Forecasting GOES 15 >2 MeV electron fluxes from solar wind data and geomagnetic indices

Forsyth, C.; Watt, C.E.J.; Mooney, M.K.; Rae, I.J.; Walton, S.D.; Horne, R.B. ORCID: https://orcid.org/0000-0002-0412-6407. 2020 Forecasting GOES 15 >2 MeV electron fluxes from solar wind data and geomagnetic indices. Space Weather, 18 (8), e2019SW002416. 19, pp. https://doi.org/10.1029/2019SW002416

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Abstract/Summary

The flux of > 2 MeV electrons at geosynchronous orbit is used by space weather forecasters as a key indicator of enhanced risk of damage to spacecraft in low, medium or geosynchronous Earth orbits. We present a methodology that uses the amount of time a single input dataset (solar wind data or geomagnetic indices) exceeds a given threshold to produce deterministic and probabilistic forecasts of the > 2 MeV flux at GEO exceeding 1000 or 10000 cm‐2 s‐1 sr‐1 within up to 10 days. By comparing our forecasts with measured fluxes from GOES 15 between 2014 and 2016, we determine the optimum forecast thresholds for deterministic and probabilistic forecasts by maximising the ROC and Brier Skill Scores respectively. The training dataset gives peak ROC scores of 0.71 to 0.87 and peak Brier Skill Scores of ‐0.03 to 0.32. Forecasts from AL give the highest skill scores for forecasts of up to 6‐days. AL, solar wind pressure or SYM‐H give the highest skill scores over 7‐10 days. Hit rates range over 56‐89% with false alarm rates of 11‐53%. Applied to 2012, 2013 and 2017, our best forecasts have hit rates of 56‐83% and false alarm rates of 10‐20%. Further tuning of the forecasts may improve these. Our hit rates are comparable to those from operational fluence forecasts, that incorporate fluence measurements, but our false alarm rates are higher. This proof‐of‐concept shows that the geosynchronous electron flux can be forecast with a degree of success without incorporating a persistence element into the forecasts.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1029/2019SW002416
ISSN:	15427390
Additional Keywords:	radiation belt, geosynchronous orbit, space radiation, forecasts, probabilistic, deterministic
Date made live:	11 Jun 2020 10:11 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/527937

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