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An analysis of long-term variations of Sq and geomagnetic activity. Relevance in data reduction for crustal and main field studies Crisan Demetrescu, Venera Dobrica Institute of Geodynamics, Bucharest, Romania, [email protected] Acknowledgements: The study has been supported by the Institute
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An analysis of long-term variations of Sq and geomagnetic activity. Relevance in data reduction for crustal and main field studies Crisan Demetrescu, Venera.

Dec 14, 2015

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Page 1: An analysis of long-term variations of Sq and geomagnetic activity. Relevance in data reduction for crustal and main field studies Crisan Demetrescu, Venera.

An analysis of long-term variations of Sq and geomagnetic activity. Relevance in data reduction for crustal and main

field studies

Crisan Demetrescu, Venera DobricaInstitute of Geodynamics, Bucharest, Romania, [email protected]

Acknowledgements: The study has been supported by the Institute of Geodynamics (Projects

2/2004, 2005).

Page 2: An analysis of long-term variations of Sq and geomagnetic activity. Relevance in data reduction for crustal and main field studies Crisan Demetrescu, Venera.

Introduction

Geomagnetic indices- geomagnetic activity- solar daily variation

Long-term variations Conclusions

Outline

Page 3: An analysis of long-term variations of Sq and geomagnetic activity. Relevance in data reduction for crustal and main field studies Crisan Demetrescu, Venera.

Geomagnetic indices to quantify long-term external field variations (1)

Geomagnetic activity (aa, IHV, IDV)

- is the result of variable current systems formed in the magnetosphere and ionosphere as a consequence of interaction of the solar wind with the magnetosphere;

Solar daily variation (x, y, z, r)

- the ionospheric layers are created and maintained by the solar UV radiation. Solar tidal motions of the ionosphere and thermally driven ionospheric winds produce a regular daily variation SR by dynamo action;

Page 4: An analysis of long-term variations of Sq and geomagnetic activity. Relevance in data reduction for crustal and main field studies Crisan Demetrescu, Venera.

Geomagnetic indices to quantify long-term external field variations (2)

aa – (Mayaud, 1972; 1980)

● widely used to depict long-term variations of the geomagnetic activity;

● long-term similarity between aa and R in terms of 11-year running averages (Feynman & Crooker, 1978; Feynman, 1982; Silver, 1992; Cliver et al., 1998)

● heliospheric conditions at 1 AU (IMF strength, SW speed & density) account for the upward drift in the 20th century (Stamper et al., 1997)

● calibration problems – (Svalgaard et al., 2004) 1 8 6 0 1 8 8 0 1 9 0 0 1 9 2 0 1 9 4 0 1 9 6 0 1 9 8 0 2 0 0 0

Y ea r

4

8

1 2

1 6

2 0

2 4

2 8

3 2

3 6

4 0

aa (

nT

)

a aa a 1 1

The average, for each 3-hour period, of the K indices from two near-antipodal stations after the transformation of K into amplitudes; cancellation of local diurnal ionospheric effects

Page 5: An analysis of long-term variations of Sq and geomagnetic activity. Relevance in data reduction for crustal and main field studies Crisan Demetrescu, Venera.

IHV – (Svalgaard et al., 2004) to avoid calibration problems

● Mursula et al., 2004 and Mursula&Martini, 2005 - latitudinal dependence, corrections of early data

The InterHour Variability index = the sum of differences, without regard to the sign of hourly means (or values) for a geomagnetic component from one hour to the next over the six hours interval around local midnight where the SR variation is absent or minimal

● Svalgaard & Cliver, 2007 – global IHV index

- responds to BV02

Geomagnetic indices to quantify long-term external field variations (3)

Page 6: An analysis of long-term variations of Sq and geomagnetic activity. Relevance in data reduction for crustal and main field studies Crisan Demetrescu, Venera.

1 8 6 0 1 8 8 0 1 9 0 0 1 9 2 0 1 9 4 0 1 9 6 0 1 9 8 0 2 0 0 0

Y ea r

4

8

1 2

1 6

2 0

IDV

(n

T)

ID VID V 1 1

IDV – (Svalgaard & Cliver, 2004)

The InterDiurnal Variability index = the unsigned difference between two consecutive days of the averaged values of the field component (usually H) for the hour taken to start one hour after local midnight and asigned to the first day

- controlled by the IMF strength

Geomagnetic indices to quantify long-term external field variations (4)

Page 7: An analysis of long-term variations of Sq and geomagnetic activity. Relevance in data reduction for crustal and main field studies Crisan Demetrescu, Venera.

x, y, z, r – (Le Mouël et al., 2005)

● both EM radiation and corpuscular flux in the vicinity of the Earth are subject to the same time variations on the time-scale considered.

- Solar quiet daily variation Sq

● in terms of 11-year averages – similarity with aa and R – “overall trend of the geomagnetic field”

Geomagnetic indices to quantify long-term external field variations (5)

A common trend is present also at longer time-scales:- 22-year

- “secular”, “80-90 year”, Gleissberg cycle

Defined as daily ranges based on hourly means of the three components of the geomagnetic field X, Y and Z

Page 8: An analysis of long-term variations of Sq and geomagnetic activity. Relevance in data reduction for crustal and main field studies Crisan Demetrescu, Venera.

1 8 5 0 1 9 0 0 1 9 5 0 2 0 0 0

Y ea r

- 8- 40481 2

aa (nT

)

08

1 62 43 24 0

aa (

nT

)

G C

M C

S C

Successive extraction of the 11-, 22- and ~80-year variations (running averages)

The contribution of the 22-year and GC signals in aa amounts to ~30% of 11-year cycle no. 22 amplitude (4-5 nT)

Page 9: An analysis of long-term variations of Sq and geomagnetic activity. Relevance in data reduction for crustal and main field studies Crisan Demetrescu, Venera.

1 8 6 0 1 8 8 0 1 9 0 0 1 9 2 0 1 9 4 0 1 9 6 0 1 9 8 0 2 0 0 0

Y ea r

-1 2

-8

-4

0

4

8

1 2

ID

V (nT

)

4

8

1 2

1 6

2 0

IDV

(nT

)

ID VID V 1 1ID V 2 2ID V 8 8

G C

M CS C

Page 10: An analysis of long-term variations of Sq and geomagnetic activity. Relevance in data reduction for crustal and main field studies Crisan Demetrescu, Venera.

1 7 0 0 1 7 5 0 1 8 0 0 1 8 5 0 1 9 0 0 1 9 5 0 2 0 0 0

Y ea r

-4 0-2 002 04 0

Su

nspot n

um

ber

0

4 0

8 0

1 2 0

1 6 0

2 0 0S

uns

pot

num

ber

M C

G C

D M

2341

132 4

Page 11: An analysis of long-term variations of Sq and geomagnetic activity. Relevance in data reduction for crustal and main field studies Crisan Demetrescu, Venera.

reduced to their mean over the common interval and scaled with their standard deviation as unit

1 7 5 0 1 8 0 0 1 8 5 0 1 9 0 0 1 9 5 0 2 0 0 0

Y ea r

- 3- 2- 1

01234

- 6- 5- 4- 3- 2- 1

012345

a aRI D V

M C

G CS

tand

ard

devi

atio

n

1 8 5 0 1 9 0 0 1 9 5 0 2 0 0 0

Y ea r

- 8- 40481 2

aa (nT

)

08

1 62 43 24 0

aa (

nT

)

G C

M C

S C

1 8 6 0 1 8 8 0 1 9 0 0 1 9 2 0 1 9 4 0 1 9 6 0 1 9 8 0 2 0 0 0

Y ea r

-1 2

-8

-4

0

4

8

1 2

ID

V (n

T)

4

8

1 2

1 6

2 0

IDV

(n

T)

ID VID V 1 1ID V 2 2ID V 8 8

G C

M CS C

1 7 0 0 1 7 5 0 1 8 0 0 1 8 5 0 1 9 0 0 1 9 5 0 2 0 0 0

Y ea r

-4 0-2 002 04 0

Su

nsp

ot nu

mb

er

0

4 0

8 0

1 2 0

1 6 0

2 0 0

Su

nsp

ot n

um

ber

M C

G C

D M

2341

132 4

Page 12: An analysis of long-term variations of Sq and geomagnetic activity. Relevance in data reduction for crustal and main field studies Crisan Demetrescu, Venera.

-the coronal source field - as reflected by general heliospheric conditions at 1 AU – aa, IHV - as reflected by the IMF strength at 1 AU – IDV - the photospheric magnetic field – R - the solar radiative output – x, y, z, r, S

have a similar behaviour, being subject to similar long-term variations caused by processes developing in the Sun

At both the 22-year scale and the GC scale

1 8 8 0 1 9 0 0 1 9 2 0 1 9 4 0 1 9 6 0 1 9 8 0 2 0 0 0

Y ea r

- 3- 2- 1

0123

- 2

- 1

0

1

2

M C

G C

Sta

nd

ard

dev

iati

on

Correlation coefficients

22-year scaleaa/R 0.67IDV/R 0.88

GC scaleaa/R 0.98IDV/R 0.99

Page 13: An analysis of long-term variations of Sq and geomagnetic activity. Relevance in data reduction for crustal and main field studies Crisan Demetrescu, Venera.

Presence of long-term variations in annual means of observatory data

1860 1880 1900 1920 1940 1960 1980 2000

Y e ar

17600

18000

18400

18800

19200

19600

H (

nT)

1 1 -y ea r sm o o th in g2 2 -y ea r sm o o th in g7 8 -y ea r sm o o th in gm easu red v a lu es

H A D

Steady variation

1860 1880 1900 1920 1940 1960 1980 2000

Y ear

-250

-200

-150

-100

-50

0

50

100

150

200

250

300

350

400

H (

nT)

H A D

1 1

2 2

-250

-200

-150

-100

-50

0

50

100

150

200

250

300

350

400

H (

nT)

~ 8 0 -y ea r v a r ia tio n

-250

-200

-150

-100

-50

0

50

100

150

200

250

300

350

400

H (

nT)

The 11- (red), 22- (blue) and ~80-year (green) variations extracted from data. Dashed green line-extrapolated ~80-year variation

Successive filtering out of the sunspot cycle signature, which is not completely averaged out in the annual mean, of a 22-year variation, and of a ~80-year variation present in the time series of observatory annual means, by running averages with 11-, 22- and ~80-year windows respectively, results in a so called “steady variation” (full green line). The dashed green line – extrapolation of the steady variation.

Page 14: An analysis of long-term variations of Sq and geomagnetic activity. Relevance in data reduction for crustal and main field studies Crisan Demetrescu, Venera.

Conclusions

- while the 11-year variation in the observatory annual means is clearly related to the solar cycle, the larger amplitude of the 22-year and of the ~80-year variations (40-70 nT and, respectively, 500-600 nT peak to trough as compared to 20-40 nT) points to a core source;

- at a time when fine structures in geomagnetic models such as ocean tide and ocean currents effects are found, 4-5 nT seen in the long-term external variations might become significant for modelers as concerns the main field. At present only the 11-year external contribution is considered.

- the contribution of the 22-year and GC signals in aa index amount to ~30% of 11-year cycle no. 22 amplitude (4-5 nT);

Page 15: An analysis of long-term variations of Sq and geomagnetic activity. Relevance in data reduction for crustal and main field studies Crisan Demetrescu, Venera.

Geomagnetic and solar activity

Lockwood et al., 1999

The relationship between the solar activity and short-term variations in the geomagnetic field has been known for a long time. As a matter of fact, the study of geomagnetic phenomena such as geomagnetic storms and substorms, bays and pulsations, together with astronomical observations and studies, made possible the advancement of solar and magnetospheric physics and the development of the solar-terrestrial science.

1 8 6 0 1 8 8 0 1 9 0 0 1 9 2 0 1 9 4 0 1 9 6 0 1 9 8 0 2 0 0 0

Y ea r

0

1 0

2 0

3 0

4 0

aa

Page 16: An analysis of long-term variations of Sq and geomagnetic activity. Relevance in data reduction for crustal and main field studies Crisan Demetrescu, Venera.

SO

LA

R-C

YC

LE-R

ELA

TE

D V

AR

IAT

ION

(nT

)

H s

Zs

-30

-20

-10

0

10

20

30

Zs

1880 1900 1920 1940 1960 1980

Y ea r

-800

-400

0

400

800

H 8

0-ye

ar v

aria

tion

(n

T)

ABG

C LF

C O I

H A D

EBR

ESK

FR D

H O N

BFE

KAK

VAL

1860 1880 1900 1920 1940 1960 1980 2000

Y ea r

-1000

-500

0

500

1000

1500

H-H

78 (

nT)

A B GB F EE S KF R DH A DC L FC O IV A LH O NE B RK A K

The extracted 11-year variation The extracted ~80-year variation

The extracted 22-year variation

1860 1880 1900 1920 1940 1960 1980 2000

Y ea r

-100

-80

-60

-40

-20

0

20

40

60

80

Mag

neti

c-cy

cle-

rela

ted

vari

atio

n (

nT) H

F R D

A B G

H O N K A K

E u ro p e