Space Weather Operations-to-Research (O2R): Physics-Based Extension of the Wang-Sheeley-Arge (WSA) Model Capabilities

空间天气从操作到研究 (O2R)：基于物理的 Wang-Sheeley-Arge (WSA) 模型功能扩展

• 批准号: 1836821
• 负责人: Igor Sokolov
• 金额: $ 24.94万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-03-01 至 2022-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1836821&HistoricalAwards=false
• 关键词: Space; Weather; Operations; Research; O2R

This is a 1-year pilot research program to extend the current operational capability of forecasting the solar wind, which drives space weather in the Earth's environment. The research will enhance understanding of the fundamental processes in the solar wind and allow the further Research to Operation (R2O) transition to a predictive tool to simulate and forecast dynamical Space Weather Events. The research project will also provide education and training opportunities for students in Space Weather.This is a 1-year pilot research program to extend the current operational capability of forecasting the ambient state of the solar wind. The Wang-Sheeley-Arge (WSA) model is currently used for operational forecasts of the solar wind. The semi-empirical WSA model provides a distribution of the solar wind parameters at a spherical interface between the Solar Corona (SC) and Inner Heliosphere (IH) based on the latest synoptic map for the solar magnetic field. The research will develop a physics-based, self-consistent model to understand and forecast the ambient state of the Solar Corona (SC). The research will (1) enhance understanding of the fundamental processes, (2) improve our capability to model and forecast the ambient state in both SC and IH, and (3) allow the further Research to Operation (R2O) transition to a predictive tool to simulate and forecast dynamical Space Weather Events. The new model for the SC based on the Alfven wave turbulence will be delivered to the Community Coordinated Modeling Center (CCMC) to enable broad use by the heliophysics community. Realtime runs of the model at CCMC will be available to observers, who can use these models results to interpret the observational data. The research project will also provide education and training opportunities for students.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这是一个为期一年的试点研究项目，旨在扩大目前预测太阳风的操作能力，太阳风驱动着地球环境中的空间天气。该研究将加强对太阳风基本过程的了解，并使进一步的从研究到运行（R2O）过渡到模拟和预测动态空间天气事件的预测工具。该研究项目还将为学生提供空间天气方面的教育和培训机会。这是一项为期一年的试点研究计划，旨在扩大目前预测太阳风环境状态的业务能力。wang - sheey - arge （WSA）模式目前用于太阳风的业务预报。半经验WSA模型基于最新的太阳磁场天气图，给出了太阳日冕（SC）和内日光层（IH）之间的球面界面上太阳风参数的分布。该研究将开发一个基于物理的、自洽的模型，以了解和预测太阳日冕（SC）的环境状态。该研究将(1)加强对基本过程的理解，(2)提高我们模拟和预测SC和IH环境状态的能力，以及(3)允许进一步从研究到操作（R2O）过渡到模拟和预测动态空间天气事件的预测工具。基于Alfven波湍流的SC新模型将交付给社区协调模拟中心（CCMC），使太阳物理社区能够广泛使用。CCMC的模型实时运行将提供给观测者，他们可以使用这些模型的结果来解释观测数据。该研究项目还将为学生提供教育和培训机会。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Stream-aligned Magnetohydrodynamics for Solar Wind Simulations

• DOI: 10.3847/1538-4357/ac400f
• 发表时间: 2021-10
• 期刊: The Astrophysical Journal
• 作者: I. Sokolov;Lulu Zhao;T. Gombosi

Surface Alfven Wave Reflection as the Slow Wind Formation Mechanism in the Alfven Wave Driven Solar Atmosphere Model

表面阿尔文波反射作为阿尔文波驱动太阳大气模型中慢风形成机制

• 发表时间: 2020
• 期刊: 2020 Fall AGU Meeting
• 作者: Sokolov, Igor V.;van der Holst, Bart;Arge, Ch. Nick;Zhao, Lulu;Gombosi, Tamas
• 通讯作者: Gombosi, Tamas