IMF Bz Scoreboard

The "IMF Bz Scoreboard" is led by Peter Riley (Predictive Science) and Matthew Owens (University of Reading). It is currently in planning phase and will be designed as an automated system to gather real-time interplanetary magnetic field (IMF) forecasts at L1 and evaluate their accuracy. The scoreboard will provide international scientists and forecasters with a single location where the community can test a variety of models that span the full spectrum of models from fully operational to basic research ideas in a real-time environment.

IMF Bz Scoreboard planning group:
Leads: Pete Riley (Predictive Science), Matthew Owens (University of Reading)
CCMC Facilitator: Leila Mays (NASA/GSFC)
Previous leads: Neel Savani (UMBC/NASA GSFC)

Please email Pete Riley, Matthew Owens, or Leila Mays to get involved.

Latest News

April 2017: The IMF Bz scoreboard is part of the IMF Bz Working Team in the Community-wide International Forum for Space Weather Modeling Capabilities Assessment.
The first working group report prior to the workshop can be seen here.
Summary of the findings and discussions from the Florida meeting can be seen here.

Models

The models below are involved in assessing the appropriate strategy for skill evaluations. They are each at different stages of development:

Data driven
Bz4Cast model (N. Savani)
Helicity-CME (H-CME) model (Patsourakos, Georgoulis)
A. Rouillard model
PSI Pattern Recognition model (Riley et al. 2016; real-time forecast page; source code)

Numerical simulation
SUSANOO (D. Shiota)
EUHFORIA (J. Pomoell, S. Poedts)
EEGGL+SWMF AWSoM_R (Igor Sokolov, Bart van der Holst, Meng Jin (now at Lockheed Martin), Ward Manchester, Gabor Toth and Tamas Gombosi)