2011/05/03 by Laurène Jouve, Laurene Jouve, Allan Sacha Brun +1
Biochemistry, Genetics and Molecular Biology · Earth and Planetary Sciences · Physics and Astronomy · #Data assimilation #Dynamo #Dynamo theory #Geomagnetism and Paleomagnetism Studies #Geophysics and Gravity Measurements #Minification #Solar and Space Plasma Dynamics #Solar dynamo #Variational method #Variational principle #Work (physics) #astro-ph.SR
paper · pdf · doi:10.1088/0004-637x/735/1/31
16 pages, 14 figures, accepted for publication in ApJ
arxiv created 2011/05/03 · openalex publication_date 2011/06/13 · arxiv updated 2015/05/28 · openalex created_date 2016/06/24 · openalex updated_date 2026/08/05
We have developed a variational data assimilation technique for the Sun using a toy αΩ dynamo model. The purpose of this work is to apply modern data assimilation techniques to solar data using a physically based model. This work represents the first step toward a complete variational model of solar magnetism. We derive the adjoint αΩ dynamo code and use a minimization procedure to invert the spatial dependence of key physical ingredients of the model. We find that the variational technique is very powerful and leads to encouraging results that will be applied to a more realistic model of the solar dynamo.