Solanki SSN Grand Min Max

Long-Term Solar Activity Reconstruction: Grand Minima and Maxima Ilya Usoskin1, Sami K. Solanki2, Gennady Kovaltsov3 1 ...

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Long-Term Solar Activity Reconstruction:

Grand Minima and Maxima Ilya Usoskin1, Sami K. Solanki2, Gennady Kovaltsov3 1 Sodankylä

Geophysical Observatory, University of Oulu, Finland 2 Max-Planck-Institut for Solar System Research, Katlenburg-Lindau, Germany 3 Ioffe Physical-Technical Institute, St.Petersburg, Russia

Solar activity variations: telescopic sunspot number record Group sunspot number

150

100

50

0 1600

1700

1800

1900

2000

• 11-year solar cycle (Christian Horrebow 1770s; Schwabe 1843)

• Variable amplitude/envelope (Gleissberg 1944); • Maunder minimum (Hivelius; Eddy 1976); • The contemporary level is high

Solar activity in the past Electronic Photographic data Geomagnetic measurements Sunspot counts and drawings Aurora sightings Naked eye sunspot observations Cosmogenic isotopes 1E+6

1E+5

1E+4

1E+3

1E+2

Years before present

1E+1

1E+0

Proxy of SA: Cosmogenic isotopes Geomagnetic field IMF, solar wind

Cosmic Rays

• Variable solar activity expands to the Heliosphere: solar wind, interplanetary

magnetic field, interplanetary transients (CME, corotation regions), etc. • Galactic cosmic rays are modulated by IMF, magnetic inhomogeneities, solar wind; • Geomagnetic field partly shields the Earth (mid- and low-latitude regions) from incoming cosmic rays; • This process is well understood and can be properly modelled (Beer, Space Sci. Rev., 2000; Usoskin et al., Phys. Rev. Lett., 2003; Solanki et al., Nature, 2004)

SN reconstruction from 14C or 10Be Sunspot numbers e.g. Model by Solanki et al. (2002) Sunspot number nonlinear

open magn. flux Heliospheric params

e.g. Model by Usoskin et al. (2002a) Modul. strength

nonlinear

CR intens. variations CR intensity

Deposition models, paleomagnetic models 10Be: Webber & Higbie, 14C: Usoskin & Kromer B⊕:Yang et al. (2000), Korte & Constable (2005) Cosmogenic isotopes Usoskin et al. (2002b) in natural archives Solanki et al. (2004) , Usoskin et al. (2004, 2007)

Sunspot number reconstructed from 14C Sunspot number

80

Smoothed Sunspot number over 11400 yr

60

40

20

0 -10000

-9000

-8000

-7000

-6000

-5000

-4000

Sunspot number

80

27 Grand minima 19 Grand maxima can be identified.

60

40

20

0 -4000

-3000

-2000

-1000

0

1000

2000

Minima cover 1880 yr ≈ 17% of time Maxima cover 1030 yr ≈ 9% of time

Years (-BC/AD)

Solanki,. Usoskin, Kromer, Schüssler, Beer, Nature, 2004 Usoskin, Solanki & Kovaltsov, A&A, 2007

Sunspot number statistics Max

Min

Number per bin

100

10

1

0

20

40

60

80



Red curve: best-fit normal distribution

100

Waiting time distribution Grand minima

Grand maxima waiting time distribution

Differential distribution

0.01

1E-3

1E-3

1E-4

100

1000

Interval length (Years)

1E-4 100

1000

Interval length (Years)

Closer to power law (red lines) than to exponential (dotted yellow lines)  waiting time tends to show clustering of Min and Max

Durations of Minima & Maxima Grand minima

Grand maxima Differential distribution

Number per bin

6

4

2

0 50

100

150

Duration (Years)

Maunder

0.01

1E-3

0

50

100

150

Duration (Years)

Spoerer

Quasi-Bimodal

Exponential

200

Conclusions 

The Sun spends 17% of the time in grand minima, 9% in grand maxima. Currently the Sun is in a grand maximum.



Grand minima/maxima are not due to long-term cyclic variations but rather to stochastic/chaotic processes.



Waiting time distribution of occurrence of grand minima and maxima deviates from an exponential distribution  typical of non-Poisson processes with, e.g., self-organized criticality or processes related to accumulation and release of energy.



Grand minima can be classified into two different types: short minima of Maunder type and long minima of Spörer type.



Duration of grand maxima exponentially distributed  leaving a grand maximum is a random process, unlike for grand minima

/kg) 44Ti activity (dpm/kg)

9

GSN

Ti-44 activity: measurements vs. model

S04

8

M05-A M05-M

7

Ti-44

6

5

4

3 1750

1800

1850

1900

1950

Model

χ2 (DoF)

Confid. level

GSN

7.55(17)

98%

S04

2.44 (8)

97%

M05-M

20.5 (11)

4%

M05-A

4.4 (11)

95%

2000

Preliminary results! New data are currently being finalized and analyzed