Computation of changes in explosive weather systems during the 20th century
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 th...
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ftaustralianmsoj:oai:journal.austms.org.au:article/11784 2023-05-15T17:36:15+02:00 Computation of changes in explosive weather systems during the 20th century Osbrough, Stacey Lee Fredericksen, Jorgen Segerlund 2017-11-27 application/pdf text/plain https://journal.austms.org.au/ojs/index.php/ANZIAMJ/article/view/11784 eng eng Australian Mathematical Society https://journal.austms.org.au/ojs/index.php/ANZIAMJ/article/view/11784/2057 https://journal.austms.org.au/ojs/index.php/ANZIAMJ/article/view/11784/2058 https://journal.austms.org.au/ojs/index.php/ANZIAMJ/article/view/11784 Copyright (c) 2017 AMPAI ANZIAM Journal; Vol. 58 (2016); C137--C148 1445-8810 instability stochastic models filtering atmospheric flows Fluid dynamics Hydrodynamic stability Stability and instability of geophysical and astrophysical flows info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer reviewed conference article 2017 ftaustralianmsoj 2022-02-28T12:00:55Z 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. References M. Baxter and R. G. King, Measuring business cycles: Approximate band-pass filters for economic time series. The Review of Economics and Statistics 81(4):575–593, 1999. doi:10.1162/003465399558454 J. S. Frederiksen and R. C. Bell, North Atlantic blocking during January 1979: Linear theory, Q. J. R. Meteorol. Soc. 116:1289–1313, 1990. doi:10.1002/qj.49711649603 J. S. Frederiksen and G. Branstator, Seasonal variability of teleconnection patterns. J. Atmos. Sci. 63:1346–1365, 2005. doi:10.1175/JAS3405.1 J. S. Frederiksen and C. S. Frederiksen, Interdecadal changes in southern hemisphere winter storm track modes. Tellus, A 59:599–617, 2007. doi:10.1111/j.1600-0870.2007.00264.x J. S. Frederiksen and C. S. Frederiksen, Role of dynamical modes in changing southern hemisphere climate. ANZIAM J. 52:C56–C72, 2011. doi:10.21914/anziamj.v52i0.3892 C. S. Frederiksen, J. S. Frederiksen, J. M. Sisson and S. L. Osbrough, Trends and projections of storm formation in coupled climate models. ANZIAM J. 56:C279–C295, 2014. doi:10.21914/anziamj.v56i0.9406 C. S. Frederiksen, J. S. Frederiksen, J. M. Sisson and S. L. Osbrough, Trends and projections of southern hemisphere baroclinicity: the role of external forcing and impact on Australian rainfall. Clim Dyn. 48:3261–3282, 2017. doi:10.1007/s00382-016-3263-8 Article in Journal/Newspaper North Atlantic Australian Mathematical Society (AustMS): E-Journals Baxter ENVELOPE(162.533,162.533,-74.367,-74.367) |
institution |
Open Polar |
collection |
Australian Mathematical Society (AustMS): E-Journals |
op_collection_id |
ftaustralianmsoj |
language |
English |
topic |
instability stochastic models filtering atmospheric flows Fluid dynamics Hydrodynamic stability Stability and instability of geophysical and astrophysical flows |
spellingShingle |
instability stochastic models filtering atmospheric flows Fluid dynamics Hydrodynamic stability Stability and instability of geophysical and astrophysical flows Osbrough, Stacey Lee Fredericksen, Jorgen Segerlund Computation of changes in explosive weather systems during the 20th century |
topic_facet |
instability stochastic models filtering atmospheric flows Fluid dynamics Hydrodynamic stability Stability and instability of geophysical and astrophysical flows |
description |
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. References M. Baxter and R. G. King, Measuring business cycles: Approximate band-pass filters for economic time series. The Review of Economics and Statistics 81(4):575–593, 1999. doi:10.1162/003465399558454 J. S. Frederiksen and R. C. Bell, North Atlantic blocking during January 1979: Linear theory, Q. J. R. Meteorol. Soc. 116:1289–1313, 1990. doi:10.1002/qj.49711649603 J. S. Frederiksen and G. Branstator, Seasonal variability of teleconnection patterns. J. Atmos. Sci. 63:1346–1365, 2005. doi:10.1175/JAS3405.1 J. S. Frederiksen and C. S. Frederiksen, Interdecadal changes in southern hemisphere winter storm track modes. Tellus, A 59:599–617, 2007. doi:10.1111/j.1600-0870.2007.00264.x J. S. Frederiksen and C. S. Frederiksen, Role of dynamical modes in changing southern hemisphere climate. ANZIAM J. 52:C56–C72, 2011. doi:10.21914/anziamj.v52i0.3892 C. S. Frederiksen, J. S. Frederiksen, J. M. Sisson and S. L. Osbrough, Trends and projections of storm formation in coupled climate models. ANZIAM J. 56:C279–C295, 2014. doi:10.21914/anziamj.v56i0.9406 C. S. Frederiksen, J. S. Frederiksen, J. M. Sisson and S. L. Osbrough, Trends and projections of southern hemisphere baroclinicity: the role of external forcing and impact on Australian rainfall. Clim Dyn. 48:3261–3282, 2017. doi:10.1007/s00382-016-3263-8 |
format |
Article in Journal/Newspaper |
author |
Osbrough, Stacey Lee Fredericksen, Jorgen Segerlund |
author_facet |
Osbrough, Stacey Lee Fredericksen, Jorgen Segerlund |
author_sort |
Osbrough, Stacey Lee |
title |
Computation of changes in explosive weather systems during the 20th century |
title_short |
Computation of changes in explosive weather systems during the 20th century |
title_full |
Computation of changes in explosive weather systems during the 20th century |
title_fullStr |
Computation of changes in explosive weather systems during the 20th century |
title_full_unstemmed |
Computation of changes in explosive weather systems during the 20th century |
title_sort |
computation of changes in explosive weather systems during the 20th century |
publisher |
Australian Mathematical Society |
publishDate |
2017 |
url |
https://journal.austms.org.au/ojs/index.php/ANZIAMJ/article/view/11784 |
long_lat |
ENVELOPE(162.533,162.533,-74.367,-74.367) |
geographic |
Baxter |
geographic_facet |
Baxter |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
ANZIAM Journal; Vol. 58 (2016); C137--C148 1445-8810 |
op_relation |
https://journal.austms.org.au/ojs/index.php/ANZIAMJ/article/view/11784/2057 https://journal.austms.org.au/ojs/index.php/ANZIAMJ/article/view/11784/2058 https://journal.austms.org.au/ojs/index.php/ANZIAMJ/article/view/11784 |
op_rights |
Copyright (c) 2017 AMPAI |
_version_ |
1766135691427708928 |