EMPIRICAL RELATIONSHIP BETWEEN INTERPLANETARY CONDITIONS AND DST
EMPIRICAL RELATIONSHIP BETWEEN INTERPLANETARY CONDITIONS AND DST
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DOI：
10.1029/ja080i031p04204
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发表时间：
1975-01-01
影响因子：
2.8
通讯作者：
RUSSELL, CT
中科院分区：
文献类型：
--
作者：
BURTON, RK;MCPHERRON, RL;RUSSELL, CT
提出了一种仅根据太阳风的速度和密度以及行星际磁场的南北太阳磁层分量的知识来预测地基Dstindex的算法。该模型的三个关键要素是太阳风动压的调整，与行星际电场的黎明到黄昏分量成线性比例的注入率，对于低于0.5 mV m−1的电场为零，以及环电流的指数衰减率，折叠时间为7.7小时。该算法被用来预测1967年和1968年七个磁暴时段的Dst信号。除了相当成功之外，考虑到模型的简单性，该算法还精确地指出了各种类型风暴行为的原因。当行星际电场的黎明到黄昏太阳磁层分量变大且为正值时，主相就开始了。如果太阳风动压在主相之前突然增加，则在主相之前有一个初始阶段。当由行星际电场支配的注入速率下降到低于与主阶段期间建立的环电流强度相关联的环电流衰减速率时，恢复阶段开始。采收率的变化通常是由于采收阶段的额外注入。这一算法解释了磁层在平静和扰动时的行为，似乎能够预测Dst在最大风暴期间的行为。
An algorithm is presented for predicting the ground‐basedDstindex solely from a knowledge of the velocity and density of the solar wind and the north‐south solar magnetospheric component of the interplanetary magnetic field. The three key elements of this model are an adjustment for solar wind dynamic pressure, an injection rate linearly proportional to the dawn‐to‐dusk component of the interplanetary electric field which is zero for electric fields below 0.5 mV m−1, and an exponential decay rate of the ring current with anefolding time of 7.7 hours. The algorithm is used to predict theDstsignature of seven geomagnetic storm intervals in 1967 and 1968. In addition to being quite successful, considering the simplicity of the model, the algorithm pinpoints the causes of various types of storm behavior. A main phase is initiated whenever the dawn‐to‐dusk solar magnetospheric component of the interplanetary electric field becomes large and positive. It is preceded by an initial phase of increasedDstif the solar wind dynamic pressure increases suddenly prior to the main phase. The recovery phase is initiated when the injection rate governed by the interplanetary electric field drops below the ring current decay rate associated with the ring current strength built up during the main phase. Variable recovery rates are generally due to additional injection during the recovery phase. This one algorithm accounts for magnetospheric behavior at quiet and at disturbed times and seems capable of predicting the behavior ofDstduring even the largest of storms.