude at 21-03 LT
Semi-annual variation
Clear solar cycle dependence
Hemispheric asymmetry,
especially during solar max.
 
Sporadic E
 
MSTID
 
Consistent features:
Seasonal variation, longitudinal variation
Inconsistent features:
Solar cycle dependence, hemispheric distributions, longitudinal variation
 
Nighttime
 
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The MSTID activity can be partially explained in terms of
sporadic E based on the sporadic E and MSTID distributions.
We will further investigate the sporadic E distribution by using
other observation data (COSMIC).
The effect of sporadic E and thermospheric conditions on the
development of MSTID and conjugacy will be investigated by
conducting SAMI3 model simulations.
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Investigating the role of sporadic E in medium-scale traveling ionospheric disturbances by comparing its distribution with MSTID using CHAMP satellite data. Sporadic E and MSTID occurrences, detection methods, and distribution patterns in different hemispheres are explored, revealing seasonal variations and occasional inconsistency in features such as solar cycle dependence and hemispheric distributions.

  • Ionosphere Study
  • MSTID
  • Sporadic E
  • CHAMP Satellite
  • Seasonal Variations

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  1. Comparison of MSTID and sporadic E Distributions Hyosub Kil and Larry Paxton (JHU/APL) Wookyoung Lee (Korea Astronomy and Space Science Institute)

  2. Introduction MSTID Atmospheric gravity waves and sporadic E (transient high electron density at 80-130 km altitude) are understood as important elements for the development of medium scale traveling ionospheric disturbances (MSTIDs). Here we investigate the role of sporadic E by comparing the distributions of sporadic E and MSTID. Both Sporadic E and MSTID data were derived from CHAMP observations. CHAMP satellite was operated from July 2000 to September 2010 at an altitude of 400 km with an orbital inclination of 87.25 .

  3. Sporadic E detection from GPS radio occultation (RO) data SNR profiles of GPS L1 signal Extract perturbations normalization and smoothing using high band pass filter (Savitzky- Golay filter) Threshold: residuals > 0.2 through Altitude (km) Sporadic E Normalized SNR Residuals

  4. Data distribution Sporadic E distribution

  5. Sporadic E distribution Northern Hemisphere Southern Hemisphere Used data at 25 50 magnetic latitude Sporadic E occurs preferentially during summer months No pronounced solar cycle dependence Local time dependence is not obvious Local Time (h) Month

  6. MSTID detection from CHAMP LP data 1. Background density: Savitzky-Golay filter 2. N = log (N) log (SG filter) 3. N/N = N/ log (N)

  7. Nighttime MSTID distribution Solar min. Solar max. 2001 2003 2004 2006 2007 2009 Used data at 25 50 magnetic latitude at 21-03 LT Semi-annual variation Clear solar cycle dependence Hemispheric asymmetry, especially during solar max.

  8. Sporadic E Nighttime MSTID 2001 2003 2004 2006 2007 2009 Consistent features: Seasonal variation, longitudinal variation Inconsistent features: Solar cycle dependence, hemispheric distributions, longitudinal variation

  9. Conclusions and Future work Conclusions and Future work The MSTID activity can be partially explained in terms of sporadic E based on the sporadic E and MSTID distributions. We will further investigate the sporadic E distribution by using other observation data (COSMIC). The effect of sporadic E and thermospheric conditions on the development of MSTID and conjugacy will be investigated by conducting SAMI3 model simulations.

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