Towards using modern data assimilation and weather forecasting methods in solar physics

Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

9

Sun: Activity, Sun: Magnetic Fields, Sun: Rotation, Solar-Terrestrial Relation, Methods: Numerical, Methods: Data Analysis

Scientific paper

We discuss how data assimilation and forecasting methods developed in Earth's weather prediction models could be used to improve our capability to anticipate solar dynamical phenomena and assimilate the huge amount of data that new solar satellites, such as SDO or Hinode, will provide in the coming years. We illustrate with some simple examples such as the solar magnetic activity cycle, the eruption of CMEs, the real potential of such methods for solar physics. We believe that we now need to jointly develop solar forecasting models, whose purpose are to assimilate observational data in order to improve our predictability power, with ``first principle'' solar models, whose purpose is to understand the underpinning physical processes behind the solar dynamics. These two complementary approaches should lead to the development of a solar equivalent of Earth's general circulation model.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Towards using modern data assimilation and weather forecasting methods in solar physics does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Towards using modern data assimilation and weather forecasting methods in solar physics, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Towards using modern data assimilation and weather forecasting methods in solar physics will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-857191

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.