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scostep 2010 (stp12) - Leibniz-Institut für Atmosphärenphysik an der ...

scostep 2010 (stp12) - Leibniz-Institut für Atmosphärenphysik an der ...

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STP12 Abstracts<br />

Berlin, 12 - 16 July <strong>2010</strong><br />

SCOSTEP Symposium <strong>2010</strong><br />

Ground Magnetic Characteristics of the Solar Diurnal Variations: A Case Study Based<br />

on Records from Vassouras Observatory (Brazil)<br />

Klausner Virginia 1 , Papa Andres R. R. 1 , Mendes Jr Odim 2 , Domingues Margarete O.<br />

1 Observatorio Nacional, 2 <strong>Institut</strong>o Nacional de Pesquisas Espaciais, 3<br />

A recently developed method is used to perform a spectral <strong>an</strong>alysis study of global quiet<br />

geomagnetic field variations via a principal component <strong>an</strong>alysis. It is well known that the<br />

solar quiet variation measured on the Earth’s surface presents characteristic frequencies with<br />

24, 12, 8 <strong>an</strong>d 6-hour periods. Those typical kinds of oscillations are primarily due to the<br />

global thermotidal wind systems which conduct currents flowing in the “dynamo region” of<br />

the ionosphere, the E-region. In this study, the horizontal component amplitude observed by<br />

ground-based observatories belonged to the INTERMAGNET network have been used to<br />

<strong>an</strong>alyze the global pattern vari<strong>an</strong>ce of the Sq variation. The methodological approach is based<br />

on Principal Component Analysis (PCA). The PCA is a mathematical tool useful to tr<strong>an</strong>sform<br />

a number of correlated variables into a number of uncorrelated variables called principal<br />

components. The first principal component accounts for as much of the variability in the data<br />

as possible, <strong>an</strong>d each succeeding component accounts for as much of the remaining variability<br />

as possible. By applying the PCA to datasets of geomagnetic quiet days, we determined the<br />

global domin<strong>an</strong>t patterns of the geomagnetic field vari<strong>an</strong>ce. The purpose of this work is to<br />

describe the global domin<strong>an</strong>t patterns of vari<strong>an</strong>ce in the time series of Vassouras (VSS) <strong>an</strong>d<br />

other magnetic stations reasonably well-distributed over the whole Earth’s surface.

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