CEDAR email: First 2023 ISWI WEBINAR SERIES announcement

[Maria Graciela Molina]

Dear Colleagues,

We are pleased to announce the first 2023 ISWI Seminar by *Dr Ivan
Galkin* scheduled
for *January 25th at 3 PM Central European Time (9 AM EDT; 6:30 PM IST)*.

To register for this virtual seminar, please send an email to:
*iswisupport at bc.edu
<iswisupport at bc.edu>.* Please include “ISWI Seminar Registration” in the
subject line. There is a limit of 300 participants, so please register your
interest as soon as possible. The MS Teams link will be sent to registered
participants 2 days before the event.

Seminars will be recorded. Please visit the youtube channel of the United
Nations Office for Outer Space Affairs where the recording of the seminars
from 2022 are available. The playlist which will also include future
sessions can be accessed through the following link:
https://youtube.com/playlist?list=PLaOqa4cng0GF3cKuj6Yz5kqG1BQ-Akkhr


With kind regards,
Graciela Molina
on behalf of the ISWI Seminar Committee


***********************************************
*Title:* Realistic Ionosphere (RION): data fusion project of GIRO and GNSS
*Speaker:* Dr Ivan Galkin
*Abstract:* RION is an ISWI project that involves 69 ionosonde
observatories in 32 countries with established agreements to share
real-time data for continuous monitoring of the ionosphere. The RION's
ionosonde network "GIRO" (Global Ionosphere Radio Observatory) has been in
coordinated operation since 2004. Its Lowell GIRO Data Center (LGDC)
operates nine online central data repositories and several data sharing and
dissemination services. In addition to the public ionosonde data provision,
LGDC operates assimilative real-time models of the ionosphere and
trans-ionospheric signal propagation that constitute RION. The models
include GAMBIT (Global Assimilative Modeling of Bottomside Ionosphere with
Topside extension) that interfaces one the International GNSS Service
centers in Olsztyn, Poland to build global maps of the effective
ionospheric slab thickness. Current state of art and prospective way
forward will be presented, including an upcoming Pan-European alert system
T-FORS for forecasting TID activity based on Deep Learning techniques.
***********************************************
[image: ISWI Seminar Series (2).png]

-------------------------------------------
*Dra. María Graciela Molina*
Professor FACET -UNT
Researcher CONICET
Associated researcher INGV

Av. Independencia 1800, Tucumán - Argentina
Tel: +54-381-4364093 (ext.7765)
gmolina at herrera.unt.edu.ar /
*m.graciela.molina at gmail.com* <m.graciela.molina at gmail.com>
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