GENETIC ALGORITHMS: TOWARDS THEIR USE IN THE HOMOGENIZATION OF CLIMATOLOGICAL RECORDS
Item
Title (Dublin Core)
eng
GENETIC ALGORITHMS: TOWARDS THEIR USE IN THE HOMOGENIZATION OF CLIMATOLOGICAL RECORDS
Description (Dublin Core)
eng
The prerequisite of the homogenization of climatological time series is to find the points of time where the series underwent abrupt shifts in the climate variable. Since normally no information about the (potentially large) number of such shifts is available beforehand, this is a highly challenging optimization problem for the resolution of which a genetic algorithm approach was proposed. In the present paper, important steps towards its applicability to real
climatological data are made. An outlier test is incorporated in the genetic algorithm framework. Another typical climatological component that can be fully integrated into the genetic algorithm scheme is the exploitation of metadata containing information about a station’s history. In a conceptually similar manner, the simultaneous investigation of several, possibly interrelated, time series is made feasible.
The advantages of online analysis, where the change-point detection is carried out not only for the entire n-element series but also for the partial series of its first n-1, n-2, … elements, are discussed. Such supplementary analyses can regularly be crucial when change-point signals are detected in the analyses of partial series while random noise accidentally obscures these signals in the full series.
climatological data are made. An outlier test is incorporated in the genetic algorithm framework. Another typical climatological component that can be fully integrated into the genetic algorithm scheme is the exploitation of metadata containing information about a station’s history. In a conceptually similar manner, the simultaneous investigation of several, possibly interrelated, time series is made feasible.
The advantages of online analysis, where the change-point detection is carried out not only for the entire n-element series but also for the partial series of its first n-1, n-2, … elements, are discussed. Such supplementary analyses can regularly be crucial when change-point signals are detected in the analyses of partial series while random noise accidentally obscures these signals in the full series.
Creator (Dublin Core)
Jann, Alexander
Subject (Dublin Core)
eng
Climatological data processing;time series analysis;homogenization; genetic algorithm
Publisher (Dublin Core)
Croatian meteorological society
Date (Dublin Core)
2006
Type (Dublin Core)
text
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Format (Dublin Core)
application/pdf
Identifier (Dublin Core)
https://hrcak.srce.hr/64346
eng
https://hrcak.srce.hr/file/96477
Source (Dublin Core)
Hrvatski meteorološki časopis
ISSN 1330-0083 (Print)
ISSN 1849-0700 (Online)
Volume 41
Issue 41
Language (Dublin Core)
eng
Rights (Dublin Core)
info:eu-repo/semantics/openAccess
The papers of this Journal are free of charge for personal or educational use, with respect of copyright of authors and publisher.