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Directly Driven and Unloading Components of Magnetospheric Substorms

Directly Driven and Unloading Components of Magnetospheric Substorms
磁层亚暴的直接驱动和卸载分量
批准号:
9311474
负责人:
Syun-Ichi Akasofu
金额:
$15.8万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
1994
资助国家:
美国
项目状态:
已结题
起止时间:
1994-02-01 至 1996-07-31

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中文摘要
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英文摘要
9311474 Akasofu Substorm studies would significant by advance if we could identify the directly driven component and the unloading component and how they vary as a function of time during a substorm. Unfortunately, the present accuracy of substorm and storm indices, such as AE, Dst and Ut, is not sufficient for such proposes; in particular in advancing a study of the relationship between the energy dissipated in the magnetosphere with solar wind and IMF parameters, such as V, Bz, , etc. It is proposed to examine: (i) whether "void regions" in DMSP particle data can be regarded as a "working definition" of open field line regions in the polar cap and (ii) if so, changes of the size of the void region during many substorms could indicate changes of the open flux, on the basis of simultaneous DMSP electron data together with the IMF Bz, AE, Dst, , etc. If the "working definition" of the open field line region could be confirmed, the size of the open field line region is a relatively simple geometrical quantity, but yet a measure of the flux of the open field lines and of magnetic energy in the tail lobe. A comparison of the flux with IMF and magnetospheric parameters is expected to provide important insights into substorm processes. ***
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Cooperative Agreement Between IARC and NSF
  • 批准号:
    0002239
  • 项目类别:
    Cooperative Agreement
  • 资助金额:
    $2493.13万
  • 财政年份:
    2000
  • 负责人:
    Syun-Ichi Akasofu
  • 依托单位:
Workshop on Computer Assisted Translation of Alaska Native Languages (CATANAL), May 19 - 22, 1999, Fairbanks, Alaska
Travel Aid for the Second International Conference on Substorms (ICS-2); Fairbanks, Alaska; March 7-11, 1994
Travel Aid for the First International Conference on Substorms (ICS)
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Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information