Verification of the NOAA Space Weather Prediction Center Solar Flare Forecast (1998–2024)

Abstract The NOAA Space Weather Prediction Center (SWPC) issues the official U.S. government forecast for M‐class and X‐class solar flares, yet the skill of these forecasts has never been comprehensively verified. In this study, we evaluate the SWPC probabilistic flare forecasts over a 26‐year period (1998–2024), comparing them to several zero‐cost and statistical baselines including persistence, climatology, Naive Bayes, and logistic regression. We find that the SWPC model does not outperform these baselines across key classification and probabilistic metrics and exhibits severe calibration issues and high false alarm rates, especially in high‐stakes scenarios such as detecting the first flare after extended quiet periods. These findings demonstrate the need for more accurate and reliable eruption forecasting models which we suggest should be based on modern data‐driven methods. The findings also provide a standard against which any proposed eruption prediction system should be compared. We suggest that space weather forecasters regularly update and publish analyses like the one demonstrated here to provide up‐to‐date standards of accuracy and reliability against which to compare new methods.

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Publication Details

Journal
Space Weather
Published
2025-10-01
DOI
https://doi.org/10.1029/2025sw004546
Citations
2
Primary Topic
Solar and Space Plasma Dynamics
Type
article
Field-Weighted Citation Impact
2.31

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article

Verification of the NOAA Space Weather Prediction Center Solar Flare Forecast (1998–2024)

Enrico Camporeale, Thomas Berger
2 citations
Space Weather
Solar and Space Plasma Dynamics
2.31
article

Verification of the NOAA Space Weather Prediction Center Solar Flare Forecast (1998–2024)

Enrico Camporeale, Thomas Berger
article en
2 citations

Abstract

Abstract The NOAA Space Weather Prediction Center (SWPC) issues the official U.S. government forecast for M‐class and X‐class solar flares, yet the skill of these forecasts has never been comprehensively verified. In this study, we evaluate the SWPC probabilistic flare forecasts over a 26‐year period (1998–2024), comparing them to several zero‐cost and statistical baselines including persistence, climatology, Naive Bayes, and logistic regression. We find that the SWPC model does not outperform these baselines across key classification and probabilistic metrics and exhibits severe calibration issues and high false alarm rates, especially in high‐stakes scenarios such as detecting the first flare after extended quiet periods. These findings demonstrate the need for more accurate and reliable eruption forecasting models which we suggest should be based on modern data‐driven methods. The findings also provide a standard against which any proposed eruption prediction system should be compared. We suggest that space weather forecasters regularly update and publish analyses like the one demonstrated here to provide up‐to‐date standards of accuracy and reliability against which to compare new methods.

Space WeatherVol. 23(10)
NSF National Center for Atmospheric Research (US), NSF NCAR High Altitude Observatory (US), Queen Mary University of London (GB), Laboratory for Atmospheric and Space Physics (US)
National Aeronautics and Space Administration, Nuclear Safety and Security Commission, Ministry of Defense, National Oceanic and Atmospheric Administration
Openalex Percentile: Top 10%
Solar and Space Plasma Dynamics
2.31
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Verification of the NOAA Space Weather Prediction Center Solar Flare Forecast (1998–2024) — Enrico Camporeale, Thomas Berger · Space Weather (2025) | TGRS Research Map | TGRS