Solar Cycle Dependence of NOAA Space Weather Scale Frequencies

Daeil Kim, Yong Jae Moon, Hyun Jin Jeong, Jihyeon Son

Research output: Contribution to journalArticlepeer-review

Abstract

In this study, we examine the relationships between the National Oceanic and Atmospheric Administration (NOAA) space weather scale frequencies and the maximum monthly sunspot number in each solar cycle: 1975 to 2020 for radio blackouts (R scales) and solar radiation storms (S scales), 1932 to 2020 for geomagnetic storms (G scales). Our main results are as follows. First, we find that NOAA space weather scale frequencies have strong solar cycle dependencies. Second, we propose new linear relationships between the frequency of certain scales (R1 to R4, and G1 to G4) and the maximum monthly sunspot number. T-test results show that R1 to R3 and G1 to G4 relationships are statistically meaningful, but marginal for R4. Third, our results significantly reduce the root-mean-square error (RMSE) between observed and suggested frequencies compared to the NOAA’s current frequencies. For example, in the case of solar cycle 24, our new prediction (74) for R3 scale is much more consistent with the observational frequency (74) than the NOAA prediction (175), and our prediction (85) for G3 scale is much closer to the observation (40) than the NOAA prediction (200). Our work may provide a useful guideline for advancing the space weather scales.

Original languageEnglish
Pages (from-to)55-61
Number of pages7
JournalJournal of the Korean Astronomical Society
Volume58
Issue number1
DOIs
Publication statusPublished - Jan 2025

Bibliographical note

Publisher Copyright:
© Published under Creative Commons.

Keywords

  • methods: data analysis
  • methods: statistical
  • Sun: solar-terrestrial relations

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