CEDAR email: URSI AT-RASC 2024 Commission G08: "Advances in Incoherent Scatter Radars"

[Lindsay Goodwin]

Hello All,

We are currently seeking abstract submissions for the “Advances in
Incoherent Scatter Radars” session at the upcoming 2024 URSI Atlantic Radio
Science Meeting (URSI AT-RASC 2024, https://www.atrasc.com) taking place in
Gran Canaria from May 19-24, 2024. The session description can be found
below.

The deadline for abstract submission is *January 20, 2024*. To submit an
abstract, please visit:
https://www.eventure-online.com/eventure/login.form?A366e99a4-33f8-4841-9ec7-6fb8257a111f.
For information on convened sessions for Commission G: Ionospheric Radio
and Propagation, please visit:
https://cloud.ilabt.imec.be/index.php/s/jfbEozj5yXRrcXm.

Sincerely,

Lindsay V Goodwin and Gareth W Perry



*Session G08: *“Advances in Incoherent Scatter Radars”

Ionosphere modelling and forecasting are paramount objectives of research
in the field. In this
framework, several considerable milestones were reached both through
Physics-based models and
empirical-climatological studies. Our session will bring together novel
concepts for modelling and forecasting the ionosphere, both data-driven and
physics-based, with underlying machine learning (ML) and complex dynamical
systems methodologies to trigger their fruitful cross-fertilization. The ML
approach is recognized to be at the present cutting edge of numerical and
big data analysis tools, gleaning a deep understanding of otherwise hidden
system behavior from historical records. On the other hand, recognizing the
ionosphere as a complex dynamical system structured on many time- and
space-scales, intrinsically nonlinear and statistically treated, paves the
way to paradigm changes in its dynamical theory. Both approaches can offer
superior forecasting capabilities to explore in cooperation. This session
is intended to be open to papers that consider new approaches stemming from
the foregoing considerations.
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