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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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