Flare forecasting using the evolution of McIntosh sunspot classifications
J. Space Weather Space Clim., 8 (2018) A34
Published online: 2018-06-22
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
Solar flare rates and probabilities based on the McIntosh classification: Impacts of GOES/XRS rescaling and revisited sunspot classifications
Jan Janssens, Véronique Delouille, Frédéric Clette and Jesse AndriesJournal of Space Weather and Space Climate 15 14 (2025)
https://doi.org/10.1051/swsc/2025007
Research Progress in Solar Flare Prediction Methods
Ke Han, Zhen Liu, Xian-Yi Zhao, Yi-Fei Li, De-Quan Zheng and Jie WanResearch in Astronomy and Astrophysics 25 (3) 035025 (2025)
https://doi.org/10.1088/1674-4527/adbd9f
Deep Learning for Active Region Classification: A Systematic Study from Convolutional Neural Networks to Vision Transformers
Edoardo Legnaro, Sabrina Guastavino, Michele Piana and Anna Maria MassoneThe Astrophysical Journal 981 (2) 157 (2025)
https://doi.org/10.3847/1538-4357/adb41a
Space Weather Forecasts of Ground Level Space Weather in the UK: Evaluating Performance and Limitations
A. W. Smith, I. J. Rae, C. Forsyth, J. C. Coxon, M.‐T. Walach, C. J. Lao, D. S. Bloomfield, S. A. Reddy, M. K. Coughlan, A. Keesee and S. BentleySpace Weather 22 (11) (2024)
https://doi.org/10.1029/2024SW003973
Can Solar Limb Flare Prediction Be Properly Made by Extreme-ultraviolet Intensities?
Jaewon Lee, Yong-Jae Moon, Hyun-Jin Jeong, Kangwoo Yi and Harim LeeThe Astrophysical Journal Letters 971 (2) L47 (2024)
https://doi.org/10.3847/2041-8213/ad6b9b
Prediction of solar energetic events impacting space weather conditions
Manolis K. Georgoulis, Stephanie L. Yardley, Jordan A. Guerra, Sophie A. Murray, Azim Ahmadzadeh, Anastasios Anastasiadis, Rafal Angryk, Berkay Aydin, Dipankar Banerjee, Graham Barnes, Alessandro Bemporad, Federico Benvenuto, D. Shaun Bloomfield, Monica Bobra, Cristina Campi, Enrico Camporeale, Craig E. DeForest, A. Gordon Emslie, David Falconer, Li Feng, Weiqun Gan, Lucie M. Green, Sabrina Guastavino, Mike Hapgood, Dustin Kempton, et al.Advances in Space Research (2024)
https://doi.org/10.1016/j.asr.2024.02.030
The characteristics of flare- and CME-productive solar active regions
Ioannis KontogiannisAdvances in Space Research 71 (4) 2017 (2023)
https://doi.org/10.1016/j.asr.2022.10.008
SunSCC: Segmenting, Grouping and Classifying Sunspots From Ground‐Based Observations Using Deep Learning
Niels Sayez, Christophe De Vleeschouwer, Véronique Delouille, Sabrina Bechet and Laure LefèvreJournal of Geophysical Research: Space Physics 128 (12) (2023)
https://doi.org/10.1029/2023JA031548
Properties of Flare-imminent versus Flare-quiet Active Regions from the Chromosphere through the Corona. II. Nonparametric Discriminant Analysis Results from the NWRA Classification Infrastructure (NCI)
K. D. Leka, Karin Dissauer, Graham Barnes and Eric L. WagnerThe Astrophysical Journal 942 (2) 84 (2023)
https://doi.org/10.3847/1538-4357/ac9c04
Predicting Solar Flares Using CNN and LSTM on Two Solar Cycles of Active Region Data
Zeyu Sun, Monica G. Bobra, Xiantong Wang, Yu Wang, Hu Sun, Tamas Gombosi, Yang Chen and Alfred HeroThe Astrophysical Journal 931 (2) 163 (2022)
https://doi.org/10.3847/1538-4357/ac64a6
Solar Proton Events Short-time Forecasting Based on Ensemble Learning
Zhe GONG, Ziming ZOU and Yang LUChinese Journal of Space Science 42 (3) 340 (2022)
https://doi.org/10.11728/cjss2022.03.210310025
Two-Stage Solar Flare Forecasting Based on Convolutional Neural Networks
Jun Chen, Weifu Li, Shuxin Li, Hong Chen, Xuebin Zhao, Jiangtao Peng, Yanhong Chen and Hao DengSpace: Science & Technology 2022 (2022)
https://doi.org/10.34133/2022/9761567
M-Class Solar Flares in Solar Cycles 23 and 24: Properties and Space Weather Relevance
Rositsa Miteva and Susan W. SamwelUniverse 8 (1) 39 (2022)
https://doi.org/10.3390/universe8010039
Analysis of Flare Occurring Based on Sunspot Changing Patterns Using Zurich Method in February – April 2022 at the Astronomy Laboratory of Physics FMIPA State University of Malang
C I Yogihati, I A Shofi and H HeriyantoJournal of Physics: Conference Series 2377 (1) 012036 (2022)
https://doi.org/10.1088/1742-6596/2377/1/012036
Solar Flare Prediction Based on the Fusion of Multiple Deep-learning Models
Rongxin Tang, Wenti Liao, Zhou Chen, Xunwen Zeng, Jing-song Wang, Bingxian Luo, Yanhong Chen, Yanmei Cui, Meng Zhou, Xiaohua Deng, Haimeng Li, Kai Yuan, Sheng Hong and Zhiping WuThe Astrophysical Journal Supplement Series 257 (2) 50 (2021)
https://doi.org/10.3847/1538-4365/ac249e
How to Train Your Flare Prediction Model: Revisiting Robust Sampling of Rare Events
Azim Ahmadzadeh, Berkay Aydin, Manolis K. Georgoulis, Dustin J. Kempton, Sushant S. Mahajan and Rafal A. AngrykThe Astrophysical Journal Supplement Series 254 (2) 23 (2021)
https://doi.org/10.3847/1538-4365/abec88
Evaluating Pointing Strategies for Future Solar Flare Missions
Andrew R. Inglis, Jack Ireland, Albert Y. Shih and Steven D. ChristeSolar Physics 296 (10) (2021)
https://doi.org/10.1007/s11207-021-01896-0
Comparative case study of two methods to assess the eruptive potential of selected active regions
Francesca Zuccarello, Ilaria Ermolli, Marianna B. Korsós, et al.Research in Astronomy and Astrophysics 21 (12) 313 (2021)
https://doi.org/10.1088/1674-4527/21/12/313
Flare-forecasting Algorithms Based on High-gradient Polarity Inversion Lines in Active Regions
Domenico Cicogna, Francesco Berrilli, Daniele Calchetti, Dario Del Moro, Luca Giovannelli, Federico Benvenuto, Cristina Campi, Sabrina Guastavino and Michele PianaThe Astrophysical Journal 915 (1) 38 (2021)
https://doi.org/10.3847/1538-4357/abfafb
A Comparison of Flare Forecasting Methods. IV. Evaluating Consecutive-day Forecasting Patterns
Sung-Hong Park, K. D. Leka, Kanya Kusano, Jesse Andries, Graham Barnes, Suzy Bingham, D. Shaun Bloomfield, Aoife E. McCloskey, Veronique Delouille, David Falconer, Peter T. Gallagher, Manolis K. Georgoulis, Yuki Kubo, Kangjin Lee, Sangwoo Lee, Vasily Lobzin, JunChul Mun, Sophie A. Murray, Tarek A. M. Hamad Nageem, Rami Qahwaji, Michael Sharpe, R. A. Steenburgh, Graham Steward and Michael TerkildsenThe Astrophysical Journal 890 (2) 124 (2020)
https://doi.org/10.3847/1538-4357/ab65f0
Reliable Probability Forecast of Solar Flares: Deep Flare Net-Reliable (DeFN-R)
Naoto Nishizuka, Yuki Kubo, Komei Sugiura, Mitsue Den and Mamoru IshiiThe Astrophysical Journal 899 (2) 150 (2020)
https://doi.org/10.3847/1538-4357/aba2f2
Machine Learning as a Flaring Storm Warning Machine: Was a Warning Machine for the 2017 September Solar Flaring Storm Possible?
F. Benvenuto, C. Campi, A. M. Massone and M. PianaThe Astrophysical Journal Letters 904 (1) L7 (2020)
https://doi.org/10.3847/2041-8213/abc5b7
Multivariate time series dataset for space weather data analytics
Rafal A. Angryk, Petrus C. Martens, Berkay Aydin, et al.Scientific Data 7 (1) (2020)
https://doi.org/10.1038/s41597-020-0548-x
Prediction performance of Hidden Markov modelling for solar flares
A. Stanislavsky, W. Nitka, M. Małek, K. Burnecki and J. JanczuraJournal of Atmospheric and Solar-Terrestrial Physics 208 105407 (2020)
https://doi.org/10.1016/j.jastp.2020.105407
A framework for designing and evaluating solar flare forecasting systems
A E A da Silva, G P Coelho, A L S Gradvohl and T CintoMonthly Notices of the Royal Astronomical Society 495 (3) 3332 (2020)
https://doi.org/10.1093/mnras/staa1257
A Comparison of Flare Forecasting Methods. III. Systematic Behaviors of Operational Solar Flare Forecasting Systems
K. D. Leka, Sung-Hong Park, Kanya Kusano, Jesse Andries, Graham Barnes, Suzy Bingham, D. Shaun Bloomfield, Aoife E. McCloskey, Veronique Delouille, David Falconer, Peter T. Gallagher, Manolis K. Georgoulis, Yuki Kubo, Kangjin Lee, Sangwoo Lee, Vasily Lobzin, JunChul Mun, Sophie A. Murray, Tarek A. M. Hamad Nageem, Rami Qahwaji, Michael Sharpe, Robert A. Steenburgh, Graham Steward and Michael TerkildsenThe Astrophysical Journal 881 (2) 101 (2019)
https://doi.org/10.3847/1538-4357/ab2e11
A Comparison of Flare Forecasting Methods. II. Benchmarks, Metrics, and Performance Results for Operational Solar Flare Forecasting Systems
K. D. Leka, Sung-Hong Park, Kanya Kusano, Jesse Andries, Graham Barnes, Suzy Bingham, D. Shaun Bloomfield, Aoife E. McCloskey, Veronique Delouille, David Falconer, Peter T. Gallagher, Manolis K. Georgoulis, Yuki Kubo, Kangjin Lee, Sangwoo Lee, Vasily Lobzin, JunChul Mun, Sophie A. Murray, Tarek A. M. Hamad Nageem, Rami Qahwaji, Michael Sharpe, Robert A. Steenburgh, Graham Steward and Michael TerkildsenThe Astrophysical Journal Supplement Series 243 (2) 36 (2019)
https://doi.org/10.3847/1538-4365/ab2e12
4950 (2019)
https://doi.org/10.1109/BigData47090.2019.9006185
Ensemble Forecasting of Major Solar Flares with Short-, Mid-, and Long-term Active Region Properties
Daye Lim, Yong-Jae Moon, Eunsu Park, Jongyeob Park, Kangjin Lee, Jin-Yi Lee and Soojeong JangThe Astrophysical Journal 885 (1) 35 (2019)
https://doi.org/10.3847/1538-4357/ab45e7
A New Space Weather Tool for Identifying Eruptive Active Regions
Paolo Pagano, Duncan H. Mackay and Stephanie L. YardleyThe Astrophysical Journal 886 (2) 81 (2019)
https://doi.org/10.3847/1538-4357/ab4cf1
Time‐Window Approaches to Space‐Weather Forecast Metrics: A Solar Wind Case Study
Mathew J. OwensSpace Weather 16 (11) 1847 (2018)
https://doi.org/10.1029/2018SW002059