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  Principal oscillation patterns: a review

Von Storch, H., Bürger, G., Schnur, R., & Von Storch, J. (1995). Principal oscillation patterns: a review. Journal of Climate, 8, 377-400. doi:10.1175/1520-0442(1995)008<0377:POPAR>2.0.CO;2.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0001-89A7-8 Version Permalink: https://hdl.handle.net/21.11116/0000-0001-89A8-7
Genre: Journal Article

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 Creators:
Von Storch, Hans1, Author
Bürger, Gerd2, Author
Schnur, Reiner1, Author
Von Storch, Jin—Song1, Author
Affiliations:
1MPI for Meteorology, Max Planck Society, Bundesstraße 53, 20146 Hamburg, DE, ou_913545              
2Lcmont—Doherty Geologicol Observatory of Columbia University, Route 9W Palisades, NY 10964 USA, ou_persistent22              

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Free keywords: data processing; oscillations; principal interaction pattern; principal oscillation pattern; space/time variability; time series analysis; tropospheric variability, Climate; Oscillations
 Abstract: The principal oscillation pattern (POP) analysis is a technique used to simultaneously infer the characteristic patterns and timescales of a vector time series. The POPs may be seen as the normal modes of a linearized system whose system matrix is estimated from data. The concept of POP analysis is reviewed. Examples are used to illustrate the potential of the POP technique. The best defined POPs of tropospheric day-to-day variability coincide with the most unstable modes derived from linearized theory. POPs can be derived even from a space-time subset of data. POPs are successful in identifying two independent modes with similar timescales in the same dataset. The POP method can also produce forecasts that may potentially be used as a reference for other forecast models. -Authors

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Language(s): eng - English
 Dates: 1995
 Publication Status: Issued
 Pages: -
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 Rev. Type: Peer
 Identifiers: DOI: 10.1175/1520-0442(1995)008<0377:POPAR>2.0.CO;2
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Title: Journal of Climate
  Other : J. Clim.
Source Genre: Journal
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Publ. Info: Boston, MA : American Meteorological Society
Pages: - Volume / Issue: 8 Sequence Number: - Start / End Page: 377 - 400 Identifier: ISSN: 0894-8755
CoNE: https://pure.mpg.de/cone/journals/resource/954925559525

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Title: Report / Max-Planck-Institut für Meteorologie
Source Genre: Series
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Publ. Info: Hamburg : Max-Planck-Institut für Meteorologie
Pages: - Volume / Issue: 113 Sequence Number: - Start / End Page: - Identifier: -