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Dear Colleagues.

We would like to invite you to submit a contributed abstract for our exciting upcoming AOGS 2015 session in Singapore, 02 to 07 August 2015 - ST07: "Space Weather Forecasting: the Science and Operations".

The full session description is given below and the Conference WebPages can be found here: http://www.asiaoceania.org/aogs2015/.

The full abstract-submission details are given here: http://www.asiaoceania.org/aogs2015/public.asp?page=abstract.htm; but please note that the AOGS Conference Fee only covers two abstracts - any more would require additional fees.  The abstract-submission deadline is 18 February 2015.

Please submit early so as not to have any last-minute submission problems...

Apologies if you receive multiple instances of this E-Mail.

Many thanks and best wishes,

Mario (on behalf of the ST07 Convenors: Mario Bisi, Catherine Burnett, Terry Onsager, and Dave Webb).

Dr. Mario M. Bisi (RAL Space)
ST-H Secretary and Candidate for ST President (2017-2018)


ST07: "Space Weather Forecasting: the Science and Operations"

Various industries and aspects of human society have become highly reliant on modern technologies and regular, uninterrupted energy supplies, many of which are at risk from extreme space weather. Such industries and our technologies can also be impacted to a lesser degree by the 'everyday' space weather that often occurs at the Earth during moderate-to-intense geomagnetic storms. Such industries include the power grids, airlines, telecommunications, GNSS, etc...

The intent of this session is to try to ascertain the current global space-weather forecasting capability and to look at where improvements/additional services are needed to better forecast and predict potential space weather from its onset at the Sun to its potential effects on and around the Earth (and indeed elsewhere in the solar system).

This session solicits contributions based around the ongoing development of space-weather forecasting services, the provision of observation data to support them, and the pull through of scientific models into operational use. In addition, contributions that highlight the data/model gaps and that identify the steps needed to further improve or keep existing space-weather forecasting services viable, are also highly welcomed.


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