ISWI Newsletter - Vol.8 No.03
31 January 2016

Dear ISWI Participant:

This is Issue "Number 3 of Volume 8". Volume 8 means "Year 2016". Volume 1 is "Year 2009". All back issues of this newsletter are available at this website.

George Maeda
Editor of ISWI Newsletter


[1] Ionospheric flare detection using Raspberry Pi report (read it)

[1] Ionospheric flare detection using Raspberry Pi


Stanford SOLAR Centre of Stanford University introduced the Space Weather Monitoring program with the aim of building and distributing inexpensive ionospheric monitors named Sudden Ionospheric Disturbance or SID for short. These SIDs are used to detect changes to the Earth's ionosphere caused by solar flares and other ionospheric disturbances. In 2009, through collaboration between the Institute of Space Science (ANGKASA), UKM (currently known as Space Science Centre) and Stanford University, U.S., research in remote sensing using Very Low Frequency (VLF) receiver was initiated at UKM using the AWESOME monitor. Later, when the International Space Weather Initiative (ISWI) was established with the main aim of focusing on space weather research, UKM was provided with a set of low cost version of the AWESOME monitor called Super Sudden Ionospheric Disturbance (SuperSID) ionospheric monitor which was designed for high school. In 2012, UKM researchers succeeded in building their own VLF receiver system known as UKM-SID.

The UKM-SID system that include a teaching module was developed for the SID Introductory Project aimed to promote awareness and better understanding of space weather among high school students in Malaysia, in addition to cultivating studentsí interest in research through hands-on activities and usage of the UKM-SID ionospheric monitor.

For more details please see this pdf: link to document

Prof. Ir. Dr. Mardina Abdullah
Head Space Science Centre (ANGKASA)
Institute of Climate Change
Level 3, Research Complex
Universiti Kebangsaan Malaysia

43600 UKM Bangi, MALAYSIA
Tel: +603-89118032/8033

E-mail: mardina[at]

(Sent in by Mardina Abdullah)

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(1) Mardina Abdullah, et al. Ionospheric flare detection using Raspberry Pi 456 KB pdf, 5 pages
(click link to document)

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