Linear and non-linear autoregression methods applied to the hourly cosmic ray records. I - Forbush decreases

Details Linear and non-linear autoregression methods applied to the hourly cosmic ray records. I - Forbush decreases Linear and non-linear autoregression methods applied to the hourly cosmic ray records. I - Forbush decreases

Dec 1990

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1990angeo...8..799p&link_type=abstract

Annales Geophysicae (ISSN 0992-7689), vol. 8, Dec. 1990, p. 799-808.

Physics

Autoregressive Processes, Forbush Decreases, Galactic Cosmic Rays, Radiant Flux Density, Earth Surface, Nucleons, Radiation Counters

Scientific paper

The application of autoregressive methods to temporal variations of the cosmic ray nucleonic component is presented. The set of hourly data, registered in Rome during the period 1977-1982 was examined. The results obtained by the analysis of the two Forbush decreases of February 14, 1978 and of July 10, 1982 are discussed applying both a linear and nonlinear model. During such nonstationary phenomena, a fairly good reconstruction of cosmic-ray intensity has been provided with the nonlinear method. In particular, it is found that, without the aid of external physical parameters, the decrease amplitude and the recovery phase has been well reconstructed, while the beginning of the events has not been predicted.

Affiliated with

Also associated with

No associations

Rating

Linear and non-linear autoregression methods applied to the hourly cosmic ray records. I - Forbush decreases does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Linear and non-linear autoregression methods applied to the hourly cosmic ray records. I - Forbush decreases, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Linear and non-linear autoregression methods applied to the hourly cosmic ray records. I - Forbush decreases will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1629213