Literature DB >> 11543129

SEC proton prediction model: verification and analysis.

C C Balch1.   

Abstract

This paper describes a model that has been used at the NOAA Space Environment Center since the early 1970s as a guide for the prediction of solar energetic particle events. The algorithms for proton event probability, peak flux, and rise time are described. The predictions are compared with observations. The current model shows some ability to distinguish between proton event associated flares and flares that are not associated with proton events. The comparisons of predicted and observed peak flux show considerable scatter, with an rms error of almost an order of magnitude. Rise time comparisons also show scatter, with an rms error of approximately 28 h. The model algorithms are analyzed using historical data and improvements are suggested. Implementation of the algorithm modifications reduces the rms error in the log10 of the flux prediction by 21%, and the rise time rms error by 31%. Improvements are also realized in the probability prediction by deriving the conditional climatology for proton event occurrence given flare characteristics.

Mesh:

Substances:

Year:  1999        PMID: 11543129     DOI: 10.1016/s1350-4487(99)00052-9

Source DB:  PubMed          Journal:  Radiat Meas        ISSN: 1350-4487            Impact factor:   1.898


  2 in total

1.  Solar energetic particles in the inner heliosphere: status and open questions.

Authors:  Anastasios Anastasiadis; David Lario; Athanasios Papaioannou; Athanasios Kouloumvakos; Angelos Vourlidas
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2019-07-01       Impact factor: 4.226

2.  Solar Energetic Particle Forecasting Algorithms and Associated False Alarms.

Authors:  B Swalwell; S Dalla; R W Walsh
Journal:  Sol Phys       Date:  2017-11-10       Impact factor: 2.671

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.