Forecasting Heliospheric CME Solar-Wind Parameters Using the UCSD Time-Dependent Tomography and ISEE Interplanetary...

Area of Science:

• Space Physics
• Heliophysics
• Plasma Physics

Background:

• Interplanetary scintillation (IPS) data provides valuable insights into solar wind parameters.
• The Institute for Space-Earth Environmental Research (ISEE), Japan, collects IPS data for inner heliosphere analysis.
• Understanding solar wind dynamics is crucial for space weather forecasting.

Purpose of the Study:

• To present a 3D analysis technique for IPS data to forecast solar wind parameters.
• To validate the technique by analyzing a specific coronal mass ejection (CME) event.
• To demonstrate the capability of IPS data to track CMEs across the inner heliosphere.

Main Methods:

• Utilizing remotely sensed IPS data from ISEE, Japan.
• Applying a 3D analysis technique to forecast plasma velocity, density, and magnetic fields.
• Corroborating IPS analysis with in-situ measurements from spacecraft like Solar Orbiter and BepiColombo.

Main Results:

• The 3D IPS analysis technique successfully forecasted solar wind parameters.
• A CME event on March 10, 2022, was observed using both IPS data and multiple spacecraft.
• Spacecraft measurements confirmed the CME's morphology and arrival at different heliocentric distances.

Conclusions:

• IPS data analysis is a powerful tool for understanding and forecasting solar wind conditions.
• The presented technique offers a reliable method for tracking CMEs and other solar events.
• Future IPS analyses can significantly enhance our comprehension of inner heliospheric phenomena.