Non-linear cyclic regimes of short-term climate variability

Non-linear cyclic regimes of short-term climate variability

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The Circular Non-linear Principal Component Analysis (CNLPCA), a variation of the non-linear version of the traditional Principal Component Analysis (PCA), is introduced. It is then applied to monthly-averaged geopotential heights of the NASA Goddard Institute for Space Studies SI2000 Global Circul...

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Main Author: Sih, Perry
Format: Others
Language:English
Published: 2009
Online Access:http://hdl.handle.net/2429/14429
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spelling ndltd-UBC-oai-circle.library.ubc.ca-2429-144292018-01-05T17:37:17Z Non-linear cyclic regimes of short-term climate variability Sih, Perry The Circular Non-linear Principal Component Analysis (CNLPCA), a variation of the non-linear version of the traditional Principal Component Analysis (PCA), is introduced. It is then applied to monthly-averaged geopotential heights of the NASA Goddard Institute for Space Studies SI2000 Global Circulation Model (GCM). It is shown that height variability in the model troposphere and stratosphere is essentially linear, even with different aerosol forcings. The daily-averaged model output show weak non-linearity. When CNLPCA is applied to observed geopotential height data, cyclic behaviour appears. The preferred states of the climate system can be seen. This cyclic behaviour can be tracked by recording the phase angle, a unique feature of the CNLPCA. By doing so, the preferred direction, as well as the frequency, of the cyclic behaviour can be found. Science, Faculty of Physics and Astronomy, Department of Graduate 2009-10-30T19:44:53Z 2009-10-30T19:44:53Z 2003 2003-11 Text Thesis/Dissertation http://hdl.handle.net/2429/14429 eng For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use. 2564092 bytes application/pdf
collection NDLTD
language English
format Others
sources NDLTD
description The Circular Non-linear Principal Component Analysis (CNLPCA), a variation of the non-linear version of the traditional Principal Component Analysis (PCA), is introduced. It is then applied to monthly-averaged geopotential heights of the NASA Goddard Institute for Space Studies SI2000 Global Circulation Model (GCM). It is shown that height variability in the model troposphere and stratosphere is essentially linear, even with different aerosol forcings. The daily-averaged model output show weak non-linearity. When CNLPCA is applied to observed geopotential height data, cyclic behaviour appears. The preferred states of the climate system can be seen. This cyclic behaviour can be tracked by recording the phase angle, a unique feature of the CNLPCA. By doing so, the preferred direction, as well as the frequency, of the cyclic behaviour can be found. === Science, Faculty of === Physics and Astronomy, Department of === Graduate
author Sih, Perry
spellingShingle Sih, Perry
Non-linear cyclic regimes of short-term climate variability
author_facet Sih, Perry
author_sort Sih, Perry
title Non-linear cyclic regimes of short-term climate variability
title_short Non-linear cyclic regimes of short-term climate variability
title_full Non-linear cyclic regimes of short-term climate variability
title_fullStr Non-linear cyclic regimes of short-term climate variability
title_full_unstemmed Non-linear cyclic regimes of short-term climate variability
title_sort non-linear cyclic regimes of short-term climate variability
publishDate 2009
url http://hdl.handle.net/2429/14429
work_keys_str_mv AT sihperry nonlinearcyclicregimesofshorttermclimatevariability
_version_ 1718589616309665792

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