Kavli Affiliate: J. Todd Hoeksema
| First 5 Authors: Soumyaranjan Dash, Marc L. DeRosa, Mausumi Dikpati, Xudong Sun, Sushant S. Mahajan
| Summary:
Knowledge of the global magnetic field distribution and its evolution on the
Sun’s surface is crucial for modeling the coronal magnetic field, understanding
solar wind dynamics, computing the heliospheric open flux distribution and
predicting solar cycle strength. As the far side of the Sun cannot be observed
directly and high-latitude observations always suffer from projection effects,
we often rely on surface flux transport simulations (SFT) to model long-term
global magnetic field distribution. Meridional circulation, the large-scale
north-south component of the surface flow profile, is one of the key components
of the SFT simulation that requires further constraints near high latitudes.
Prediction of the photospheric magnetic field distribution requires knowledge
of the flow profile in the future, which demands reconstruction of that same
flow at the current time so that it can be estimated at a later time. By
performing Observing System Simulation Experiments, we demonstrate how the
Ensemble Kalman Filter technique, when used with a SFT model, can be utilized
to make “posterior” estimates of flow profiles into the future that can be
used to drive the model forward to forecast photospheric magnetic field
distribution.
| Search Query: ArXiv Query: search_query=au:”J. Todd Hoeksema”&id_list=&start=0&max_results=3