New Global Solar Magnetic Field Maps Using the ADAPT Data Assimilation and Flux Transport Model

Physics – Plasma Physics

Scientific paper

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[7524] Solar Physics, Astrophysics, And Astronomy / Magnetic Fields, [7529] Solar Physics, Astrophysics, And Astronomy / Photosphere, [7833] Space Plasma Physics / Mathematical And Numerical Techniques, [7924] Space Weather / Forecasting

Scientific paper

As the primary input to all coronal and solar wind models, global estimates of the solar photospheric magnetic field distribution are critical to space weather forecasting. These global magnetic maps are essential for accurate modeling of the corona and solar wind, which is vital for gaining the basic understanding necessary to improve forecasting models needed for Air Force operations. In this poster, we describe our efforts and progress toward developing the Air Force Data Assimilative Photospheric flux Transport (ADAPT) model. ADAPT incorporates the Los Alamos National Laboratory ensemble Kalman filter data assimilation technique with a modified version of the Worden and Harvey photospheric magnetic flux transport model. The flux transport model evolves the observed solar magnetic flux using relatively well understood transport processes when measurements are not available and then updates the modeled flux with new observations using the ensemble Kalman filter. The data assimilation with the ensemble Kalman filter rigorously takes into account model and observational uncertainties, as well as accounting for regional correlations. In traditional photospheric field synoptic maps the magnetic field measurements residing at the poles are usually the least reliable because of their close proximity to the limb. This is due to the highly variable horizontal magnetic signal that becomes increasingly prevalent in the field measurements near the solar limb. In ADAPT, the polar fields are filled naturally via the model transport processes. In this paper, we report on comparisons between polar fluxes obtained using the ADAPT model with those using more traditional polar correction/fill methods as well as for periods when the poles are well observed.

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