Development of a coronal mass ejection arrival time forecasting system using interplanetary scintillation observations

TL;DR

This paper presents a new system combining MHD simulations and IPS observations to improve the prediction of coronal mass ejection arrival times at Earth, demonstrating promising accuracy improvements.

Contribution

The study introduces an integrated IPS estimation system using global MHD simulations to enhance CME arrival time forecasts.

Findings

Simulated IPS responses closely match actual observations.

The system accurately predicts CME arrival times in case studies.

Inclusion of IPS data improves forecast accuracy.

Abstract

Coronal mass ejections (CMEs) cause disturbances in the environment of the Earth when they arrive at the Earth. However, the prediction of the arrival of CMEs still remains a challenge. We have developed an interplanetary scintillation (IPS) estimation system based on a global magnetohydrodynamic (MHD) simulation of the inner heliosphere to predict the arrival time of CMEs. In this system, the initial speed of a CME is roughly derived from white light coronagraph observations. Then, the propagation of the CME is calculated by a global MHD simulation. The IPS response is estimated by the three-dimensional density distribution of the inner heliosphere derived from the MHD simulation. The simulated IPS response is compared with the actual IPS observations made by the Institute for Space-Earth Environmental Research, Nagoya University, and shows good agreement with that observed. We demonstrated how the simulation system works using a halo CME event generated by a X9.3 flare observed on September 5, 2017. We find that the CME simulation that best estimates the IPS observation can more accurately predict the time of arrival of the CME at the Earth. These results suggest that the accuracy of the CME arrival time can be improved if our current MHD simulations include IPS data.