BetaBit: A fast generator of autocorrelated binary processes for geophysical research
We introduce a fast and efficient non-iterative algorithm, called BetaBit, to simulate autocorrelated binary processes describing the occurrence of natural hazards, system failures, and other physical and geophysical phenomena characterized by persistence, temporal clustering, and low rate of occurr...
Main Authors: | , |
---|---|
Format: | Article in Journal/Newspaper |
Language: | unknown |
Published: |
IOP Publishing
|
Subjects: | |
Online Access: | https://eprint.ncl.ac.uk/fulltext.aspx?url=239007/EAB32258-1B89-4465-AF4D-1A38C87796B0.pdf&pub_id=239007 |
id |
ftunivnewcastle:oai:eprint.ncl.ac.uk:239007 |
---|---|
record_format |
openpolar |
spelling |
ftunivnewcastle:oai:eprint.ncl.ac.uk:239007 2023-05-15T17:32:45+02:00 BetaBit: A fast generator of autocorrelated binary processes for geophysical research Serinaldi F Lombardo F application/pdf https://eprint.ncl.ac.uk/fulltext.aspx?url=239007/EAB32258-1B89-4465-AF4D-1A38C87796B0.pdf&pub_id=239007 unknown IOP Publishing EPL (Europhysics Letters) Article ftunivnewcastle 2020-06-11T23:37:21Z We introduce a fast and efficient non-iterative algorithm, called BetaBit, to simulate autocorrelated binary processes describing the occurrence of natural hazards, system failures, and other physical and geophysical phenomena characterized by persistence, temporal clustering, and low rate of occurrence. BetaBit overcomes the simulation constraints posed by the discrete nature of the marginal distributions of binary processes by using the link existing between the correlation coefficients of this process and those of the standard Gaussian processes. The performance of BetaBit is tested on binary signals with power-law and exponentially decaying autocorrelation functions (ACFs) corresponding to Hurst-Kolmogorov and Markov processes. An application to real world sequences describing rainfall intermittency and the occurrence of strong positive phases of the North Atlantic Oscillation (NAO) index shows that BetaBit can also simulate surrogate data preserving the empirical ACF as well as signals with autoregressive moving average (ARMA) dependence structures. Extensions to cyclo-stationary processes accounting for seasonal fluctuations are also discussed. Article in Journal/Newspaper North Atlantic North Atlantic oscillation Newcastle University Library ePrints Service |
institution |
Open Polar |
collection |
Newcastle University Library ePrints Service |
op_collection_id |
ftunivnewcastle |
language |
unknown |
description |
We introduce a fast and efficient non-iterative algorithm, called BetaBit, to simulate autocorrelated binary processes describing the occurrence of natural hazards, system failures, and other physical and geophysical phenomena characterized by persistence, temporal clustering, and low rate of occurrence. BetaBit overcomes the simulation constraints posed by the discrete nature of the marginal distributions of binary processes by using the link existing between the correlation coefficients of this process and those of the standard Gaussian processes. The performance of BetaBit is tested on binary signals with power-law and exponentially decaying autocorrelation functions (ACFs) corresponding to Hurst-Kolmogorov and Markov processes. An application to real world sequences describing rainfall intermittency and the occurrence of strong positive phases of the North Atlantic Oscillation (NAO) index shows that BetaBit can also simulate surrogate data preserving the empirical ACF as well as signals with autoregressive moving average (ARMA) dependence structures. Extensions to cyclo-stationary processes accounting for seasonal fluctuations are also discussed. |
format |
Article in Journal/Newspaper |
author |
Serinaldi F Lombardo F |
spellingShingle |
Serinaldi F Lombardo F BetaBit: A fast generator of autocorrelated binary processes for geophysical research |
author_facet |
Serinaldi F Lombardo F |
author_sort |
Serinaldi F |
title |
BetaBit: A fast generator of autocorrelated binary processes for geophysical research |
title_short |
BetaBit: A fast generator of autocorrelated binary processes for geophysical research |
title_full |
BetaBit: A fast generator of autocorrelated binary processes for geophysical research |
title_fullStr |
BetaBit: A fast generator of autocorrelated binary processes for geophysical research |
title_full_unstemmed |
BetaBit: A fast generator of autocorrelated binary processes for geophysical research |
title_sort |
betabit: a fast generator of autocorrelated binary processes for geophysical research |
publisher |
IOP Publishing |
url |
https://eprint.ncl.ac.uk/fulltext.aspx?url=239007/EAB32258-1B89-4465-AF4D-1A38C87796B0.pdf&pub_id=239007 |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
op_source |
EPL (Europhysics Letters) |
_version_ |
1766131012621828096 |