Computation of changes in explosive weather systems during 20th century

Stacey Lee Osbrough, Jorgen Frederiksen

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Abstract

We present a new computational technique for extracting growing weather modes of different frequencies and growth rates from instantaneous six hourly observed atmospheric data. The methodology is applied to examine the changes in the statistics of growing storms and extreme weather events between the mid and late 20th century. The structures of weather modes in different frequency and growth rate bands are determined from the leading (maximum variance) eigenvectors of the associated covariance matrices. A matrix stochastic model is also fitted to the data, with the associated leading eigenvectors related to the dynamical developments.
Original languageEnglish
Title of host publicationANZIAM Journal
Subtitle of host publicationProceedings of the 18th Computational Techniques and Applications Conference
EditorsJerome Droniou, Michael Page, Simon Clarke
Place of PublicationAustralia
PagesC137-C148
Number of pages12
Volume58
EditionCTAC2016
DOIs
Publication statusPublished - 2017
EventComputational Techniques and Applications Conference 2016 - Monash University, Melbourne, Australia
Duration: 27 Nov 201630 Nov 2016
Conference number: 18th

Publication series

NameANZIAM Journal
PublisherCambridge University Press
NumberCTAC2016
Volume58
ISSN (Print)1446-1811
ISSN (Electronic)1446-8735

Conference

ConferenceComputational Techniques and Applications Conference 2016
Abbreviated titleCTAC 2016
CountryAustralia
CityMelbourne
Period27/11/1630/11/16

Keywords

  • instability
  • stochastic models
  • filtering
  • atmospheric flows

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