Modeling of CME and CIR driven geomagnetic storms by means of artificial neural networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985530%3A_____%2F15%3A00472536" target="_blank" >RIV/67985530:_____/15:00472536 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1515/congeo-2015-0013" target="_blank" >http://dx.doi.org/10.1515/congeo-2015-0013</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1515/congeo-2015-0013" target="_blank" >10.1515/congeo-2015-0013</a>
Alternative languages
Result language
angličtina
Original language name
Modeling of CME and CIR driven geomagnetic storms by means of artificial neural networks
Original language description
A model of geomagnetic storms based on the method of artificial neural networks (ANN) combined with an analytical approach is presented in the paper. Two classes of geomagnetic storms, caused by coronal mass ejections (CMEs) and those caused by corotating interaction regions (CIRs), of medium and week intensity are subject to study. As the model input, the hourly solar wind parameters measured by the ACE satellite at the libration point L1 are used. The time series of the Dst index is obtained as the model output. The simulated Dst index series is compared with the corresponding observatory data. The model reliabilty is assessed using the skill scores, namely the correlation coefficient CC and the prediction efficiency PE. The results show that the model performance is better for the CME driven storms than for the CIR driven storms. At the same time, it appears that in the case of medium and weak storms the model performance is worse than in the case of intense storms.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
DE - Earth magnetism, geodesy, geography
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Contributions to Geophysics & Geodesy
ISSN
1335-2806
e-ISSN
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Volume of the periodical
45
Issue of the periodical within the volume
1
Country of publishing house
SK - SLOVAKIA
Number of pages
13
Pages from-to
53-65
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-84947800761