Distribution of energetic particle fluxes in the vicinity of SAA according to kriging interpolation

Suparta, Wayan; Ali, Mohd Alaudin Mohd; Gusrizal,; Ahmad, Nizam

doi:10.1109/iconspace.2013.6599425

Cited by 5 publications

(6 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Data will be collected and analyzed from Kakadu residing in geographic latitude -12.69 degrees and geographic longitude 132.47 degrees to the SAA position. SAA is located at an altitude of 200-800 km above the earth's surface and extends from 0 to -50 degrees of latitude and from -90 to 40 degrees of longitude [8]. The SAA position move over the period, however, this movement rate is not continuous.…”

Section: Methodsmentioning

confidence: 99%

“…In order to convert the X N and Y N in the spherical cap coordinate system into X o and Y o in the spherical coordinate system, the method require are:-X 0 = X N cos + Y N sin ______________ (8) Y 0 = -X N sin + Y N cos ____________ (9) In studying the effect of SAA on the near equatorial satellites, one of the methods suggested is through the model. The model will be used to test, validate and verify the near equatorial satellites which have been affected by the SAA.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Preliminary study on the near equatorial magnetic field model and South Atlantic Anomaly

Nasuddin

Abdullah

Hamid

et al. 2015

2015 International Conference on Space Science and Communication (IconSpace)

View full text Add to dashboard Cite

The geomagnetic field is generated inside its molten iron core as a result of a mixture of the electrical forces within the core, daily Earth's rotation, and its thermal movement. The purpose of the study is to build the model of the near equatorial magnetic field, studying the effect of South Atlantic Anomaly on the near equatorial satellites and analyzing the characterization of the geomagnetic field. The building of the model is important since it can provide a better result in a small area compare to a large area. In this research, 6 stations located near the equatorial region were selected. The stations chosen can be used in designing the model using spherical cap harmonic analysis. The result for this research is still preliminary stage. The model constructed will be tested, verified and validated. The wellverified model will be capable to predict the characteristic of the geomagnetic field and can be used to study the effect of South Atlantic anomaly on the near equatorial satellites.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Preliminary study on the near equatorial magnetic field model and South Atlantic Anomaly

Nasuddin

Abdullah

Hamid

et al. 2015

2015 International Conference on Space Science and Communication (IconSpace)

View full text Add to dashboard Cite

show abstract

“…Several researches has been conducted regarding SAA region. Study on the distribution of energetic particle fluxes near SAA, based on Kriging Interpolation, was conducted by Suparta et al (2013). Kriging interpolation was used in this research to forecast the dissemination of solar charged particles in the SAA area.…”

Section: Review Of Saa and Power Spectrum Analysismentioning

confidence: 99%

“…Kriging interpolation was used in this research to forecast the dissemination of solar charged particles in the SAA area. Data from electrons with 30 keV energy level (meped0e1) taken from the National Oceanic and Atmospheric Administration (NOAA) 15 satellite, on September 2003 and 28 October in 2003 are employed (Suparta et al, 2013). The approach of Ordinary Kriging (OK) was selected since it is the finest linear unbiased estimator.…”

Section: Review Of Saa and Power Spectrum Analysismentioning

confidence: 99%

Characterization of the South Atlantic Anomaly

Nasuddin¹,

Abdullah²,

Hamid³

2018

Preprint

View full text Add to dashboard Cite

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

“…In the previous work Suparta et al (2013) used a simple Kriging method to obtain the entire flux distribution over the SAA region. In this work Kriging is improved using a universal Kriging method.…”

Section: Estimation Methodsmentioning

confidence: 99%

A hierarchical Bayesian spatio-temporal model to forecast trapped particle fluxes over the SAA region

Suparta

Gusrizal

Kudela

et al. 2017

Terr. Atmos. Ocean. Sci.

Self Cite

View full text Add to dashboard Cite

The particles trapped in the Earth's inner radiation belts could harm low Earth orbit (LEO) satellites. Although the inner radiation belts are usually stable, their response to extremely large solar geomagnetic events can produce satellite anomalies. The risk is higher because of frequent LEO satellite passes through the South Atlantic Anomaly (SAA). A model for forecasting the trapped particle flux distribution in equatorial LEO based on the hierarchical Bayesian spatio-temporal (HBST) statistical model was developed to address the risk to satellites. This model is applicable to low-and mediumenergy electrons and protons under all solar activity conditions. Dynamic rather than static data were also used. A simple HBST model named the Gaussian process (GP) was developed using NOAA 15 -17 data, which categorized particle energies as > 30 keV (mep0e1) and > 300 keV (mep0e3) for electrons and 80 -240 keV (mep0p2) and 800 -2500 keV (mep0p4) for protons in the SAA region. The goal of this study is to examine the applicability of this model during a quiet period (15 -19 May 2009) and a period of high solar activity (26 -30 October 2003). The forecast was then interpolated using a Kriging technique to estimate the particle distribution. Statistical and visual validations showed good indicators, with average mean relative error (MRE) values of 20 -30% for both periods and a similar pattern as that of the National Oceanic and Atmospheric Administration (NOAA) map. This work contributes a method for predicting the trapped particle flux distribution at low latitude LEOs.

show abstract

Distribution of energetic particle fluxes in the vicinity of SAA according to kriging interpolation

Cited by 5 publications

References 8 publications

Preliminary study on the near equatorial magnetic field model and South Atlantic Anomaly

Preliminary study on the near equatorial magnetic field model and South Atlantic Anomaly

Characterization of the South Atlantic Anomaly

A hierarchical Bayesian spatio-temporal model to forecast trapped particle fluxes over the SAA region

Contact Info

Product

Resources

About