Three-day Forecasting of Solar Wind Speed Using SDO/AIA Extreme-ultraviolet Images by a Deep-learning Model
In this study, we forecast solar wind speed for the next 3 days with a 6 hr cadence using a deep-learning model. For this we use Solar Dynamics Observatory/Atmospheric Imaging Assembly 211 and 193 Å images together with solar wind speeds for the last 5 days as input data. The total period of the dat...
Main Authors: | Jihyeon Son, Suk-Kyung Sung, Yong-Jae Moon, Harim Lee, Hyun-Jin Jeong |
---|---|
Format: | Article |
Language: | English |
Published: |
IOP Publishing
2023-01-01
|
Series: | The Astrophysical Journal Supplement Series |
Subjects: | |
Online Access: | https://doi.org/10.3847/1538-4365/ace59a |
Similar Items
-
Recurrently Propagating Intensity Disturbances along Polar Plumes Observed in White Light and Extreme Ultraviolet
by: Il-Hyun Cho, et al.
Published: (2024-01-01) -
Damping time of transverse kink oscillations in active region coronal loops observed by AIA/SDO
by: Abbas Abedini
Published: (2017-05-01) -
Improvements on coronal hole detection in SDO/AIA images using supervised classification
by: Reiss Martin A., et al.
Published: (2015-01-01) -
Damping length of slow magneto-acoustic waves in the coronal loops observed by SDO
by: A Abedini, et al.
Published: (2016-02-01) -
The presence of a systematic error in SDO/HMI data
by: Rudenko G.V., et al.
Published: (2018-06-01)