Magnetospheric Response to Solar Wind Driving

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F20%3A10423441" target="_blank" >RIV/00216208:11320/20:10423441 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.mff.cuni.cz/veda/konference/wds/proc/pdf20/WDS20_04_f1_Vybostokova.pdf" target="_blank" >https://www.mff.cuni.cz/veda/konference/wds/proc/pdf20/WDS20_04_f1_Vybostokova.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Magnetospheric Response to Solar Wind Driving

Popis výsledku v původním jazyce

Interaction of solar events propagating throughout interplanetary space with the magnetic eld of the Earth may result in disruption of the magnetosphere. Disruption of the magnetic eld is followed by the formation of the time-varying electric eld and thus electric current is induced in Earth-bound structures such as transmission networks, pipelines or railways. In that case it is necessary to be able to predict future state of the magnetosphere and magnetic eld of the Earth. The most straightforward way would using geomagnetic indices. Several studies are investigating the relationship of the response of the magnetosphere to changes in the solar wind with motivation to give a more accurate prediction of geomagnetic indices during geomagnetic storms. To forecast these indices, dierent approaches have been attempted from simple correlation studies to neural networks. We studied the eects of interplanetary shocks observed at L1 on the Earth&apos;s magnetosphere with a database of 29 shocks between 2009 and 2019. Driving of the magnetosphere is described as integral of reconnection electric eld, Ey = vx x Bz for each shock. The response of the geomagnetic eld is described with the SYM-H index. We created an algorithm in Python for prediction of the magnetosphere state based on the correlation of solar wind driving and magnetospheric response and found that typical time-lags range between tens of minutes to maximum 2 hours.

Název v anglickém jazyce

Magnetospheric Response to Solar Wind Driving

Popis výsledku anglicky

Interaction of solar events propagating throughout interplanetary space with the magnetic eld of the Earth may result in disruption of the magnetosphere. Disruption of the magnetic eld is followed by the formation of the time-varying electric eld and thus electric current is induced in Earth-bound structures such as transmission networks, pipelines or railways. In that case it is necessary to be able to predict future state of the magnetosphere and magnetic eld of the Earth. The most straightforward way would using geomagnetic indices. Several studies are investigating the relationship of the response of the magnetosphere to changes in the solar wind with motivation to give a more accurate prediction of geomagnetic indices during geomagnetic storms. To forecast these indices, dierent approaches have been attempted from simple correlation studies to neural networks. We studied the eects of interplanetary shocks observed at L1 on the Earth&apos;s magnetosphere with a database of 29 shocks between 2009 and 2019. Driving of the magnetosphere is described as integral of reconnection electric eld, Ey = vx x Bz for each shock. The response of the geomagnetic eld is described with the SYM-H index. We created an algorithm in Python for prediction of the magnetosphere state based on the correlation of solar wind driving and magnetospheric response and found that typical time-lags range between tens of minutes to maximum 2 hours.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10305 - Fluids and plasma physics (including surface physics)

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

WDS&apos;20 Proceedings of Contributed Papers — Physics

ISBN

978-80-7378-435-5

ISSN

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e-ISSN

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Počet stran výsledku

10

Strana od-do

28-37

Název nakladatele

Matfyzpress

Místo vydání

Praha

Místo konání akce

Praha/ZOOM

Datum konání akce

22. 9. 2020

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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