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Comparative analysis of NOAA REFM and SNB3GEO tools for the forecast of the fluxes of high-energy electrons at GEO.
Balikhin, M A; Rodriguez, J V; Boynton, R J; Walker, S N; Aryan, H; Sibeck, D G; Billings, S A.
Afiliação
  • Balikhin MA; ACSE University of Sheffield Sheffield UK.
  • Rodriguez JV; Cooperative Institute for Research in Environmental Sciences University of Colorado Boulder Boulder Colorado USA; National Centers for Environmental Information National Oceanic and Atmospheric Administration Boulder Colorado USA.
  • Boynton RJ; ACSE University of Sheffield Sheffield UK.
  • Walker SN; ACSE University of Sheffield Sheffield UK.
  • Aryan H; GSFC NASA Greenbelt Maryland USA.
  • Sibeck DG; GSFC NASA Greenbelt Maryland USA.
  • Billings SA; ACSE University of Sheffield Sheffield UK.
Space Weather ; 14(1): 22-31, 2016 01.
Article em En | MEDLINE | ID: mdl-27642268
ABSTRACT
Reliable forecasts of relativistic electrons at geostationary orbit (GEO) are important for the mitigation of their hazardous effects on spacecraft at GEO. For a number of years the Space Weather Prediction Center at NOAA has provided advanced online forecasts of the fluence of electrons with energy >2 MeV at GEO using the Relativistic Electron Forecast Model (REFM). The REFM forecasts are based on real-time solar wind speed observations at L1. The high reliability of this forecasting tool serves as a benchmark for the assessment of other forecasting tools. Since 2012 the Sheffield SNB3GEO model has been operating online, providing a 24 h ahead forecast of the same fluxes. In addition to solar wind speed, the SNB3GEO forecasts use solar wind density and interplanetary magnetic field Bz observations at L1.The period of joint operation of both of these forecasts has been used to compare their accuracy. Daily averaged measurements of electron fluxes by GOES 13 have been used to estimate the prediction efficiency of both forecasting tools. To assess the reliability of both models to forecast infrequent events of very high fluxes, the Heidke skill score was employed. The results obtained indicate that SNB3GEO provides a more accurate 1 day ahead forecast when compared to REFM. It is shown that the correction methodology utilized by REFM potentially can improve the SNB3GEO forecast.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article