Collaborative Research: A Next-Generation Model of the Corona and Solar Wind

提案人将通过将SAIC的MAS代码与科罗拉多州的ENLIL代码相结合，开发太阳物理建模的战略能力，这是当今最复杂的模型之一。MAS和ENLIL的结合将提供尖端技术，用于获得随时间变化的光球磁场数据，并产生一个gui驱动的产品，将广泛吸引太阳和日球科学界。提案团队包括太阳磁力计、表面通量演化模型、日冕和太阳风模型以及计算物理学方面的专家。他们的新模型将封装MAS和ENLIL的功能，以及将在此工作过程中开发和合并的重要改进。观测到的光球磁场是MAS和ENLIL模拟的主要边界条件，它们的太阳风解强烈依赖于这些边界条件。因此，建议的工作包括详细的研究，以提高这种观察输入的质量。提议者打算用通量传输代码的时间依赖输出来驱动他们的新模型，从而可以生成太阳风的实时模型，并将其交付给社区协调建模中心（CCMC）。最终，这个模型可能会取代目前在科罗拉多州博尔德市国家气象局空间环境中心使用的wang - sheey - arge模型。虽然全球磁流体动力学（MHD）模型必然是复杂的，但提议者计划通过提供统一的GUI界面来启动模型运行，从而最大限度地减少用户不必要的复杂性。这里的合作者还将提供一组GUI工具，用于模型输出的后处理、分析和可视化，因为大部分工作已经作为先前和正在进行的程序的一部分完成了。

The proposers will develop a strategic capability for solar physics modeling by combining SAIC's MAS code with Colorado's ENLIL code, which are among the most sophisticated models available today. Coupling MAS and ENLIL will deliver cutting-edge techniques for deriving time-dependent photospheric magnetic field data, as well as result in a GUI-driven product that will appeal broadly to the solar and heliospheric scientific community. The proposing team includes experts in solar magnetometry, surface flux evolution modeling, coronal and solar wind modeling, and computational physics. Their new model will encapsulate the capabilities of both MAS and ENLIL, as well as important improvements that will be developed and incorporated during the course of this work. Observed photospheric magnetic fields are the primary boundary conditions to the MAS and ENLIL simulations, and their solar wind solutions are strongly dependent on these boundary conditions. Thus the proposed work includes detailed studies to improve the quality of this observational input. The proposers intend to drive their new model with time-dependent output from flux transport codes, allowing production of a real-time model of the solar wind which would be delivered to the Community Coordinated Modeling Center (CCMC). Ultimately, this model might replace the current Wang-Sheeley-Arge model at the National Weather Service's Space Environment Center in Boulder, Colorado. While global magnetohydrodynamic (MHD) models are, by necessity, complex, the proposers plan to minimize unnecessary complications for users by providing a uniform GUI interface with which to initiate model runs. The collaborators here will also provide a set of GUI tools for post-processing, analysis, and visualization of model output, since much of this work has already been done as part of previous and ongoing programs.