CEDAR email: Call for Contributions — Joint MLGEM CEDAR-GEM Sessions on AI Applications & Storm Challenge

[chu xiangning]

Dear Colleagues,

The Machine Learning-based Geospace Environment Modeling (MLGEM) group is
excited to announce  two joint sessions at the upcoming CEDAR-GEM Joint
Workshop. These sessions aim to bring together AI innovators and domain
experts across the heliophysics community, spanning the Sun, solar wind,
magnetosphere, ionosphere, thermosphere, mesosphere, and ground-based
observations.

Session 1: General Contributions Session

This session welcomes contributions demonstrating the use of AI and machine
learning in addressing a broad range of geospace and atmospheric science
challenges.

Session 2: Storm Challenge Session

This special session invites diverse AI/ML-based studies of heliophysics
systems—including, but not limited to, the Sun, solar wind, magnetosphere,
ionosphere, thermosphere, mesosphere, and ground-based systems— focused on
the following challenge storms:

   1.

   January 4, 2023 (Minimum Sym-H: -74 nT at 09:04 UT)
   2.

   May 6, 2023 (Minimum Sym-H: -108 nT at 05:11 UT)
   3.

   May 11, 2024 (Minimum Sym-H: -518 nT at 02:14 UT)

The goal is to examine storm impacts from a system-of-systems perspective,
identify gaps in current understanding and ML approaches, and explore
future improvements.  We encourage preliminary results and
works-in-progress. While comparisons with observations are appreciated,
they are not required for participation.

These sessions aim to foster interdisciplinary collaboration between the
GEM and CEDAR communities, share best practices, and discuss challenges and
opportunities in applying machine learning to geospace and atmospheric
modeling. We hope to generate lively discussions around the role of AI in
advancing our understanding of geospace dynamics.

Interested in Contributing?

Please register your talk at your earliest convenience using the link
below. The session schedule will be finalized around Jun 13.

→ https://forms.gle/4Lchd5NWDrgwFf4A7

We look forward to your participation and to engaging discussions on the
future of AI in Heliophysics!

Best regards,

Xiangning Chu, Gowtam Valluri, Matt Argall, Bashi Ferdousi, Hyunju Connor,
Asti Bhatt, and Bharat Kunduri
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