01.03.2013 Views

scostep 2010 (stp12) - Leibniz-Institut für Atmosphärenphysik an der ...

scostep 2010 (stp12) - Leibniz-Institut für Atmosphärenphysik an der ...

scostep 2010 (stp12) - Leibniz-Institut für Atmosphärenphysik an der ...

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

STP12 Abstracts<br />

Berlin, 12 - 16 July <strong>2010</strong><br />

SCOSTEP Symposium <strong>2010</strong><br />

Dynamo Model Based Solar Cycle Predictions<br />

N<strong>an</strong>dy Dibyendu<br />

Indi<strong>an</strong> <strong>Institut</strong>e of Science Education <strong>an</strong>d Research, Kolkata<br />

Predicting the amplitude of future sunspot cycles is import<strong>an</strong>t for assessing it’s forcing on pl<strong>an</strong>etary<br />

atmospheres, including climate <strong>an</strong>d mitigating the adverse effect of space weather on our technologies<br />

based in space <strong>an</strong>d here on Earth. The origin of the sunspot cycle <strong>an</strong>d its fluctuations is governed by a<br />

magnetohydrodynamic dynamo mech<strong>an</strong>ism in the solar interior. Ultimately therefore, physics based<br />

predictions of the solar cycle c<strong>an</strong> only be achieved if we un<strong>der</strong>st<strong>an</strong>d the processes that contribute to<br />

this dynamo mech<strong>an</strong>ism. Such dynamo based predictions of the upcoming Solar Cycle 24 has however<br />

generated completely different results (from very high to very low predictions). Moreover, the NOAA-<br />

NASA international solar cycle prediction p<strong>an</strong>el charged with coming up with a forecast failed to<br />

arrive at a consensus early on, <strong>an</strong>d later revised its prediction for Solar Cycle 24. In this talk, based<br />

upon some recent work, I will argue that we are just beginning to un<strong>der</strong>st<strong>an</strong>d the interplay between<br />

different processes that determine the physics of solar cycle prediction. I will also present results that<br />

may help discriminate between the different (physics based) solar cycle predictions, <strong>an</strong>d which may<br />

eventually lead towards a more physically well-founded forecast for the upcoming Solar Cycle 24

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!