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Scientists Issue Unprecedented Forecast of Next Sunspot Cycle(Forwarded)



 
 
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Default Scientists Issue Unprecedented Forecast of Next Sunspot Cycle(Forwarded)

Media Relations
National Center for Atmospheric Research

Contacts:

For Journalists

Anatta, head of Media Relations
303-497-8604

David Hosansky, NCAR Media Relations
303-497-8611

Mausumi Dikpati, NCAR High Altitude Observatory
303-497-1512

Peter Gilman, NCAR High Altitude Observatory
303-497-1546

UCAR Communications

Yvonne Mondragon, General inquiries
303-497-8601

Nita Razo, Head of Visual Services
303-497-8606

March 6, 2006

Scientists Issue Unprecedented Forecast of Next Sunspot Cycle

BOULDER -- 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). Predicting the Sun's
cycles accurately, years in advance, will help societies plan for active
bouts of solar storms, which can slow satellite orbits, disrupt
communications, and bring down power systems.

The scientists have confidence in the forecast because, in a series of
test runs, the newly developed model simulated the strength of the past
eight solar cycles with more than 98% accuracy. The forecasts are
generated, in part, by tracking the subsurface movements of the sunspot
remnants of the previous two solar cycles. The team is publishing its
forecast in the current issue of Geophysical Research Letters.

"Our model has demonstrated the necessary skill to be used as a
forecasting tool," says NCAR scientist Mausumi Dikpati, the leader of the
forecast team at NCAR's High Altitude Observatory that also includes Peter
Gilman and Giuliana de Toma.

Understanding the cycles

The Sun goes through approximately 11-year cycles, from peak storm
activity to quiet and back again. Solar scientists have tracked them for
some time without being able to predict their relative intensity or
timing.

Forecasting the cycle may help society anticipate solar storms, which can
disrupt communications and power systems and affect the orbits of
satellites. The storms are linked to twisted magnetic fields in the Sun
that suddenly snap and release tremendous amounts of energy. They tend to
occur near dark regions of concentrated magnetic fields, known as
sunspots.

The NCAR team's computer model, known as the Predictive Flux-transport
Dynamo Model, draws on research by NCAR scientists indicating that the
evolution of sunspots is caused by a current of plasma, or electrified
gas, that circulates between the Sun's equator and its poles over a period
of 17 to 22 years. This current acts like a conveyor belt of sunspots.

The sunspot process begins with tightly concentrated magnetic field lines
in the solar convection zone (the outermost layer of the Sun's interior).
The field lines rise to the surface at low latitudes and form bipolar
sunspots, which are regions of concentrated magnetic fields. When these
sunspots decay, they imprint the moving plasma with a type of magnetic
signature. As the plasma nears the poles, it sinks about 200,000
kilometers (124,000 miles) back into the convection zone and starts
returning toward the equator at a speed of about one meter (three feet)
per second or slower. The increasingly concentrated fields become
stretched and twisted by the internal rotation of the Sun as they near the
equator, gradually becoming less stable than the surrounding plasma. This
eventually causes coiled-up magnetic field lines to rise up, tear through
the Sun's surface, and create new sunspots.

The subsurface plasma flow used in the model has been verified with the
relatively new technique of helioseismology, based on observations from
both NSF- and NASA-supported instruments. This technique tracks sound
waves reverberating inside the Sun to reveal details about the interior,
much as a doctor might use an ultrasound to see inside a patient.

Predicting Cycles 24 and 25

The Predictive Flux-transport Dynamo Model is enabling NCAR scientists to
predict that the next solar cycle, known as Cycle 24, will produce
sunspots across an area slightly larger than 2.5% of the visible surface
of the Sun. The scientists expect the cycle to begin in late 2007 or early
2008, which is about 6 to 12 months later than a cycle would normally
start. Cycle 24 is likely to reach its peak about 2012.

By analyzing recent solar cycles, the scientists also hope to forecast
sunspot activity two solar cycles, or 22 years, into the future. The NCAR
team is planning in the next year to issue a forecast of Cycle 25, which
will peak in the early 2020s.

"This is a significant breakthrough with important applications,
especially for satellite-dependent sectors of society," explains NCAR
scientist Peter Gilman.

The NCAR team received funding from the National Science Foundation and
NASAšs Living with a Star program.

The National Center for Atmospheric Research and UCAR Office of Programs
are operated by University Corporation for Atmospheric Research under the
sponsorship of the National Science Foundation and other agencies.

Related sites on the World Wide Web:

* NCAR's High Altitude Observatory
http://www.hao.ucar.edu/
* Geophysical Research Letters
http://www.agu.org/journals/gl/

IMAGE CAPTIONS:

[Image 1:
http://www.ucar.edu/news/releases/20...solargroup.jpg (21KB)]
NCAR scientists Mausumi Dikpati (left), Peter Gilman, and Giuliana de Toma
examine results from a new computer model of solar dynamics. (Photo by
Carlye Calvin, UCAR)

[Image 2:
http://www.ucar.edu/news/releases/20...predic24-1.jpg (101KB)]
NCAR scientists have succeeded in simulating the intensity of the sunspot
cycle by developing a new computer model of solar processes. This figure
compares observations of the past 12 cycles (above) with model results
that closely match the sunspot peaks (below). The intensity level is based
on the amount of the Sun's visible hemisphere with sunspot activity. The
NCAR team predicts the next cycle will be 30-50% more intense than the
current cycle. (Figure by Mausumi Dikpati, Peter Gilman, and Giuliana de
Toma, NCAR.)


 




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