How to Recognize a True Mode of Atmospheric Circulation Variability
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378289%3A_____%2F21%3A00541896" target="_blank" >RIV/68378289:_____/21:00541896 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11310/21:10432929
Result on the web
<a href="https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020EA001275" target="_blank" >https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2020EA001275</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1029/2020EA001275" target="_blank" >10.1029/2020EA001275</a>
Alternative languages
Result language
angličtina
Original language name
How to Recognize a True Mode of Atmospheric Circulation Variability
Original language description
It has been demonstrated several times that when principal component analysis (PCA) is used for detection of modes of atmospheric circulation variability (teleconnections), principal components must be rotated. Despite it, unrotated PCA is still often used. Here we demonstrate on the examples of North Atlantic Oscillation (NAO), Arctic Oscillation (AO), Barents Oscillation (BO), and the summer East Atlantic (SEA) pattern that unrotated PCA results in patterns that are artifacts of the analysis method rather than true modes of variability. This claim is based on the comparison of the spatial patterns of the modes with spatial autocorrelations, on the sensitivity of the patterns to spatial and temporal subsampling, and, for the SEA pattern, on correlations with tropical sea surface temperature. Unlike NAO, which is defined by rotated PCA, the other modes, that is, AO, BO, and SEA pattern, defined by unrotated PCA, do not correspond well to underlying autocorrelation structures and are more sensitive to choices of spatial domain and time interval over which they are defined. We reiterate that a great care must be taken when interpreting outputs of PCA when applied to the detection of modes of circulation variability: a comparison with spatial autocorrelations and check for their spatial and temporal stability are necessary to distinguish true modes from statistical artifacts, which we call ´ghost patterns´.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10509 - Meteorology and atmospheric sciences
Result continuities
Project
<a href="/en/project/GA17-07043S" target="_blank" >GA17-07043S: Teleconnections - major building blocks of atmospheric circulation</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Earth and Space Science
ISSN
2333-5084
e-ISSN
2333-5084
Volume of the periodical
8
Issue of the periodical within the volume
3
Country of publishing house
US - UNITED STATES
Number of pages
15
Pages from-to
e2020EA001275
UT code for WoS article
000635218300014
EID of the result in the Scopus database
2-s2.0-85103274130