Flaring Rates and the Evolution of Sunspot Group McIntosh Classifications
Author:
Publisher
Springer Science and Business Media LLC
Subject
Space and Planetary Science,Astronomy and Astrophysics
Link
http://link.springer.com/content/pdf/10.1007/s11207-016-0933-y.pdf
Reference25 articles.
1. Bloomfield, D.S., Higgins, P.A., McAteer, R.T.J., Gallagher, P.T.: 2012, Toward reliable benchmarking of solar flare forecasting methods. Astrophys. J. Lett. 747, L41. DOI . ADS .
2. Bloomfield, D.S., Gallagher, P.T., Marquette, W.H., Milligan, R.O., Canfield, R.C.: 2016, Performance of major flare watches from the max millennium program (2001 – 2010). Solar Phys. 291, 411. DOI . ADS .
3. Bornmann, P.L., Shaw, D.: 1994, Flare rates and the McIntosh active-region classifications. Solar Phys. 150, 127. DOI . ADS .
4. Cortie, A.L.: 1901, On the types of sun-spot disturbances. Astrophys. J. 13, 260. DOI . ADS .
5. Crown, M.D.: 2012, Validation of the NOAA Space Weather Prediction Center’s solar flare forecasting look-up table and forecaster-issued probabilities. Space Weather 10, S06006. DOI . ADS .
Cited by 34 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Variation in the Flaring Potential of Different Sunspot Groups During Different Phases of Solar Cycles 23 and 24;Research in Astronomy and Astrophysics;2024-01-31
2. Evolutionary Relationship between Sunspot Groups and Soft X-Ray Flares over Solar Cycles 21–25;The Astrophysical Journal;2023-11-01
3. Exploring Deep Learning for Full-disk Solar Flare Prediction with Empirical Insights from Guided Grad-CAM Explanations;2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA);2023-10-09
4. Statistical Study of the Correlation between Solar Energetic Particles and Properties of Active Regions;The Astrophysical Journal;2023-07-27
5. Solar Flare Index Prediction Using SDO/HMI Vector Magnetic Data Products with Statistical and Machine-learning Methods;The Astrophysical Journal Supplement Series;2022-12-01
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3