Update of the corrective model for Jason-1 DORIS data in relation to the South Atlantic Anomaly and a corrective model for SPOT-5

Capdeville, Hugues; Štěpánek, Petr; Hecker, Louis; Lemoine, Jean‐Michel

doi:10.1016/j.asr.2016.02.009

Cited by 27 publications

(6 citation statements)

References 26 publications

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“…Other examples are the Hubble Space Telescope that stops data collection while passing by the SAA. One SAA effect on the DORIS carrying satellites is the shift of the onboard oscillator frequency (Capdeville et al, 2016). It is known that LEO (low Earth orbit) space vehicles spend a significant part of their time in the SAA area (Grigoryan et al, 2008).…”

Section: Review Of the Saa And Power Spectrum Analysismentioning

confidence: 99%

“…Its extent area at the Earth's surface is continuously growing since instrumental intensity measurements covering part of the Southern Hemisphere and centered in South America are available (Pavón-Carrasco and De Santis, 2016). This region of weak magnetic field has expanded over time and also moved westward (Cnossen and Matzka, 2016). The existence of the SAA is linked closely with the geomagnetic field distribution (Heynderickx, 1996).…”

Section: Introductionmentioning

confidence: 99%

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Characterization of the South Atlantic Anomaly

Nasuddin

Abdullah

Hamid

2019

Nonlin. Processes Geophys.

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Abstract. This research intends to characterize the South Atlantic Anomaly (SAA) by applying the power spectrum analysis approach. The motivation to study the SAA region is due to its nature. A comparison was made between the stations in the SAA region and outside the SAA region during the geomagnetic storm occurrence (active period) and the normal period where no geomagnetic storm occurred. The horizontal component of the data of the Earth's magnetic field for the occurrence of the active period was taken on 11 March 2011 while for the normal period it was taken on 3 February 2011. The data sample rate used is 1 min. The outcome of the research revealed that the SAA region had a tendency to be persistent during both periods. It can be said that the region experiences these characteristics because of the Earth's magnetic field strength. Through the research, it is found that as the Earth's magnetic field increases, it is likely to show an antipersistent value. This is found in the high-latitude region. The lower the Earth's magnetic field, the more it shows the persistent value as in the middle latitude region. In the region where the Earth's magnetic field is very low like the SAA region it shows a tendency to be persistent.

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Section: Review Of the Saa And Power Spectrum Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Characterization of the South Atlantic Anomaly

Nasuddin

Abdullah

Hamid

2019

Nonlin. Processes Geophys.

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“…High energy protons affect the oscillator of space clocks in the SAA region (Belli et al, 2015;Capdeville et al, 2016). They also hit the detectors of stellar cameras on board Low Earth Orbiting (LEO) satellites, such as CoRoT (Auvergne et al, 2009).…”

Section: Introduction: the Particle Flux In The South Atlantic Anomalymentioning

confidence: 99%

The South Atlantic Anomaly throughout the solar cycle

Domingos

Jault

Pais

et al. 2017

Earth and Planetary Science Letters

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The Sun-Earth's interaction is characterized by a highly dynamic electromagnetic environment, in which the magnetic field produced in the Earth's core plays an important role. One of the striking characteristics of the present geomagnetic field is denoted the South Atlantic Anomaly (SAA) where the total field intensity is unusually low and the flux of charged particles, trapped in the inner Van Allen radiation belts, is maximum. Here, we use, on one hand, a recent geomagnetic field model, CHAOS-6, and on the other hand, data provided by different platforms (satellites orbiting the Earth -POES NOAA for 1998 and CALIPSO for 2006. Evolution of the SAA particle flux can be seen as the result of two main effects, the secular variation of the Earth's core magnetic field and the modulation of the density of the inner radiation belts during the solar cycle, as a function of the L value that characterises the drift shell, where charged particles are trapped. To study the evolution of the particle flux anomaly, we rely on a Principal Component Analysis (PCA) of either POES particle flux or CALIOP dark noise. Analysed data are distributed on a geographical grid at satellite altitude, based on a L-shell reference frame constructed from the moving eccentric dipole. Changes in the main magnetic field are responsible for the observed westward drift. Three PCA modes account for the time evolution related to solar effects. Both the first and second modes have a good correlation with the thermospheric density, which varies in response to the solar cycle. The first mode represents the total intensity variation of the particle flux in the SAA, and the second the movement of the anomaly between different L-shells. The proposed analysis allows us to well recover the westward drift rate, as well as the latitudinal and longitudinal solar cycle oscillations, although the analysed data do not cover a complete (Hale) magnetic solar cycle (around 22 yr). Moreover, the developments made here would enable us to forecast the impact of the South Atlantic Anomaly on space weather. A model of the evolution of the eccentric dipole field (magnitude, offset and tilt) would suffice, together with a model for the solar cycle evolution.

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“…Other examples are the Hubble Space Telescope that stops data collection whilst passing by the SAA. One SAA effect on the DORIS carrying satellites is the shift of the onboard oscillator frequency (Capdeville et al, 2016). It is known that LEO (Low Earth Orbit) space vehicles spend a significant part of time in the SAA area (Grigoryan et al, 2008).…”

Section: Review Of Saa and Power Spectrum Analysismentioning

confidence: 99%

Characterization of the South Atlantic Anomaly

Nasuddin¹,

Abdullah²,

Hamid³

2018

Preprint

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Abstract. This research intends to characterize the South Atlantic Anomaly (SAA) by applying power spectrum analysis approach. From the approach, the Hurst exponent can be determined. The motivation to study the SAA region is due to its nature. A comparison was made between the stations in the SAA region and outside the SAA region during the geomagnetic storm occurrence (active period) and normal period where no geomagnetic storm occurred. The data for the occurrence of the active period was taken on 11 March 2011 while for normal period on 3 February 2011. The outcomes of the research revealed that the SAA region had a tendency to be persistent during active period and normal periods. It can be said, it experiences this characteristic because of the Earth’s magnetic field strength. Through the research, it is found that as the Earth magnetic field increases, it is likely to show an antipersistent value. This is found in the high latitude region. The lower the Earth magnetic field, the more it shows the persistent value as in the middle latitude region. In the region where the Earth magnetic field is very low like the SAA region it shows a tendency to be persistent.

show abstract

Update of the corrective model for Jason-1 DORIS data in relation to the South Atlantic Anomaly and a corrective model for SPOT-5

Cited by 27 publications

References 26 publications

Characterization of the South Atlantic Anomaly

Characterization of the South Atlantic Anomaly

The South Atlantic Anomaly throughout the solar cycle

Characterization of the South Atlantic Anomaly

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