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GONG Magnetograms Impact on CCMC Modeling

This study focuses on the impact of magnetograms on CCMC modeling, aiming to improve coronal predictions with synthesized data. It emphasizes the challenges and solutions for integrating diverse magnetogram sources in future models.

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GONG Magnetograms Impact on CCMC Modeling

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  1. GONG Magnetograms Impact on CCMC Modeling P.MacNeice , L.Rastaetter, M.Hesse, A.Chulaki, M.Kuznetsova, A.Taktakishvili, M.Maddox http://ccmc.gsfc.nasa.gov NASA Goddard Space Flight Center

  2. Solar and Helio model Inventory Coronal Tomography NRL Coronal 3D MHD Heliospheric Tomography ANMHD NLFFF (Wiegelmann) Fluxon ENLIL(3D mhd > 21.5 ro) MAS(3D mhd < 30 ro) WSA Helio(Empirical/Kinematic < 1 AU) WSA(PFSS + CS <5ro or < 21.5 ro) SWMF Corona(3D mhd < 20 ro) SWMF Helio(3D mhd 20 ro to 1AU) PFSS(< 2.5ro) Exospheric Solar Wind (1D Kinetic coronal hole model)

  3. Magnetograms In Model Chain Kitt Peak Mt Wilson GONG Wilcox MDI magnetograms ? ? ?? MAS PFSS Wang-Sheeley-Arge Harmonic coeffs 30ro 21.5ro SWMF corona and helio ENLIL

  4. WSA Solutions for Same CR 2047 Not Approved for Public Release by Arge Enterprises NSO GONG - in test phase! MWO MDI

  5. WSA Solutions for Same CR 2047 NSO GONG - in test phase!

  6. Operational Modes • ROR system • uses monthly synoptic magnetograms • offers ambient corona and heliosphere for archived data analysis • ‘Realtime’ runs • uses daily updated synoptic magnetograms • ultimate goal to provide fieldline connectivity forecasts • ‘Realtime’ cone models runs • goal to provide earliest prediction of CME arrival times • Magnetogram Issues • Coverage and quality – impacts both ROR and realtime runs • Frequency – GONG much higher cadence, important for realtime cone models

  7. Magnetogram Synthesis How will models use magnetograms to model evolving coronal structures? • Next generation models must give the model developer the ability to construct global magnetograms with the best available data, on the surface grid of their choice, with the spatial and temporal resolution of their choice. • Includes adaptively refining grids • Falls neatly into gap between traditional ‘responsibilities’ of modelers and data providers - who is going to tackle this?

  8. Magnetogram Synthesis • Must blend disparate magnetogram sources • Photospheric and chromospheric • LOS and vector • Limited fov, full disk and synoptic • Temporal and spatial interpolation problem subject to complex model constraints, eg • div B=0 • Minimizing surface currents introduced at stitch-up lines • Force free boundary condition support for FFF models • Surface flow analysis for MHD - vital to include data quality measures with magnetograms • Conditioning magnetogram solution using coronal loop imaging

  9. Magnetogram Synthesis (contd) • Requires acquisition and processing of multiple data types (both magnetogram and coronal and chromospheric imaging). • Chromospheric magnetograms - will also need to integrate data from multiple heights in the atmosphere – a task which will inevitably require model input. • Requires a genuine ‘data assimilation’ supporting tool - perhaps the first real example of data assimilation in a solar context. • Beginning to develop this infrastructure element • CCMC’s KAMELEON data formatter as core • Separate lightweight and heavyweight processing layers • CAD-like visualization support

  10. Magnetogram Synthesis (contd) Soliciting requirements input from model developers and magnetogram providers eg • Model pre-processing requirements • What is possible in terms of magnetogram quality measures

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