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
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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
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