The World's Largest Real Time Magnetometer Array: MAGDAS

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

[7524] Solar Physics, Astrophysics, And Astronomy / Magnetic Fields, [7599] Solar Physics, Astrophysics, And Astronomy / General Or Miscellaneous, [7924] Space Weather / Forecasting, [7954] Space Weather / Magnetic Storms

Scientific paper

This poster briefly out lines the current situation of the world's largest real time magnetometer array: MAGDAS. This array was conceived by Professor K. Yumoto of the Space Environment Research Center (SERC) based at Kyushu University in Japan. The first phase of MAGDAS deployment coincided with IHY (Years 2005-2009) and about 50 units were installed all over the world. The second phase of MAGDAS deployment is set to occur during ISWI (Intl. Space Weather Initiative, Years 2010-2012) using a new set of 50 magnetometers. MAGDAS stations are concentrated in three chains: (1) the 210 deg. MM chain through Asia, (2) the 96 deg. MM chain through Africa, and (3) the Dip Equator Chain. Data from MAGDAS is available to the scientific community but some conditions are attached to the data. We explain those conditions.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

The World's Largest Real Time Magnetometer Array: MAGDAS does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with The World's Largest Real Time Magnetometer Array: MAGDAS, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The World's Largest Real Time Magnetometer Array: MAGDAS will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1877497

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.