Modeling sunspots during times when few are seen

(h/t to Michael Ronayne)

NCAR

Sunspots Revealed in Striking Detail by Supercomputers

BOULDER—In a breakthrough that will help scientists unlock mysteries of the Sun and its impacts on Earth, an international team of scientists led by the National Center for Atmospheric Research (NCAR) has created the first-ever comprehensive computer model of sunspots. The resulting visuals capture both scientific detail and remarkable beauty.

flower-like shape; dark center, bright petals
The interface between a sunspot's umbra (dark center) and penumbra (lighter outer region) shows a complex structure with narrow, almost horizontal (lighter to white) filaments embedded in a background having a more vertical (darker to black) magnetic field. Farther out, extended patches of horizontal field dominate. For the first time, NCAR scientists and colleagues have modeled this complex structure in a comprehensive 3D computer simulation, giving scientists their first glimpse below the visible surface to understand the underlying physical processes.

The high-resolution simulations of sunspot pairs open the way for researchers to learn more about the vast mysterious dark patches on the Sun’s surface. Sunspots are the most striking manifestations of solar magnetism on the solar surface, and they are associated with massive ejections of charged plasma that can cause geomagnetic storms and disrupt communications and navigational systems. They also contribute to variations in overall solar output, which can affect weather on Earth and exert a subtle influence on climate patterns.

The research, by scientists at NCAR and the Max Planck Institute for Solar System Research (MPS) in Germany, is being published this week in Science Express.

“This is the first time we have a model of an entire sunspot,” says lead author Matthias Rempel, a scientist at NCAR’s High Altitude Observatory. “If you want to understand all the drivers of Earth’s atmospheric system, you have to understand how sunspots emerge and evolve. Our simulations will advance research into the inner workings of the Sun as well as connections between solar output and Earth’s atmosphere.”

Ever since outward flows from the center of sunspots were discovered 100 years ago, scientists have worked toward explaining the complex structure of sunspots, whose number peaks and wanes during the 11-year solar cycle. Sunspots encompass intense magnetic activity that is associated with solar flares and massive ejections of plasma that can buffet Earth’s atmosphere. The resulting damage to power grids, satellites, and other sensitive technological systems takes an economic toll on a rising number of industries.

Creating such detailed simulations would not have been possible even as recently as a few years ago, before the latest generation of supercomputers and a growing array of instruments to observe the Sun. Partly because of such new technology, scientists have made advances in solving the equations that describe the physics of solar processes.

The work was supported by the National Science Foundation, NCAR’s sponsor. The research team improved a computer model, developed at MPS, that built upon numerical codes for magnetized fluids that had been created at the University of Chicago.

Computer model provides a unified physical explanation

The new computer models capture pairs of sunspots with opposite polarity. In striking detail, they reveal the dark central region, or umbra, with brighter umbral dots, as well as webs of elongated narrow filaments with flows of mass streaming away from the spots in the outer penumbral regions. They also capture the convective flow and movement of energy that underlie the sunspots, and that are not directly detectable by instruments.

The models suggest that the magnetic fields within sunspots need to be inclined in certain directions in order to create such complex structures. The authors conclude that there is a unified physical explanation for the structure of sunspots in umbra and penumbra that is the consequence of convection in a magnetic field with varying properties.

The simulations can help scientists decipher the mysterious, subsurface forces in the Sun that cause sunspots. Such work may lead to an improved understanding of variations in solar output and their impacts on Earth.

Supercomputing at 76 trillion calculations per second

To create the model, the research team designed a virtual, three-dimensional domain that simulates an area on the Sun measuring about 31,000 miles by 62,000 miles and about 3,700 miles in depth – an expanse as long as eight times Earth’s diameter and as deep as Earth’s radius. The scientists then used a series of equations involving fundamental physical laws of energy transfer, fluid dynamics, magnetic induction and feedback, and other phenomena to simulate sunspot dynamics at 1.8 billion points within the virtual expanse, each spaced about 10 to 20 miles apart. For weeks, they solved the equations on NCAR’s new bluefire supercomputer, an IBM machine that can perform 76 trillion calculations per second.

The work drew on increasingly detailed observations from a network of ground- and space-based instruments to verify that the model captured sunspots realistically.

The new models are far more detailed and realistic than previous simulations that failed to capture the complexities of the outer penumbral region. The researchers noted, however, that even their new model does not accurately capture the lengths of the filaments in parts of the penumbra. They can refine the model by placing the grid points even closer together, but that would require more computing power than is currently available.

“Advances in supercomputing power are enabling us to close in on some of the most fundamental processes of the Sun,” says Michael Knölker, director of NCAR’s High Altitude Observatory and a co-author of the paper. “With this breakthrough simulation, an overall comprehensive physical picture is emerging for everything that observers have associated with the appearance, formation, dynamics, and the decay of sunspots on the Sun’s surface.”

aerial

First view of what goes on below the surface of sunspots. Lighter/brighter colors indicate stronger magnetic field strength in this subsurface cross section of two sunspots. For the first time, NCAR scientists and colleagues have modeled this complex structure in a comprehensive 3D computer simulation, giving scientists their first glimpse below the visible surface to understand the underlying physical processes. This image has been cropped horizontally for display. [ENLARGE & DISPLAY FULL IMAGE] (©UCAR, image courtesy Matthias Rempel, NCAR. News media terms of use*)

See a video animation of this and other sunspot visualizations as well as still “photo” images in the Sunspots Multimedia Gallery.

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June 21, 2009 10:45 am

“With this breakthrough simulation, an overall comprehensive physical picture is emerging for everything that observers have associated with the appearance, formation, dynamics, and the decay of sunspots on the Sun’s surface.”
A bit of hype here “everything”. As with all models the result depends on what you put in. Models do not create new knowledge, but helps visualize existing knowledge, in combination with assumptions about what you don’t know yet. If the model does not quite explain “everything” you can try varying your assumptions to see what might have to be changed in a way consistent with the equations that you have posited from the outset. A persistent problem in solar magnetic modeling is that as you go to finer and finer scales, the less accurate the model becomes because of lack of computer power, while at the same time telling us that the most interesting things [and determining factors] happen at still finer scales.

anna v
June 21, 2009 10:52 am

To create the model, the research team designed a virtual, three-dimensional domain that simulates an area on the Sun measuring about 31,000 miles by 62,000 miles and about 3,700 miles in depth – an expanse as long as eight times Earth’s diameter and as deep as Earth’s radius. The scientists then used a series of equations involving fundamental physical laws of energy transfer, fluid dynamics, magnetic induction and feedback, and other phenomena to simulate sunspot dynamics at 1.8 billion points within the virtual expanse, each spaced about 10 to 20 miles apart. For weeks, they solved the equations on NCAR’s new bluefire supercomputer, an IBM machine that can perform 76 trillion calculations per second.
Oh dear.

D. King
June 21, 2009 11:15 am

involving fundamental physical laws of energy transfer, fluid dynamics, magnetic induction
Sounds good.
and feedback, and other phenomena to simulate sunspot dynamics at 1.8 billion points within the virtual expanse,
Uh oh.

rbateman
June 21, 2009 11:17 am

while at the same time telling us that the most interesting things [and determining factors] happen at still finer scales.
That’s an eye-opener, Leif.

June 21, 2009 11:29 am

Maybe next they can simulate the Cubs winning the pennant.
Isn’t virtual reality wonderful? If I had a supercomputer there’s no telling what I would simulate. My first choice would be a rational world, but that’s pretty farfetched. Maybe I’d just start off with a rational neighborhood.
Thank goodness somebody is engaged in reality-based activities, such as farming, forestry, and that boring food-clothing-shelter stuff. Otherwise the Great Philosophers of Science would go hungry, naked, and wandering aimlessly in the snow.

timetochooseagain
June 21, 2009 11:31 am

Computers are the new experiments. God help the scientific method….

AnonyMoose
June 21, 2009 11:37 am

I’ll call this a good start.

crosspatch
June 21, 2009 11:39 am

Sounds like someone desperate to justify funding. Something looks oddly too symmetrical about it to me.

KimW
June 21, 2009 11:42 am

So the model just shows what we already know or infer and cannot show anything we do not. Too bad if there is anything new and unknown.
Some people might confuse this withan actual “Experiment” with real observations.

Kath
June 21, 2009 11:45 am

It doesn’t clearly explain some of the structures I’ve seen in photographs of a sunspot, but it’s a start. In my branch of the sciences, computer models have to be supported by experiments and verified.

JFA in Montreal
June 21, 2009 11:51 am

Garbage In – Garbage Out …

anna v
June 21, 2009 11:56 am

timetochooseagain (11:31:14) :
Computers are the new experiments. God help the scientific method….
When I was a graduate student back in the 1960’s I remember having strong arguments with a freshly arrived from England computer PhD , who was adamant in maintaining that pretty soon there would be no need for experiments like the CERN experiments because computers could simulate all experiments.
Not much has changed since then in people mesmerized by computing, except the power of computers, since my laptop is now more powerful than the “supercomputer” of the time.

Douglas DC
June 21, 2009 12:05 pm

Why am I thinking of “Hitchiker’s Guide to the Galaxy”-“Deep Thought” supercomputer?

MikeN
June 21, 2009 12:08 pm

Well the model is predicting a comeback for the sun soon.

pwl
June 21, 2009 12:18 pm

Pass the grains of salt please for we need a dose… models are excellent, as another above said, for learning and putting our knowledge or lack there of to the test to see how accurate it is with Nature. If you fail to test the model against the actual objective reality then you’re not doing science but you’re in the special effects business for the next Star Trek Film – Journey to the Center of the Sun.
Remember all the limitations, inaccuracies, misrepresentations, foibles, and possibly even all the conclusions of models that apply to climates on Earth also applies to models of the super tropical climate on Sol.
Of course if a model of the Sun’s spots was accurate the computer running the model and everything else on Earth would be instantly incinerated. Since to model the sun accurately you’d need to recreate it! Let’s not and say we did. 😉

June 21, 2009 12:36 pm

Leif Svalgaard (10:45:28)
A persistent problem in solar magnetic modeling is that as you go to finer and finer scales, the less accurate the model becomes because of lack of computer power, while at the same time telling us that the most interesting things [and determining factors] happen at still finer scales.
If computing power is really the main drawback of these models, they may indeed be more helpful in the not to distant future. Although the bluefire machine they used was delivered only a little over a year ago, it is already well off the state of the art. The best machines are now well into the PetaFlop range, i.e. doing 1-4 million billion calcs/sec and I’ve seen a recent report of a new machine in the pipeline which will be pushing the 100 PFlop barrier in a few years. The only things that seem to be limiting the development of supercomputer tech right now are the massive amounts of money and the massive supplies of energy they require.

June 21, 2009 12:52 pm

Supercomputing at 76 trillion calculations per second
I could use a faster computer, but it’d still be on dial-up.

Gordon Ford
June 21, 2009 1:05 pm

Ground truthing that model will be interesting!

Robert Wood
June 21, 2009 1:28 pm

Constructing a computer model is a valuable exercise for understanding what we know, but it doesn’t create data, nor prove theories. It is merely a tool for exploring the complex interactions of mathemateical equations – which are the real models.

Bill Illis
June 21, 2009 1:41 pm

There is still a way to go with this simulation I imagine.
The Swedish 1 Metre Solar Telescope seems to produce the best close-up pictures of the Sun using adaptive optics.
There is a lot of 3D effects that don’t seem to be properly caught in the simulation if you can see the different 3D structures in a sunspot in this image which is probably the best close-up ever taken of the interior of a sunspot.
http://www.solarphysics.kva.se/gallery/images/2003/halpha_22Aug2003_AR.4996.MFBD_color.jpg
other pics.
http://www.solarphysics.kva.se/gallery/images/2003/gband_02Jun2003_AR373.2539.MFBD_color.jpg
http://www.solarphysics.kva.se/gallery/images/2002/24jul02_gcont_ai.jpg
This movie takes awhile to fully load but is quite amazing.
http://www.solarphysics.kva.se/gallery/movies/oslo-2004/movies/gband_20Aug2004_sunspot_41min_color.mpg
Home page with other pics and movies.
http://www.solarphysics.kva.se/

June 21, 2009 2:02 pm

Dave Wendt (12:36:31) :
I’ve seen a recent report of a new machine in the pipeline which will be pushing the 100 PFlop barrier in a few years.
The ‘modern’ supercomputers achieve their massive throughput by running thousands of threads or even CPUs in parallel. This works for problems that can be ‘parallelized’ , but does not help much for ‘serial’ problems, so there are problems that cannot benefit from that kind of supercomputer, namely those where the next step depends on the previous step.

Ray
June 21, 2009 2:04 pm

I can’t look at that picture… My vision throbs!

Katherine
June 21, 2009 2:12 pm

For the first time, NCAR scientists and colleagues have modeled this complex structure in a comprehensive 3D computer simulation, giving scientists their first glimpse below the visible surface to understand the underlying physical processes.

Shouldn’t that be “what they think lies below the visible surface”? It’s just a model after all, not the real thing.

KlausB
June 21, 2009 2:49 pm

re: {B} Leif Svalgaard (14:02:18) :
The ‘modern’ supercomputers achieve their massive throughput by running thousands of threads or even CPUs in parallel. This works for problems that can be ‘parallelized’ , but does not help much for ’serial’ problems, so there are problems that cannot benefit from that kind of supercomputer, namely those where the next step depends on the previous step.{/b}
Leif, yep, that’s it.
It was already tried to distibute preliminary results on massive parallel computers,
to bypass the step by step chain. A hell to program it, not worth the effort.
Was there, saw that. And it did’t make sense to me.

Aelric
June 21, 2009 2:51 pm

On a lighter note:
Let us hope that the authors didn’t submit the ‘Eye of Sauron’ jpg by mistake!

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