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1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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Page 1: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

1

Predicting the Solar Cycle

Leif Svalgaard

Stanford University

Solar Analogs II

Flagstaff, AZ, Sept. 22, 2009

Page 2: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

2

State of the Art: Predicting Cycle 24Predictions sent to the Prediction Panel

Page 3: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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State of the Art: Predicting Cycle 24What the Sun seems to be doing

Page 4: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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Near Normal Distribution = No SkillSome preference for Climatological Mean

0

5

10

15

20

25

30

0 25 50 75 100 125 150 175 200 225

Distribution of Predicted Solar Cycle 24 Size

Climatological Mean

Rmax

Page 5: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

5

Early Optimism and PR Effort

• “The next sunspot cycle will be 30-50% stronger than the last one and begin as much as a year late, according to a breakthrough forecast using a computer model of solar dynamics developed by scientists at the National Center for Atmospheric Research (NCAR).”

2004-2006

Page 6: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

6

Flux Transport Dynamo Models

• Dikpati, M., de Toma, G., Gilman, P.A.: Predicting the strength of solar cycle 24 using a flux-transport dynamo-based tool, Geophys. Res. Lett., 33, L05102, 2006.

Rmax24 = 160-185• Choudhuri, A.R., Chatterjee, P., Jiang, J.: Predicting

Solar Cycle 24 with a solar dynamo model, Phys. Rev. Lett., 98, 131103, 2007.

Rmax24 = 75

• Difference is primarily due to different assumptions about the diffusivity of magnetic flux into the Sun [high = weak cycle]

Page 7: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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High Diffusivity: LeftLow Diffusivity (Advection): Right

Conveyor BeltP is a proxy for T

One year between dots

Dikpati et al.Choudhuri et al.

Page 8: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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Grow-N-Crash ‘Model’Easy to get a high correlation

Dikpati et al. 2006

Intermittency from threshold effects

Page 9: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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Grow-N-Crash ‘Model’Easy to get a high correlation

Dikpati et al. 2006

Page 10: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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Supply a Scaled Standard Cycle Body to get ‘Stunning’ Correlation

Crash-N-GrowDikpati et al.

Dikpati et al. assumed constant Meridional Circulation, except for cycle 24

Page 11: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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Meridional Circulation

Both (Dikpati, Choudhuri) of these Flux Transport Dynamo Models produce strong polar fields and short cycles when the meridional flow is fast. However: “Measurements of the meridional flow over Cycle 23 now show that on the approach to Cycle 24 minimum in 2008 to speeds significantly higher than were seen at the previous minimum (David Hathaway, SOHO-23)”

Page 12: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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Meridional Circulation

Lisa Rightmire, David Hathaway (2009): Cross-correlating full-disk magnetograms

Page 13: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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‘Flux Transport Models Not Ready Yet’

• “In these models this higher meridional flow speed should produce strong polar fields and a short solar cycle contrary to the observed behavior.

• “These observations, along with others, suggest that Flux Transport Dynamo Models do not properly capture solar cycle behavior and are not yet ready to provide predictions of solar cycle behavior.

Hathaway, 2009

Page 14: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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Is This Too Harsh?

• The polar fields were built several years ago before the increase in the Meridional circulation [the polar fields were essentially established by mid-2003]

22 23

Page 15: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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And Have Not Increased Since Then, rather Beginning to Show a Decrease

-150

-100

-50

0

50

100

150

2003.0 2004.0 2005.0 2006.0 2007.0 2008.0 2009.0 2010.0 2011.0

S

N

N+S

WSO Polar Fields

Year

uT

N-S

model WF

Bad Filter

Page 16: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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Latitudes of Active Regions During Cycle 23 were not Unusual

1874-2005

Page 17: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

17

Issues with Meridional Circulation

• The question is not whether the M.C. is there or not, but rather what role it plays in the solar cycle, probably hinging on the value of the turbulent diffusivity.

• An unknown is the degree to which M.C. is affected by back-reaction from the Lorentz force associated with the dynamo-generated magnetic field (chicken and egg).

• The form and speed of the equatorward return flow in the lower convective zone is at present unknown.

Page 18: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

18

Perhaps a Shallow Dynamo?

Ken Schatten [Solar Physics, 255, 3-38, 2009] explores the possibility of sunspots being a surface phenomenon [being the coalescence of smaller magnetic features as observations seem to indicate] and that the solar dynamo is shallow rather than operating at the tachocline, based on his Cellular Automata model of solar activity.

Page 19: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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Schatten’s Cellular Automata Model

Page 20: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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In the CA Model, the Polar Flux also Predicts the Sunspot Flux

Page 21: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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Other Dynamo Models

Kitiashvili, 2009

The Ensemble Kalman Filter (EnKF) method has been used to assimilate the sunspot number data into a non-linear α-Ω mean-field dynamo model, which takes into account the dynamics of turbulent magnetic helicity.

Page 22: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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Back to Empirical Predictions?

With predictions based on Flux Transport Dynamos in doubt or less enthusiastically embraced (and the Shallow Dynamo and the EnKF approach not generally pursued) we may be forced back to Precursor Techniques where some observed features are thought to presage future activity.

Page 23: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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Precursors

• Coronal Structure [Rush to the Poles]

• Torsional Oscillation [At Depth]

• H-alpha Maps [Magnetic Field Proxy]

• Geomagnetic Activity [Solar Wind Proxies]

• Open Flux at Minimum

And that old stand-by:

• Polar Fields

Page 24: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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Green Corona Brightnessto Determine Time of Maximum

?

?

Altrock, 2009

Page 25: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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Torsional Oscillation Polar BranchWhere is it? (Chicken & Egg)

Howe, 2009

Page 26: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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Large-Scale ‘Magnetic’ Field from Neutral Lines on Hα Maps

Tlatov et al., 2006

Assigning fields of +1 and -1 to areas between neutral lines, calculate the global dipole μ1 and octupole μ3 components. They predict the cycle 69 months aheadMcIntosh

A(t)

Page 27: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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Geomagnetic Activity During Descending Phase of Cycle

Bhatt et al., 2009

Page 28: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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Or Just at Minimum

0

20

40

60

80

100

120

140

160

180

1830 1840 1850 1860 1870 1880 1890 1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010 20200

2

4

6

8

10

12

14

16

Rmax = 22.5 + 13.42 Apmin R2=0.88

Rmax = 24.85 * Apmin0.7956 R2=0.89

Rmax Apminobs

Sunspot Number at Maximum Following Ap at Minimum

Svalgaard, 2009

Page 29: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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AA-index as Proxy for Open Heliospheric Magnetic Flux

24

Wang & Sheeley, 2009

Min AA based on last 12 months

Page 30: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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Recurrent High-Speed Streams Nearing Solar Minimum Create High Geomagnetic Activity

-0.6

-0.4

-0.2

0

0.2

0.4

0.6

0.8

1

1860 1870 1880 1890 1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010

Sargent's Recurrence Index

0

10

20

30

40

50

60

70

1860 1870 1880 1890 1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010

Geomagnetic Activity (aa*)

Page 31: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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The Size of these Activity Peaks [Corrected for Sunspot Activity] has

been used as a Precursor of the Next Cycle [Physics is Obscure Though]

Hathaway et al.

Page 32: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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Picking the Wrong Peak [From Filtered Data] Can Lead You Astray

-0.6

-0.4

-0.2

0

0.2

0.4

0.6

0.8

1

1860 1870 1880 1890 1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010

Sargent's Recurrence Index

0

10

20

30

40

50

60

70

1860 1870 1880 1890 1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010

Geomagnetic Activity (aa*)

Page 33: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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“Picking the Peak”• Using the large peak in 2003 predicted a large

cycle [Rmax ~ 160], but perhaps the peak to use [based on the Recurrence Index] is the one in 2008 that predicts a small cycle [Rmax ~ 80]

0

10

20

30

40

50

60

70

80

1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010

Geomagnetic Activity

Flares

"Recurrence Peak"

Large Cycle Small

cycle

Page 34: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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Definition of Polar Fields

Page 35: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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Measurements of Polar Fields

-400

-300

-200

-100

0

100

200

300

400

1965 1970 1975 1980 1985 1990 1995 2000 2005 2010

MSO* WSO

North - South Solar Polar fields [microTesla]

1953 1965

Page 36: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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Another Measure of the Polar fields

Nobeyama Radioheliograph, Japan

-1500

-1000

-500

0

500

1000

1500

1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

K

Year

Polar Field Proxy from Nobeyama 17 GHz Brightness Temperature

North

South

-200

-150

-100

-50

0

50

100

150

1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

Data Bad

WSO Polar Fields

North

South

uT

Year

17 GHz Radio Flux

Page 37: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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Polar Field Scaled by Size of Next Cycle is Possibly an Invariant

-400

-300

-200

-100

0

100

200

300

400

1965 1970 1975 1980 1985 1990 1995 2000 2005 2010

MSO* WSO

North - South Solar Polar fields [microTesla]

Rmax24 = 75

Our Prediction

Page 38: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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Cycle Transitions2007.2852007.37

2007.4522007.5372007.6222007.7042007.7892007.8712007.9562008.0412008.1232008.2052008.2872008.3722008.4542008.5392008.6242008.7062008.7912008.8732008.9582009.0422009.1212009.2032009.2852009.3662009.4482009.5292009.6112009.692

050

100150200250300350400450500

1980 1985 1990 1995 2000 2005 2010 2015

232221

Active Region Count

24

0102030405060708090

100

1983 1984 1985 1986 1987 1988 1989

21 22

0102030405060708090

100

1993 1994 1995 1996 1997 1998 1999

22 23

0102030405060708090

100

2005 2006 2007 2008 2009 2010 2011

23 240

5

10

15

20

25

30

2007.75 2008 2008.25 2008.5 2008.75 2009 2009.25 2009.5 2009.75 2010

23

24

Region Days (per Month)

Ri/0.323+24

The current minimum is very low [the lowest in a century], and it looks like Minimum is now behind us

Page 39: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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What Will Cycle 24 Look Like?• Perhaps like cycle 14, starting 107 years ago• Note the curious oscillations, will we see some this time?• If so, I can just imagine the confusion there will be with

‘verification’ of the prediction

Cycle 14

Alvestad, 2009

Page 40: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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If We Can Just See the Spots…

• Sunspots are getting warmer, thus becoming harder to see. Will they disappear? Or will the Sunspot Number just be biased and too small…

William Livingston, Pers. Comm. 2010

dy = -54 dx

dy = 0.0186 dx

1500

2000

2500

3000

3500

4000

1990 1995 2000 2005 2010 2015 2020

0

0.2

0.4

0.6

0.8

1B Gauss Intensity

Year

Livingston & Penn Umbral Data

Page 41: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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F10.7 Flux Relationship with Sunspot Numbers is Changing

y = -9.167E-12x6 + 1.194E-08x5 - 5.900E-06x4 + 1.451E-03x3 - 1.900E-01x2 + 1.378E+01x - 3.978E+02R2 = 9.770E-01

0

50

100

150

200

250

0 50 100 150 200 250 300

F10.7 sfu

R

Sunspot Number vs. F10.7 Flux Monthly Averages

1951-1988

1996-2009

Ratio of observed SSN and SSN computed from F10.7 using formula for 1951-1988

Recent SSN already too low ?

Svalgaard & Hudson, 2009

0

1

2

1950 1955 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010

Observed Rz,i / Calculated Rz,i [for Rz,i >4]

SIDC

mmmmm

Zürich

m

Page 42: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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So What Do We Predict? SSN or F10.7 Flux or Magnetic Regions?

• Since the prediction is based on the magnetic field, we are really predicting a proxy for the field:

• F10.7 120 sfu

• Magnetic Regions 6

• Sunspot Number Who knows?

• Was the Maunder Minimum like this?

Page 43: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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Conclusion"It cannot be said that much progress has been made towards the disclosure of the cause, or causes, of the sun-spot cycle. Most thinkers on this difficult subject provide a quasi-explanation of the periodicity through certain assumed vicissitudes affecting internal processes. In all these theories, however, the course of transition is arbitrarily arranged to suit a period, which imposes itself as a fact peremptorily claiming admittance, while obstinately defying explanation"

Agnes M. Clerke, A Popular History of Astronomy During the Nineteenth Century, page 163, 4th edition, A. & C. Black, London, 1902.

Page 44: 1 Predicting the Solar Cycle Leif Svalgaard Stanford University Solar Analogs II Flagstaff, AZ, Sept. 22, 2009

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AbstractWe discuss a number of aspects related to our understanding of the solar dynamo. We begin by illustrating the lack of our understanding. Perhaps as exemplified by SWPC's Solar Cycle 24 Prediction Panel. They received and evaluated ~75 prediction papers with predicted sunspot number maxima ranging from 40 to 200 and with a near normal distribution around the climatological mean indicative of the poor State of the Art. Flux Transport Dynamo Models were recently hyped? or hoped? to promise significant progress, but they give widely differing results and thus seem inadequate in their current form. In these models, higher meridional flow speed should produce strong polar fields and a short solar cycle, contrary to the observed behavior of increased meridional flow speed, low polar fields, and long-duration cycle 23. Poorly understood Precursor-methods again seem to work as they have in previous cycles. I review the current status of these methods. Predictions are usually expressed in terms of maximum Sunspot Number or maximum F10.7 radio flux, with the implicit assumption that there is a fixed [and good] relation between these measures of solar activity. If Livingston & Penn’s observations of a secular change in sunspot contrast hold up, it becomes an issue which of these two measures of solar activity should be predicted and what this all means. The coming cycle 24 may challenge cherished and long-held beliefs and paradigms. .