| 项目编号: | 1702147
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| 项目名称: | GEM: Multi-scale Empirical Geomagnetic Field Modeling |
| 作者: | Mikhail Sitnov
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| 承担单位: | Johns Hopkins University
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| 批准年: | 2017
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| 开始日期: | 2017-09-01
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| 结束日期: | 2020-08-31
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| 资助金额: | 335193
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| 资助来源: | US-NSF
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| 项目类别: | Standard Grant
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| 国家: | US
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| 语种: | 英语
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| 特色学科分类: | Geosciences - Atmospheric and Geospace Sciences
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| 英文关键词: | geomagnetic field
; magnetic field
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| 英文摘要: | Sophisticated empirical models of the Earth's magnetic field have been built over decades of data collected from spaceborne instruments. These models are a necessary compliment to the physics-based first-principles models. The project goals are to improve one such empirical model of the magnetosphere to include longer, solar cycle time scales and shorter, substorm time scales. This will vastly improve understanding of the near-Earth environment, which is important for ultimately protecting modern technology. The effort will promote hands-on research training for a graduate student and a summer student.
This project is to fundamentally upgrade the storm-scale empirical geomagnetic field TS07D model to include geomagnetic variations on time scales both longer and shorter than those of storms. The former are caused by the solar cycle variations of the solar radiation (quantified by the F10.7 flux). The latter represent substorm effects quantified by auroral indices. The work will address what the impact of the solar irradiance on the structure of the geomagnetic field and underlying current system is, and how substorm thinning and dipolarization of the magnetotail affect the empirical picture of the geomagnetic field. The new model upgrade, which is aimed to answer these questions, employs multiple expansions of equatorial currents with different current sheet thickness values as well as an improved description of the field aligned current system. It combines the system science approach, when the evolution of a few global parameters of the magnetosphere is reconstructed empirically, with the physics-based approach, which is used to constrain spatio-temporal scales and structure of the empirical model. |
| 资源类型: | 项目
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/89106
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| Appears in Collections: | 全球变化的国际研究计划
科学计划与规划
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| Recommended Citation: | |
Mikhail Sitnov. GEM: Multi-scale Empirical Geomagnetic Field Modeling. 2017-01-01.
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