The identification of long-lived Southern Hemisphere flow events using archetypes and principal components

From time to time atmospheric flows become organized and form coherent long-lived structures. Such structures could be propagating, quasi-stationary, or recur in place. We investigate the ability of Principal Components Analysis (PCA) and Archetypal Analysis (AA) to identify long-lived events, exclu...

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Bibliographic Details
Published in:Monthly weather review 2021-06, Vol.149 (6), p.1987
Main Authors: Risbey, James S., Monselesan, Didier P., Black, Amanda S., Moore, Thomas S., Richardson, Doug, Squire, Dougal T., Tozer, Carly R.
Format: Article
Language:English
Subjects:
Analysis
Antarctic Oscillation
Atmospheric flows
Cold
Components
Dynamic height
Geopotential
Geopotential height
Principal components analysis
Rain
Southern Hemisphere
Structures
Time series
Wave packets
Wave trains
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Summary:From time to time atmospheric flows become organized and form coherent long-lived structures. Such structures could be propagating, quasi-stationary, or recur in place. We investigate the ability of Principal Components Analysis (PCA) and Archetypal Analysis (AA) to identify long-lived events, excluding propagating forms. Our analysis is carried out on the Southern Hemisphere mid-tropospheric flow represented by geopotential height at 500hPa ( Z 500 ). The leading basis patterns of Z 500 for PCA and AA are similar and describe structures representing (or similar to) the Southern Annular Mode (SAM) and Pacific South American (PSA) pattern. Long-lived events are identified here from sequences of 8 days or longer where the same basis pattern dominates for PCA or AA. AA identifies more long-lived events than PCA using this approach. The most commonly occurring long-lived event for both AA and PCA is the annular SAM-like pattern. The second most commonly occurring event is the PSA-like Pacific wavetrain for both AA and PCA. For AA the flow at any given time is approximated as weighted contributions from each basis pattern, which lends itself to metrics for discriminating among basis patterns. These show that the longest long-lived events are in general better expressed than shorter events. Case studies of long-lived events featuring a blocking structure and an annular structure show that both PCA and AA can identify and discriminate the dominant basis pattern that most closely resembles the flow event.
ISSN:0027-0644
1520-0493
DOI:10.1175/MWR-D-20-0314.1