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Using Principal Component Analysis to Characterize the Variability of VLF Wave Intensities Measured by a Low-Altitude Spacecraft and Caused by Interplanetary Shocks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378289%3A_____%2F21%3A00543236" target="_blank" >RIV/68378289:_____/21:00543236 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11320/21:10431313

  • Result on the web

    <a href="https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021JA029158" target="_blank" >https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021JA029158</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1029/2021JA029158" target="_blank" >10.1029/2021JA029158</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Using Principal Component Analysis to Characterize the Variability of VLF Wave Intensities Measured by a Low-Altitude Spacecraft and Caused by Interplanetary Shocks

  • Original language description

    Very low frequency wave intensity measurements provided by the French low-altitude DEMETER spacecraft are studied using the principal component analysis (PCA). We focus on both the physical interpretation of the first two principal components and their application to real physical problems. Variations of the first principal component (PC1) coefficients due to the geomagnetic activity and seasonal/longitudinal changes are studied. It is shown that their distribution corresponds to the wave intensity dependences obtained in previous studies. Moreover, the variations of PC1 coefficients around interplanetary shock arrivals are analyzed. The study is performed for fast forward (FF), fast reverse, slow forward, and slow reverse shocks separately. It shows that the most significant effect on the wave intensity is displayed in the FF case. Furthermore, it turns out that the wave intensity variations depend on the wave intensity detected before the shock arrival. Finally, the shock strength and interplanetary magnetic field orientation are also important. The performed analysis shows that PCA can be successfully applied to characterize large data sets of spacecraft measurements by limited sets of numbers-principal component coefficients (typically first one or two are enough), which still maintain a sufficient amount of information.

  • 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

    10305 - Fluids and plasma physics (including surface physics)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • 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

    Journal of Geophysical Research-Space Physics

  • ISSN

    2169-9380

  • e-ISSN

    2169-9402

  • Volume of the periodical

    126

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    14

  • Pages from-to

    e2021JA029158

  • UT code for WoS article

    000657463000062

  • EID of the result in the Scopus database

    2-s2.0-85107073084