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Evaluation of CME Arrival Prediction Using Ensemble Modeling Based on Heliospheric Imaging Observations
- Source :
- Space Weather
- Publication Year :
- 2021
- Publisher :
- American Geophysical Union (AGU), 2021.
-
Abstract
- In this study, we evaluate a coronal mass ejection (CME) arrival prediction tool that utilizes the wide‐angle observations made by STEREO's heliospheric imagers (HI). The unsurpassable advantage of these imagers is the possibility to observe the evolution and propagation of a CME from close to the Sun out to 1 AU and beyond. We believe that by exploiting this capability, instead of relying on coronagraph observations only, it is possible to improve today's CME arrival time predictions. The ELlipse Evolution model based on HI observations (ELEvoHI) assumes that the CME frontal shape within the ecliptic plane is an ellipse and allows the CME to adjust to the ambient solar wind speed; that is, it is drag based. ELEvoHI is used to perform ensemble simulations by varying the CME frontal shape within given boundary conditions that are consistent with the observations made by HI. In this work, we evaluate different setups of the model by performing hindcasts for 15 well‐defined isolated CMEs that occurred when STEREO was near L4/5, between the end of 2008 and the beginning of 2011. In this way, we find a mean absolute error of between 6.2 ± 7.9 and 9.9 ± 13 hr depending on the model setup used. ELEvoHI is specified for using data from future space weather missions carrying HIs located at L5 or L1. It can also be used with near‐real‐time STEREO‐A HI beacon data to provide CME arrival predictions during the next ∼7 years when STEREO‐A is observing the Sun‐Earth space.<br />Key Points CME prediction tool ELEvoHI is ready to be used in real time, based on STEREO‐A/HI beacon dataDifferent model setups and inputs lead to large differences of the prediction accuraciesAccurate modeling of the ambient solar wind is of particular importance to improve CME predictions
- Subjects :
- Atmospheric Science
Informatics
010504 meteorology & atmospheric sciences
Space weather
01 natural sciences
law.invention
Physics - Space Physics
law
Coronal mass ejection
Modeling and Forecasting
010303 astronomy & astrophysics
Coronagraph
Seismology
Earthquake Interaction, Forecasting, and Prediction
Research Articles
Physics
Ocean Predictability and Prediction
Geodesy
Oceanography: General
Solar wind
Astrophysics - Solar and Stellar Astrophysics
Drag
Estimation and Forecasting
Space Weather
Mathematical Geophysics
ensemble modeling
Coronal Mass Ejections
Probabilistic Forecasting
Research Article
space weather prediction
FOS: Physical sciences
coronal mass ejections
Ellipse
0103 physical sciences
Magnetospheric Physics
Heliophysics and Space Weather Studies from the Sun‐Earth Lagrange Points
Ionosphere
Monitoring, Forecasting, Prediction
Solar and Stellar Astrophysics (astro-ph.SR)
0105 earth and related environmental sciences
Solar Physics, Astrophysics, and Astronomy
heliospheric imaging
Ensemble forecasting
Ecliptic
Magnetic Storms and Substorms
Space Physics (physics.space-ph)
Interplanetary Physics
13. Climate action
Hydrology
Prediction
Natural Hazards
Forecasting
Subjects
Details
- ISSN :
- 15427390
- Volume :
- 19
- Database :
- OpenAIRE
- Journal :
- Space Weather
- Accession number :
- edsair.doi.dedup.....66b983fc942cbdb94926cf155ae56826
- Full Text :
- https://doi.org/10.1029/2020sw002553