Automated detection of coronaL MAss ejecta origiNs for space weather AppliCations (ALMANAC)

Abstract

Alerts of potentially hazardous coronal mass ejections (CME) are based on the detection of rapid changes in remote observations of the solar atmosphere. This paper presents a method that detects and estimates the central coordinates of CME eruptions in Extreme Ultraviolet (EUV) data, with the dual aim of providing an early alert, and giving an initial estimate of the CME direction of propagation to a CME geometrical model. In particular, we plan to link the ALMANAC method to the CME detection and characterisation module of the Space Weather Empirical Ensemble Package (SWEEP), which is a fully automated modular software package for operational space weather capability currently being developed for the UK Meteorological Office. In this work, ALMANAC is applied to observations by the Atmospheric Imaging Assembly (AIA) aboard the Solar Dynamics Observatory (SDO). As well as presenting the method, a proof of concept test is made on a limited set of data associated with twenty halo CMEs recorded by the Coordinated Data Analysis Workshop (CDAW) catalogue near the activity maximum of solar cycle 24. SDO/AIA data for each event is processed at 6 minute cadence to identify the on-disk location and time of each CME. The absolute mean deviance between the ALMANAC and CDAW source event coordinates are within 37.05 +- 29.71 minutes and 11.01 +- 10.39 degrees. These promising results give a solid foundation for future work, and will provide initial constraints to an automated CME alert and forecasting system.

References in corpus (14)

• Global Trends of CME Deflections Based on CME and Solar Parameters
• Solar Magnetic Feature Detection and Tracking for Space Weather Monitoring
• Automatic Detection and Tracking of CMEs II: Multiscale Filtering of Coronagraph Data
• Predicting Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and Recurrent Neural Networks
• CorPITA: An Automated Algorithm for the Identification and Analysis of Coronal "EIT Waves"
• Improving solar wind forecasting using Data Assimilation
• Solar origins of a strong stealth CME detected by Solar Orbiter
• Connecting 3D evolution of Coronal Mass Ejections to their Source Regions
• An Observationally Constrained Analytical Model for Predicting the Magnetic Field Vectors of ICMEs at 1 AU
• Automated detection of coronal mass ejections in three-dimensions using multi-viewpoint observations
• On the Variation of Volumetric Evolution of CMEs from Inner to Outer Corona
• Automated Detection of Accelerating Solar Eruptions using Parabolic Hough Transform
• Quantifying the uncertainty in CME kinematics derived from geometric modelling of Heliospheric Imager data
• Multi-Stranded Coronal Loops: Quantifying Strand Number and Heating Frequency from Simulated Solar Dynamics Observatory (SDO) Atmospheric Imaging Assembly (AIA) Observations